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Publikationen

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Heinz M and Nelles O (2022), "Parameter Identification of an Electric Powertrain with Backlash", In 2022 30th Mediterranean Conference on Control and Automation (MED). , pp. 330-335.

[BibTeX]
BibTeX: 
@inproceedings{heinz2022parameter,
  author = {Heinz, Melanie and Nelles, Oliver},
  title = {Parameter Identification of an Electric Powertrain with Backlash},
  booktitle = {2022 30th Mediterranean Conference on Control and Automation (MED)},
  year = {2022},
  pages = {330--335}
}
Heinz M, Reichenbacher M and Nelles O (2022), "Estimation of Torsional Backlash Angle in Electric Powertrains", In 2022 IEEE Conference on Control Technology and Applications (CCTA). , pp. 1017-1022.

[BibTeX]
BibTeX: 
@inproceedings{heinz2022estimation,
  author = {Heinz, Melanie and Reichenbacher, Marc and Nelles, Oliver},
  title = {Estimation of Torsional Backlash Angle in Electric Powertrains},
  booktitle = {2022 IEEE Conference on Control Technology and Applications (CCTA)},
  year = {2022},
  pages = {1017--1022}
}
Illg C, Kösters T, Kiroriwal S and Nelles O (2022), "Adaptive System Identification with Regularized FIR Models", IFAC-PapersOnLine. Vol. 55(12), pp. 1-6. Elsevier.

[BibTeX]
BibTeX: 
@article{illg2022adaptive,
  author = {Illg, Christopher and Kösters, Tarek and Kiroriwal, Saksham and Nelles, Oliver},
  title = {Adaptive System Identification with Regularized FIR Models},
  journal = {IFAC-PapersOnLine},
  publisher = {Elsevier},
  year = {2022},
  volume = {55},
  number = {12},
  pages = {1--6}
}
Illg C and Nelles O (2022), "Adaptive Model Predictive Control with Regularized Finite Impulse Response Models", ATHENA Research Book, Volume. , pp. 327.

[BibTeX]
BibTeX: 
@article{illg2022adaptive,
  author = {Illg, Christopher and Nelles, Oliver},
  title = {Adaptive Model Predictive Control with Regularized Finite Impulse Response Models},
  journal = {ATHENA Research Book, Volume},
  year = {2022},
  pages = {327}
}
Jung H, Nelles O, Kraemer P, Weinberg K, Kampmann G and Fritzen C-P (2022), "Automatic System Identification for Robust Fault Detection of Railway Suspensions", In RAIL2022: Fifth International Conference on Railway Technology. Montpellier, France Elsevier.

[BibTeX]
BibTeX: 
@inproceedings{Jung2022,
  author = {Jung, Henning and Nelles, Oliver and Kraemer, Peter and Weinberg, Kerstin and Kampmann, Geritt and Fritzen, Claus-Peter},
  title = {Automatic System Identification for Robust Fault Detection of Railway Suspensions},
  booktitle = {RAIL2022: Fifth International Conference on Railway Technology},
  publisher = {Elsevier},
  year = {2022}
}
Kösters T, Heinz TO and Nelles O (2022), "Optimization Based Excitation Signal Design Tailored to Application Specific Requirements", IFAC-PapersOnLine. Vol. 55(37), pp. 451-456. Elsevier.

[BibTeX]
BibTeX: 
@article{kosters2022optimization,
  author = {Kösters, Tarek and Heinz, Tim O and Nelles, Oliver},
  title = {Optimization Based Excitation Signal Design Tailored to Application Specific Requirements},
  journal = {IFAC-PapersOnLine},
  publisher = {Elsevier},
  year = {2022},
  volume = {55},
  number = {37},
  pages = {451--456}
}
Nelles D and Nelles O (2022), "Grundlagen der Elektrotechnik zum Selbststudium: Band 2: Elektrische Felder, 2. Auflage" Berlin, Germany VDE-Verlag.

[BibTeX]
BibTeX: 
@book{Nelles_Nelles_Band2,
  author = {Nelles, Dieter and Nelles, Oliver},
  title = {Grundlagen der Elektrotechnik zum Selbststudium: Band 2: Elektrische Felder, 2. Auflage},
  publisher = {VDE-Verlag},
  year = {2022}
}
Pak D, Nelles O, Kraemer P and Kampmann G (2022), "A Structural Health Monitoring Approach for Rail Fastening Systems", In RAIL2022: Fifth International Conference on Railway Technology. Montpellier, France Elsevier.

[BibTeX]
BibTeX: 
@inproceedings{Pak2022,
  author = {Pak, Daniel and Nelles, Oliver and Kraemer, Peter and Kampmann, Geritt},
  title = {A Structural Health Monitoring Approach for Rail Fastening Systems},
  booktitle = {RAIL2022: Fifth International Conference on Railway Technology},
  publisher = {Elsevier},
  year = {2022}
}
Peter TJ and Nelles O (2022), "Density Estimation in the Regressor Space for Linear and Nonlinear System Identification", IFAC-PapersOnLine. Vol. 55(12), pp. 7-12. Elsevier.

[BibTeX]
BibTeX: 
@article{peter2022density,
  author = {Peter, Timm J and Nelles, Oliver},
  title = {Density Estimation in the Regressor Space for Linear and Nonlinear System Identification},
  journal = {IFAC-PapersOnLine},
  publisher = {Elsevier},
  year = {2022},
  volume = {55},
  number = {12},
  pages = {7--12}
}
Schneider F, Schüssler M, Hellmig R and Nelles O (2022), "Constrained Design of Experiments for Data-Driven Models", In PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE. Vol. 1, pp. 193.

[BibTeX]
BibTeX: 
@inproceedings{schneider2022constrained,
  author = {Schneider, Fabian and Schüssler, Max and Hellmig, Ralph and Nelles, Oliver},
  title = {Constrained Design of Experiments for Data-Driven Models},
  booktitle = {PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE},
  year = {2022},
  volume = {1},
  pages = {193}
}
Schüssler M (2022), "Machine learning with nonlinear state space models", In Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau.. Thesis at: Universität Siegen.

[Abstract] [BibTeX] [DOI] [URL]
Abstract: Contemporary automation systems require accurate models for analysis, design, and control. Oftentimes, it is not possible to derive satisfactory models by first principles. This is often the case in process engineering or in mechatronic systems, where the overall process is just too complex, or the development of those first-principle models would just be too expensive. Thus, there is a strong demand for data-driven modeling approaches. Additionally, there are enormous successes in machine learning concerning the generation of models solely by the use of data.
Driven by the need for accurate models as well as the successes and advances in machine learning, a novel class of model structures and associated training algorithms for building data-driven nonlinear dynamic models is developed. The new identification procedure and the resulting model is called local model state space network (LMSSN). It fuses nonlinear state space models with local model networks (LMNs). The LMSSN is designed as a user-friendly and deterministic approach with warm-start initialization (with a linear model), incrementally growing complexity, favorable and robust extrapolation behavior, easy interpretation, and straightforward incorporation possibilities for prior knowledge.
Furthermore, recurrent neural networks (RNNs) and their similarities to nonlinear state space models are elaborated on. Popular RNNs like the long short-term memory (LSTM) and gated recurrent unit (GRU) models are translated into controls perspective and a comprehensive study comparing different RNN structures is carried out.
The overall outstanding performance of the LMSSN is demonstrated on various applications. It is shown that the LMSSN can accurately model a wide variety of processes by consistently computing expressive yet compact models. The LMSSN is benchmarked against state-of-the-art nonlinear system identification algorithms and achieves similar or superior results. The practical usefulness and applicability of LMSSN are strikingly demonstrated on two real-world processes.
BibTeX: 
@phdthesis{ubsi_2253,
  author = {Max Schüssler},
  title = {Machine learning with nonlinear state space models},
  booktitle = {Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau},
  school = {Universität Siegen},
  year = {2022},
  url = {https://dspace.ub.uni-siegen.de/handle/ubsi/2253},
  doi = {10.25819/ubsi/10164}
}
Smits V, Schüssler M, Kampmann G, Illg C, Decker T and Nelles O (2022), "Excitation Signal Design and Modeling Benchmark of NOx Emissions of a Diesel Engine", In 2022 IEEE Conference on Control Technology and Applications (CCTA). , pp. 907-912.

[BibTeX]
BibTeX: 
@inproceedings{smits2022excitation,
  author = {Smits, Volker and Schüssler, Max and Kampmann, Geritt and Illg, Christopher and Decker, Tim and Nelles, Oliver},
  title = {Excitation Signal Design and Modeling Benchmark of NOx Emissions of a Diesel Engine},
  booktitle = {2022 IEEE Conference on Control Technology and Applications (CCTA)},
  year = {2022},
  pages = {907--912}
}
Smits V, Schüssler M, Kampmann G, Illg C, Decker T and Nelles O (2022), "Modeling Benchmark on NOx Emissions of a Diesel Engine excited by an APRBS inside a Non-Convex Hull", In 6th IEEE Conference on Control Technology and Applications.

[BibTeX]
BibTeX: 
@inproceedings{Smits2022,
  author = {Smits, Volker and Schüssler, Max and Kampmann, Geritt and Illg, Christopher and Decker, Tim and Nelles, Oliver},
  title = {Modeling Benchmark on NOx Emissions of a Diesel Engine excited by an APRBS inside a Non-Convex Hull},
  booktitle = {6th IEEE Conference on Control Technology and Applications},
  year = {2022}
}
Voigt T, Schöne M, Kohlhase M, Nelles O and Kuhn M (2022), "Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes", In International Conference on Intelligent Data Engineering and Automated Learning. , pp. 379-390.

[BibTeX]
BibTeX: 
@inproceedings{voigt2022using,
  author = {Voigt, Tim and Schöne, Marvin and Kohlhase, Martin and Nelles, Oliver and Kuhn, Martin},
  title = {Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes},
  booktitle = {International Conference on Intelligent Data Engineering and Automated Learning},
  year = {2022},
  pages = {379--390}
}
Decker T, Patel H, Schüssler M and Nelles O (2021), "Neural Networks with different Dynamics Realizations for the Bouc-Wen Benchmark Problem", In Workshop on Nonlinear System Identification Benchmarks. Eindhoven, Netherlands, April, 2021.

[BibTeX]
BibTeX: 
@inproceedings{Decker2021,
  author = {Decker, Tim and Patel, Hiren and Schüssler, Max and Nelles, Oliver},
  title = {Neural Networks with different Dynamics Realizations for the Bouc-Wen Benchmark Problem},
  booktitle = {Workshop on Nonlinear System Identification Benchmarks},
  year = {2021}
}
Glass L, Hilali W and Nelles O (2021), "Compressing Interpretable Representations of Piecewise Linear Neural Networks using Neuro-Fuzzy Models", In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). , pp. 01-08.

[BibTeX]
BibTeX: 
@inproceedings{glass2021compressing,
  author = {Glass, Leon and Hilali, Wael and Nelles, Oliver},
  title = {Compressing Interpretable Representations of Piecewise Linear Neural Networks using Neuro-Fuzzy Models},
  booktitle = {2021 IEEE Symposium Series on Computational Intelligence (SSCI)},
  year = {2021},
  pages = {01--08}
}
Illg C, Decker T, Thielmann J and Nelles O (2021), "Adaptive Model Predictive Control with Finite Impulse Response Models", In Proceedings - 31th Workshop Computational Intelligence. , pp. 149-168.

[BibTeX]
BibTeX: 
@inproceedings{Illg2021CI,
  author = {Illg, Christopher and Decker, Tim and Thielmann, Jonas and Nelles, Oliver},
  title = {Adaptive Model Predictive Control with Finite Impulse Response Models},
  booktitle = {Proceedings - 31th Workshop Computational Intelligence},
  year = {2021},
  pages = {149--168}
}
Münker T (2021), "Machine learning with finite impulse response models", In Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau.. Thesis at: Universität Siegen.

[Abstract] [BibTeX] [DOI] [URL]
Abstract: Ein genaues und zuverlässiges Modell ist die Grundlage für Analyse, Auslegung und Regelung von modernen Automatisierungssystemen. Es ist häufig zu kompliziert, zu teuer oder zu ungenau, diese Modelle basierend auf physikalischen Gleichungen zu entwickeln. Innerhalb der letzten Jahre hat maschinelles Lernen deutliche Fortschritte bei der Verwendung von Daten zur Erstellung dieser Modelle gemacht. Ein wesentlicher Nachteil dieser Methoden ist, dass Stabilität der identifizierten Modelle nicht garantiert ist. Daher werden in dieser Arbeit Methoden zur Identifikation basierend auf FIR Modellen untersucht. Diese enthalten keine Rückkopplung und garantieren deshalb strukturbedingt Stabilität.
Lineare FIR Systeme bieten signifikante Vorteile aufgrund der einfachen Interpretierbarkeit ihrer Impulsantwort sowie ihrer inherenten Stabilität. In der jüngeren Literatur wurden neue Verfahren zur Vermeidung hoher Parametervarianz durch Wahl einer speziellen Tikhonov-Regularisierung vorgestellt. In dieser Arbeit werden diese Ansätze erweitert, um ein gezieltes Einbringen von Vorwissen zu ermöglichen. Die entwickelte Methode ist sowohl für Gray-Box-Identifikationsverfahren als auch für Ordnungsselektionsverfahren nutzbar. Die Anwendbarkeit wird anhand eines Laborsystems demonstriert.
Lokale Modellnetze ermöglichen die Erweiterung linearer Identifikationsverfahren auf nichtlineare Systeme. Hierbei wird der Regularisierungsmechanismus, der im Rahmen der linearen Verfahren angewendet wird, zur Identifikation der lokalen FIR Modelle genutzt. Besonders für Identifikationsprobleme mit schlechtem Signal-Rausch-Verhältnis zeigt die Methode deutlich bessere Ergebnisse als lokale Modelle mit Rückkopplung des Ausgangs.
Schließlich wird das maschinelle Lernen mit convolutional neural networks untersucht. Das Verhältnis zwischen diesen und blockorientierten nichtlinearen Systemen wird analysiert. Es wird eine spezifische Struktur von tiefen neuronalen Netzen basierend auf FIR Modellen als Netzbestandteilen vorgeschlagen. Bei der Identifikation des neuronalen Netzes wird der gleiche Regularisierungsansatz wie zur Identifikation linearer FIR Modelle verwendet. Es wird gezeigt, dass der Bias-Varianz-Tradeoff dadurch vorteilhaft beeinflust wird und der Ansatz auf einem aktuellen Benchmarkproblem mit den Ergebnissen von Methoden, die dem aktuellen Stand der Forschung entsprechen, verglichen. Hierbei werden vergleichbare Ergebnisse erzielt und zusätzlich glattere interne Impulsantworten und die Stabilität des Systems garantiert.
BibTeX: 
@phdthesis{ubsi_2118,
  author = {Tobias Münker},
  title = {Machine learning with finite impulse response models},
  booktitle = {Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau},
  school = {Universität Siegen},
  year = {2021},
  url = {https://dspace.ub.uni-siegen.de/handle/ubsi/2118},
  doi = {10.25819/ubsi/10041}
}
Nelles D and Nelles O (2021), "Grundlagen der Elektrotechnik zum Selbststudium: Band 1: Gleichstromkreise, 2. Auflage" Berlin, Germany VDE-Verlag.

[BibTeX]
BibTeX: 
@book{Nelles_Nelles_Band1,
  author = {Nelles, Dieter and Nelles, Oliver},
  title = {Grundlagen der Elektrotechnik zum Selbststudium: Band 1: Gleichstromkreise, 2. Auflage},
  publisher = {VDE-Verlag},
  year = {2021}
}
Peter TJ, Schüssler M, Rüschen D and Nelles O (2021), "Identification of a potable water system", at - -Automatisierungstechnik., September, 2021. Vol. 69(10), pp. 870-879.

[BibTeX]
BibTeX: 
@article{peter2021at,
  author = {Peter, Timm J. and Schüssler, Max and Rüschen, Daniel and Nelles, Oliver},
  title = {Identification of a potable water system},
  journal = {at - -Automatisierungstechnik},
  year = {2021},
  volume = {69},
  number = {10},
  pages = {870--879}
}
Schüssler M and Nelles O (2021), "Extrapolation Behavior Comparison of Nonlinear State Space Models", IFAC-PapersOnLine. Vol. 54(7), pp. 487-492.

[Abstract] [BibTeX] [DOI] [URL]
Abstract: The extrapolation behavior and its consequences of two different state space models is studied. More specifically, the extrapolation behavior of the local model state space network (LMSSN) is compared to the polynomial nonlinear state space model (PNLSS). Both approaches represent favorable alternatives in the light of their results on recent benchmark studies. The models are compared with regards to their static extrapolation behavior and their tendency to erratic behavior if test amplitudes grow larger than training amplitudes. It is shown on a Hammerstein and Wiener artificial test process that the PNLSS shows severe shortcomings concerning stability when operated close to or outside the boundaries in which it was trained. The LMSSN instead shows more favorable behavior in extrapolation and does only exhibit minor erratic behavior. If the process is inherently polynomial in some way, the PNLSS outperforms other models in extrapolation, as shown on the Silverbox benchmark test.
BibTeX: 
@article{Schuessler2021b,
  author = {Max Schüssler and Oliver Nelles},
  title = {Extrapolation Behavior Comparison of Nonlinear State Space Models},
  journal = {IFAC-PapersOnLine},
  year = {2021},
  volume = {54},
  number = {7},
  pages = {487-492},
  note = {19th IFAC Symposium on System Identification SYSID 2021},
  url = {https://www.sciencedirect.com/science/article/pii/S2405896321011812},
  doi = {10.1016/j.ifacol.2021.08.407}
}
Schüssler M and Nelles O (2021), "Optimization Approaches for Nonlinear State Space Models", IEEE Control Systems Letters. Vol. 5(4), pp. 1375-1380.

[BibTeX] [DOI] [URL]
BibTeX: 
@article{Schuessler2021,
  author = {Max Schüssler and Oliver Nelles},
  title = {Optimization Approaches for Nonlinear State Space Models},
  journal = {IEEE Control Systems Letters},
  year = {2021},
  volume = {5},
  number = {4},
  pages = {1375-1380},
  url = {https://ieeexplore.ieee.org/document/9257417},
  doi = {10.1109/LCSYS.2020.3037682}
}
Schüssler M and Nelles O (2021), "Optimization Approaches for Nonlinear State Space Models", In 2021 American Control Conference (ACC). , pp. 3933-3938.

[BibTeX] [DOI]
BibTeX: 
@inproceedings{Schuessler2021accNICHTNEHMEN,
  author = {Schüssler, Max and Nelles, Oliver},
  title = {Optimization Approaches for Nonlinear State Space Models},
  booktitle = {2021 American Control Conference (ACC)},
  year = {2021},
  pages = {3933-3938},
  doi = {10.23919/ACC50511.2021.9483428}
}
Smits V and Nelles O (2021), "Genetic optimization of excitation signals for nonlinear dynamic system identification", In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2021. , pp. 138-145.

[Abstract] [BibTeX] [DOI]
Abstract: Two new methods for optimization of passive step-based excitation signals for system identification of nonlinear dynamic processes via a genetic algorithm are introduced - an optimized Amplitude Pseudo Random Binary Signal (APRBSOpt) and a Genetic Optimized Time Amplitude Signal (GOATS). The investigated optimization objectives are the evenly excitation of all frequencies and the uniform data distribution of the space spanned by the system's input and output. The results show that the GOATS optimized according to the uniform data distribution outperform the state-of-the-art excitation signals standard ARPBS (APRBSStd), Optimized Nonlinear Input Signal (OMNIPUS), Chirp and Multi-Sine in the achieved model quality on three artificially created Single-Input Single-Output (SISO) nonlinear dynamic processes. However, the APRBSOpt only exceeds the Chirp, Multi-Sine and APRBSStd in the achievable model quality. Additionally, the GOATS can be used for stiff systems, supplementing existing data and easy incorporation of constraints.
BibTeX: 
@inproceedings{Smits2021a,
  author = {Smits, Volker and Nelles, Oliver},
  title = {Genetic optimization of excitation signals for nonlinear dynamic system identification},
  booktitle = {Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2021},
  year = {2021},
  pages = {138--145},
  doi = {10.5220/0010545501380145}
}
Voigt T, Kohlhase M and Nelles O (2021), "Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge", Mathematics. Vol. 9(19), pp. 2479. Multidisciplinary Digital Publishing Institute.

[BibTeX]
BibTeX: 
@article{voigt2021incremental,
  author = {Voigt, Tim and Kohlhase, Martin and Nelles, Oliver},
  title = {Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge},
  journal = {Mathematics},
  publisher = {Multidisciplinary Digital Publishing Institute},
  year = {2021},
  volume = {9},
  number = {19},
  pages = {2479}
}
Voigt T, SCHONE M, Kohlhase M, Nelles O and Kuhn M (2021), "Space-Filling Designs for Experiments with Assembled Products", In 2021 3rd International Conference on Management Science and Industrial Engineering. , pp. 192-199.

[BibTeX]
BibTeX: 
@inproceedings{voigt2021space,
  author = {Voigt, Tim and SCHONE, MARVIN and Kohlhase, Martin and Nelles, Oliver and Kuhn, Martin},
  title = {Space-Filling Designs for Experiments with Assembled Products},
  booktitle = {2021 3rd International Conference on Management Science and Industrial Engineering},
  year = {2021},
  pages = {192--199}
}
Bamberger K, Carolus T, Belz J and Nelles O (2020), "Development, Validation, and Application of an Optimization Scheme for Impellers of Centrifugal Fans Using Computational Fluid Dynamics-Trained Metamodels", Journal of Turbomachinery. Vol. 142(11) American Society of Mechanical Engineers Digital Collection.

[BibTeX]
BibTeX: 
@article{Nelles_Belz_2020,
  author = {Bamberger, Konrad and Carolus, Thomas and Belz, Julian and Nelles, Oliver},
  title = {Development, Validation, and Application of an Optimization Scheme for Impellers of Centrifugal Fans Using Computational Fluid Dynamics-Trained Metamodels},
  journal = {Journal of Turbomachinery},
  publisher = {American Society of Mechanical Engineers Digital Collection},
  year = {2020},
  volume = {142},
  number = {11}
}
Mayer A (2020), "Analyse gesamtsystemischer Zusammenhänge von hybriden Antriebsstrangkonzepten bezüglich kundenrelevanter Anforderungen", In Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau.. Thesis at: Universität Siegen.

[Abstract] [BibTeX] [DOI] [URL]
Abstract: Eine zentrale Fragestellung im Forschungsbereich der methodischen Gesamtsystemauslegung hybrider Antriebsstränge ist die Beherrschung der Komplexität bezüglich der Varianten- und Anforderungsvielfalt. Die existierenden methodischen Ansätze basieren auf der Identifikation optimaler Systemauslegungen bezüglich vorab definierter Anforderungen an den Antriebsstrang. In dieser Arbeit wird die Möglichkeit zur Substitution bestimmter Leistungsklassen im Antriebsportfolio durch Hybridkonzepte untersucht, deren Systemleistung maßgeblich durch das elektrische Antriebssystem definiert ist. Die signifikante Reduzierung der Verbrennungsmotorleistung im Systemverbund gegenüber konventionellen Antrieben erfordert im Kontext der Kundenrelevanz eine überprüfung der bisherigen Anforderungen an nicht elektrifizierte Antriebsstränge.

Die in dieser Arbeit vorgestellte Methode identifiziert im Gegensatz zu bekannten Untersuchungen erstmals die Bedarfe der leistungsseitigen und energetischen Auslegung des elektrischen Antriebssystems sowie des elektrischen Energiespeichers, welche sich durch die Erfüllung bisheriger Antriebsstranganforderungen ergeben. Die zusätzliche Beeinflussung des Fahrkomforts spannt ein Spannungsfeld aus Antriebseffizienz, Leistungsfähigkeit und Fahrkomfort auf, in welchem die für eine Entscheidungsfindung relevanten gesamtsystemischen Zusammenhänge analysiert werden. Hierzu werden systemische Stellhebel wie zum Beispiel eine Reduzierung der Höchstgeschwindigkeit identifiziert und deren Einfluss auf eine kundenrelevante Auslegung des Hybridkonzepts bewertet. Visualisierungstechniken aus dem Bereich des maschinellen Lernens stellen im Verlauf dieser Arbeit eine transparente und nachvollziehbare Grundlage für einen fundierten Konzeptentscheid bereit. Des Weiteren werden bekannte optimierungsbasierte Betriebsstrategieansätze um Methoden der Fuzzy-Logik hinsichtlich der Lösung der Problemstellung erweitert. Letzteres wird insbesondere durch die Berücksichtigung zeitfensterbasierter Analysemethoden zur vollständigen Charakterisierung der Leistungsanforderungen an die elektrischen Komponenten ermöglicht.
BibTeX: 
@phdthesis{ubsi_1960,
  author = {André Mayer},
  title = {Analyse gesamtsystemischer Zusammenhänge von hybriden Antriebsstrangkonzepten bezüglich kundenrelevanter Anforderungen},
  booktitle = {Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau},
  school = {Universität Siegen},
  year = {2020},
  url = {https://dspace.ub.uni-siegen.de/handle/ubsi/1960},
  doi = {10.25819/ubsi/9974}
}
Mayer A, Eisemann E, Pauli F and Nelles O (2020), "Synthesis of Representative Driving Cycles with Respect to Time-Dependent Load Conditions", In 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS). , pp. 176-183.

[BibTeX]
BibTeX: 
@inproceedings{mayer2020synthesis,
  author = {Mayer, Andre and Eisemann, Evelyn and Pauli, Felix and Nelles, Oliver},
  title = {Synthesis of Representative Driving Cycles with Respect to Time-Dependent Load Conditions},
  booktitle = {2020 Forum on Integrated and Sustainable Transportation Systems (FISTS)},
  year = {2020},
  pages = {176--183}
}
Münker T, Kampmann G, Schüssler M and Nelles O (2020), "System Identification and Control of a Polymer Reactor", In IFAC World Congress. Berlin, Germany

[BibTeX]
BibTeX: 
@inproceedings{SysIdPolyReacIFAC2020,
  author = {Münker, Tobias and Kampmann, Geritt and Schüssler, Max and Nelles, Oliver},
  title = {System Identification and Control of a Polymer Reactor},
  booktitle = {IFAC World Congress},
  year = {2020}
}
Nelles O (2020), "Nonlinear System Identification (2nd Edition) -- From Classical Approaches to Neural Networks, Fuzzy Systems, and Gaussian Processes" Berlin, Germany Springer.

[BibTeX] [URL]
BibTeX: 
@book{Nelles_Book2,
  author = {Nelles, Oliver},
  title = {Nonlinear System Identification (2nd Edition) -- From Classical Approaches to Neural Networks, Fuzzy Systems, and Gaussian Processes},
  publisher = {Springer},
  year = {2020},
  url = {https://doi.org/10.1007/978-3-030-47439-3}
}
Peter TJ and Nelles O (2020), "A new criterion for Latin hypercube optimization", In Proceedings - 30th Workshop Computational Intelligence. Berlin, Germany, November, 2020. , pp. 229-245.

[BibTeX]
BibTeX: 
@inproceedings{Peter2020CI,
  author = {Peter, Timm J. and Nelles, Oliver},
  title = {A new criterion for Latin hypercube optimization},
  booktitle = {Proceedings - 30th Workshop Computational Intelligence},
  year = {2020},
  pages = {229-245}
}
Schüssler M and Nelles O (2020), "Optimization Approaches for Nonlinear State Space Models", IEEE Control Systems Letters. Vol. 5(4), pp. 1375-1380. IEEE.

[BibTeX]
BibTeX: 
@article{schussler2020optimization,
  author = {Schüssler, Max and Nelles, Oliver},
  title = {Optimization Approaches for Nonlinear State Space Models},
  journal = {IEEE Control Systems Letters},
  publisher = {IEEE},
  year = {2020},
  volume = {5},
  number = {4},
  pages = {1375--1380}
}
Voigt T, Kohlhase M and Nelles O (2020), "Incremental Latin Hypercube Additive Design for LOLIMOT", In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Vol. 1, pp. 1602-1609.

[BibTeX]
BibTeX: 
@inproceedings{voigt2020incremental,
  author = {Voigt, Tim and Kohlhase, Martin and Nelles, Oliver},
  title = {Incremental Latin Hypercube Additive Design for LOLIMOT},
  booktitle = {2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
  year = {2020},
  volume = {1},
  pages = {1602--1609}
}
Gletter C, Mayer A, Kallo J, Winsel T and Nelles O (2019), "A Novel Approach for Development of Neural Network based Electrical Machine Models for HEV System-level Design Optimization", In 5th International Conference on Vehicle Technology and Intelligent Transport Systems. Crete, Greece, May, 2019.

[BibTeX]
BibTeX: 
@inproceedings{Mayer:2019,
  author = {Gletter, Christian and Mayer, Andre and Kallo, Josef and Winsel, Thomas and Nelles, Oliver},
  title = {A Novel Approach for Development of Neural Network based Electrical Machine Models for HEV System-level Design Optimization},
  booktitle = {5th International Conference on Vehicle Technology and Intelligent Transport Systems},
  year = {2019}
}
Heinz TO, Ebert T and Nelles O (2019), "Pole Determination for Takagi-Sugeno Fuzzy Laguerre Models", In International Conference on Fuzzy Systems: FUZZ-IEEE. New Orleans, Lousiana, USA, June, 2019.

[BibTeX]
BibTeX: 
@inproceedings{Heinz2019PoleDet,
  author = {Heinz, Tim Oliver and Ebert, Tobias and Nelles, Oliver},
  title = {Pole Determination for Takagi-Sugeno Fuzzy Laguerre Models},
  booktitle = {International Conference on Fuzzy Systems: FUZZ-IEEE},
  year = {2019}
}
Heinz TO and Nelles O (2019), "Data Distribution Assessment and Optimal Splitting of Data Sets", In 23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI. Orlando, Florida, USA, July, 2019. Vol. 3, pp. 103-108.

[BibTeX]
BibTeX: 
@inproceedings{Heinz2019WMSCI,
  author = {Heinz, Tim Oliver and Nelles, Oliver},
  editor = {Nagib Callaos and Elina Gaile-Sarkane and Bruce Peoples and Belkis Sanchez and Michael Savoie},
  title = {Data Distribution Assessment and Optimal Splitting of Data Sets},
  booktitle = {23rd World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI},
  year = {2019},
  volume = {3},
  pages = {103--108}
}
Hoffmann F, Bertram T, Reischl M and Nelles O (2019), "Benchmarking in classification and regression", WIREs Data Mining and Knowledge Discovery. Wiley.

[BibTeX]
BibTeX: 
@article{nelles2019benchmarks,
  author = {Hoffmann, Frank and Bertram, Torsten and Reischl, Markus and Nelles, Oliver},
  title = {Benchmarking in classification and regression},
  journal = {WIREs Data Mining and Knowledge Discovery},
  publisher = {Wiley},
  year = {2019}
}
Mayer A, Gletter C, Nelles O, Kallo J and Winsel T (2019), "Two-Dimensional ECMS for System Analysis of Hybrid Concepts featuring Two Electric Traction Motors", In 2019 International Symposium on Systems Engineering (ISSE). , pp. 1-8.

[BibTeX]
BibTeX: 
@inproceedings{Mayer2019two,
  author = {Mayer, Andre and Gletter, Christian and Nelles, Oliver and Kallo, Josef and Winsel, Thomas},
  title = {Two-Dimensional ECMS for System Analysis of Hybrid Concepts featuring Two Electric Traction Motors},
  booktitle = {2019 International Symposium on Systems Engineering (ISSE)},
  year = {2019},
  pages = {1--8}
}
Peter T, Kekec D and Nelles O (2019), "Distribution-Based Splitting of Datasets", In Proceedings, 29th Workshop on Computational Intelligence. Dortmund, Germany, November, 2019. , pp. 119–134.

[BibTeX]
BibTeX: 
@inproceedings{Peter2019CI,
  author = {Peter, Timm and Kekec, Dennis and Nelles, Oliver},
  title = {Distribution-Based Splitting of Datasets},
  booktitle = {Proceedings, 29th Workshop on Computational Intelligence},
  year = {2019},
  pages = {119–134}
}
Peter TJ and Nelles O (2019), "Fast and simple dataset selection for machine learning", at -- Automatisierungstechnik., September, 2019. Vol. 67(10), pp. 833-842.

[BibTeX]
BibTeX: 
@article{Peter2019at,
  author = {Peter, Timm J. and Nelles, Oliver},
  title = {Fast and simple dataset selection for machine learning},
  journal = {at -- Automatisierungstechnik},
  year = {2019},
  volume = {67},
  number = {10},
  pages = {833--842}
}
Schillinger M (2019), "Safe and dynamic design of experiments", In Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau.. Thesis at: Universität Siegen. Siegen Arbeitsgruppe Mess- und Regelungstechnik, Department Maschinenbau.

[Abstract] [BibTeX] [DOI] [URL]
Abstract: In the calibration of modern combustion engines, stationary model-based approaches are common. For future developments, the use of dynamic data-based modeling is an important and required step to further increase the efficiency and quality of the calibration process. In order to achieve high modeling quality, these models require informative measurement data. This necessitates a transient variation of the input signals during the measurement process. At the same time the safety of the system under test needs to be ensured during the measurements by supervising critical output signals.
This thesis covers different methods to tackle this task, namely for stationary and dynamic design of experiments. Therefore, two strategies are presented and analyzed: on the one hand the use of an offline generated design of experiment, on the other hand the use of active learning. The first strategy is threefold. It starts with the identification of the stationary safe system boundary. Thereafter a dynamic design of experiment is created within the stationary safe boundary. Finally, a dynamic measurement is pursued, while the system under test is safeguarded by a newly introduced supervising controller. The second strategy uses a dynamic safe active learning approach. Thereby, the dynamic model is not anymore learned offline, after the whole measurement was completed, but online, in parallel to the measurement process. Instead of a predefined design of experiment, the queried trajectories are optimized iteratively based on the learned model. The optimization also considers dynamic safety constraints of the system under test.
Special emphasis is put on the application of these strategies to real-world measurements in the combustion engine domain. The various design of experiments, measurement, and active learning algorithms are compared and their specific advantages and disadvantages are discussed.
BibTeX: 
@phdthesis{ubsi_1476,
  author = {Mark Schillinger},
  title = {Safe and dynamic design of experiments},
  booktitle = {Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau},
  publisher = {Arbeitsgruppe Mess- und Regelungstechnik, Department Maschinenbau},
  school = {Universität Siegen},
  year = {2019},
  url = {https://dspace.ub.uni-siegen.de/handle/ubsi/1476},
  doi = {10.25819/ubsi/36}
}
Schüssler M, Heinz TO and Nelles O (2019), "Local Model State Space Networks for Hysteresis Identification", In Nonlinear System Identification Benchmarks Workshop. Eindhoven, Netherlands, April, 2019.

[BibTeX]
BibTeX: 
@inproceedings{SchuesslerNLSB2019,
  author = {Schüssler, Max and Heinz, Tim O. and Nelles, Oliver},
  title = {Local Model State Space Networks for Hysteresis Identification},
  booktitle = {Nonlinear System Identification Benchmarks Workshop},
  year = {2019}
}
Schüssler M, Münker T and Nelles O (2019), "Deep Recurrent Neural Networks for Nonlinear System Identification", In IEEE Symposium Series on Computational Intelligence (SSCI). Xiamen, China, Dec., 2019.

[BibTeX]
BibTeX: 
@inproceedings{SchuesslerSSCI2019,
  author = {Schüssler, Max and Münker, Tobias and Nelles, Oliver},
  title = {Deep Recurrent Neural Networks for Nonlinear System Identification},
  booktitle = {IEEE Symposium Series on Computational Intelligence (SSCI)},
  year = {2019}
}
Schüssler M, Münker T and Nelles O (2019), "Local Model Networks for the Identification of Nonlinear State Space Models", In IEEE Conference on Decision and Control (CDC). Nice, France, Dec, 2019.

[BibTeX]
BibTeX: 
@inproceedings{SchuesslerCDC2019,
  author = {Schüssler, Max and Münker, Tobias and Nelles, Oliver},
  title = {Local Model Networks for the Identification of Nonlinear State Space Models},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = {2019}
}
Schüssler M and Nelles O (2019), "Comparison of Extrapolation Behavior between Different State Space Models", In Proceedings -- 29th Workshop Computational Intelligence. Dortmund, Germany, Nov., 2019.

[BibTeX]
BibTeX: 
@inproceedings{SchuesslerCI2019,
  author = {Schüssler, Max and Nelles, Oliver},
  title = {Comparison of Extrapolation Behavior between Different State Space Models},
  booktitle = {Proceedings -- 29th Workshop Computational Intelligence},
  year = {2019}
}
Belz J (2018), "Fighting the curse of dimensionality with local model networks", In Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau.. Thesis at: Universität Siegen.

[Abstract] [BibTeX] [URL]
Abstract: Das Themengebiet der vorliegenden Arbeit ist die datenbasierte Modellbildung (Identifikation). Das Hauptaugenmerk liegt auf Verfahren der Eingangsselektion und der Versuchsplanung, die dazu dienen, Effekte des Fluchs der Dimensionlität abzuschwächen, indem sie spezielle Eigenschaften lokaler Modellnetze ausnutzen.
Der Modelltyp der lokalen Modellnetze ermöglicht die Aufteilung des Eingangsraums in die sogenannten Regelprämissen und -konklusionen. In dieser Arbeit entwickelte Verfahren im Bereich der Eingangsselektion nutzen diese einzigartige Eigenschaft lokaler Modellnetze aus. Potentielle Eingangsgrößen können individuell den Regelprämissen oder -konklusionen zugeteilt werden. Es wird gezeigt, dass sich ein besserer Bias/Varianz-Kompromiss durch die Ausnutzung dieser individuellen Zuordnung finden lässt. Des Weiteren eröffnen sich zusätzliche Interpretationsmöglichkeiten, da einer der beiden Eingangsräume direkt mit den Modellnichtlinearitäten verknüpft ist.
Der Beitrag der vorliegenden Arbeit im Bereich der Versuchsplanung betrifft sowohl aktive als auch passive Lernverfahren. Im Rahmen der passiven Lernverfahren werden Empfehlungen auf die folgenden drei Fragestellungen gegeben. Sollten (alle) Ecken im Versuchsraum vermessen werden? Welcher raumfüllende Versuchsplan führt voraussichtlich zur höchsten Modellgüte? Welche Reihenfolge sollte beim Vermessen eines Versuchsplans eingehalten werden? Der Beitrag im Bereich aktiver Lernverfahren umfasst eine Erweiterung des bereits bestehenden Algorithmus „Hierarchical Local Model Tree for Design of Experiments“ (HilomotDoE). Drei Schlüsselaspekte der experimentellen Modellbildung werden dabei adressiert: (I) Optimalität, (II) geringer Bias- und (III) Varianzfehler.
Die entwickelten Methoden zeigen anhand ausgewählter Anwendungsbeispiele ihre Stärken. Dazu zählen: Die Vorhersage des Verbrauchs von Kraftfahrzeugen, die Modellierung des Luftmassenstroms für Verbrennungsmotoren, die Metamodellierung für Ventilatoren und die Erzeugung eines dynamischen Modells zur Regelung eines Heizungs-, Lüftungs- und Klimatisierungssystems.
BibTeX: 
@phdthesis{ubsi_1452,
  author = {Julian Belz},
  title = {Fighting the curse of dimensionality with local model networks},
  booktitle = {Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau},
  school = {Universität Siegen},
  year = {2018},
  url = {https://dspace.ub.uni-siegen.de/handle/ubsi/1452}
}
Belz J, Bamberger K, Nelles O and Carolus T (2018), "Goal-Oriented Active Learning with Local Model Networks", International Journal of Computational Methods and Experimental Measurements. Vol. 6(4), pp. 785-796.

[BibTeX]
BibTeX: 
@article{Belz:2018aa,
  author = {Belz, Julian and Bamberger, Konrad and Nelles, Oliver and Carolus, Thomas},
  title = {Goal-Oriented Active Learning with Local Model Networks},
  journal = {International Journal of Computational Methods and Experimental Measurements},
  year = {2018},
  volume = {6},
  number = {4},
  pages = {785--796}
}
Decker T and Nelles O (2018), "Local Gaussian Process Model Networks", In Proceedings - 28th Workshop Computational Intelligence. Dortmund, Germany, November, 2018. , pp. 235-256.

[BibTeX]
BibTeX: 
@inproceedings{Decker:2018,
  author = {Decker, Tim and Nelles, Oliver},
  title = {Local Gaussian Process Model Networks},
  booktitle = {Proceedings - 28th Workshop Computational Intelligence},
  year = {2018},
  pages = {235--256}
}
Heinz TO, Münker T and Nelles O (2018), "Identification of Hysteric Behavior Using NOBF Local Model Networks", In Nonlinear System Identification Benchmarks Workshop.

[BibTeX]
BibTeX: 
@inproceedings{heinz2018identification,
  author = {Heinz, Tim O. and Münker, Tobias and Nelles, Oliver},
  title = {Identification of Hysteric Behavior Using NOBF Local Model Networks},
  booktitle = {Nonlinear System Identification Benchmarks Workshop},
  year = {2018}
}
Heinz TO and Nelles O (2018), "Excitation signal design for nonlinear dynamic systems with multiple inputs - A data distribution approach", at -- Automatisierungstechnik., September, 2018. Vol. 66(9), pp. 714-724.

[BibTeX]
BibTeX: 
@article{heinz2018ExcitationSignalAT,
  author = {Heinz, Tim O. and Nelles, Oliver},
  title = {Excitation signal design for nonlinear dynamic systems with multiple inputs - A data distribution approach},
  journal = {at -- Automatisierungstechnik},
  year = {2018},
  volume = {66},
  number = {9},
  pages = {714--724}
}
Münker T, Belz J and Nelles O (2018), "Improved Incorporation of Prior Knowledge for Regularized FIR Model Identification", In 2018 Annual American Control Conference (ACC). Milwaukee, WI , pp. 1090-1095.

[BibTeX]
BibTeX: 
@inproceedings{muenker2018_acc,
  author = {Münker, Tobias and Belz, Julian and Nelles, Oliver},
  title = {Improved Incorporation of Prior Knowledge for Regularized FIR Model Identification},
  booktitle = {2018 Annual American Control Conference (ACC)},
  year = {2018},
  pages = {1090--1095}
}
Münker T and Nelles O (2018), "Nonlinear system identification with regularized local FIR model networks", Engineering Applications of Artificial Intelligence. Vol. 67, pp. 345-354. Pergamon.

[BibTeX]
BibTeX: 
@article{munker2018nonlinear,
  author = {Münker, Tobias and Nelles, Oliver},
  title = {Nonlinear system identification with regularized local FIR model networks},
  journal = {Engineering Applications of Artificial Intelligence},
  publisher = {Pergamon},
  year = {2018},
  volume = {67},
  pages = {345--354}
}
Münker T and Nelles O (2018), "Sensitive order selection via identification of regularized FIR models with impulse response preservation", In 2018 IFAC Symposium on System Identification (SYSID). Stockholm, Sweden Vol. 51, pp. 197-202. Elsevier.

[BibTeX]
BibTeX: 
@inproceedings{munker2018sensitive,
  author = {Münker, Tobias and Nelles, Oliver},
  title = {Sensitive order selection via identification of regularized FIR models with impulse response preservation},
  booktitle = {2018 IFAC Symposium on System Identification (SYSID)},
  publisher = {Elsevier},
  year = {2018},
  volume = {51},
  pages = {197--202}
}
Münker T, Peter T and Nelles O (2018), "Gray-Box Identification with Regularized FIR Models", at -- Automatisierungstechnik., September, 2018. Vol. 66(9), pp. 704-713.

[BibTeX]
BibTeX: 
@article{Muenker:at,
  author = {Münker, Tobias and Peter, Timm and Nelles, Oliver},
  title = {Gray-Box Identification with Regularized FIR Models},
  journal = {at -- Automatisierungstechnik},
  year = {2018},
  volume = {66},
  number = {9},
  pages = {704--713}
}
Peter T and Nelles O (2018), "Gray-Box Regularized FIR Modeling for Linear System Identification", In Proceedings, 28th Workshop on Computational Intelligence. Dortmund, Germany, November, 2018. , pp. 113-128.

[BibTeX]
BibTeX: 
@inproceedings{Peter:2018,
  author = {Peter, Timm and Nelles, Oliver},
  title = {Gray-Box Regularized FIR Modeling for Linear System Identification},
  booktitle = {Proceedings, 28th Workshop on Computational Intelligence},
  year = {2018},
  pages = {113--128}
}
Steffen L and Nelles O (2018), "Editorial Isermann's 80. Birthday", at -- Automatisierungstechnik., September, 2018. Vol. 66(9), pp. 688-689.

[BibTeX]
BibTeX: 
@article{Leo_Nelles,
  author = {Leonhardt Steffen and Nelles, Oliver},
  title = {Editorial Isermann's 80. Birthday},
  journal = {at -- Automatisierungstechnik},
  year = {2018},
  volume = {66},
  number = {9},
  pages = {688--689}
}
Belz J, Münker T, Heinz TO, Kampmann G and Nelles O (2017), "Automatic Modeling with Local Model Networks for Benchmark Processes", In Proceedings of the 20th IFAC World Congress. Toulouse, France, July, 2017. , pp. 472-477.

[BibTeX]
BibTeX: 
@conference{Belz:2017ab,
  author = {Belz, Julian and Münker, Tobias and Heinz, Tim O. and Kampmann, Geritt and Nelles, Oliver},
  title = {Automatic Modeling with Local Model Networks for Benchmark Processes},
  booktitle = {Proceedings of the 20th IFAC World Congress},
  year = {2017},
  pages = {472--477}
}
Belz J and Nelles O (2017), "Normalized L1 Regularization for Axis-Oblique Tree Construction Algorithms", In IEEE Symposium Series on Computational Intelligence (SSCI). Hawaii, USA , pp. 1-7.

[BibTeX]
BibTeX: 
@inproceedings{Belz:2017ad,
  author = {Belz, Julian and Nelles, Oliver},
  title = {Normalized L1 Regularization for Axis-Oblique Tree Construction Algorithms},
  booktitle = {IEEE Symposium Series on Computational Intelligence (SSCI)},
  year = {2017},
  pages = {1--7}
}
Belz J and Nelles O (2017), "Order of Experimentation and Advisability of Corner Measurements", at -- Automatisierungstechnik., March, 2017. Vol. 65(3), pp. 156-166.

[BibTeX]
BibTeX: 
@article{Belz:2017ac,
  author = {Belz, Julian and Nelles, Oliver},
  title = {Order of Experimentation and Advisability of Corner Measurements},
  journal = {at -- Automatisierungstechnik},
  year = {2017},
  volume = {65},
  number = {3},
  pages = {156--166}
}
Belz J, Nelles O, Schwingshackl D, Rehrl J and Horn M (2017), "Order Determination and Input Selection with Local Model Networks", In Proceedings of the 20th IFAC World Congress. Toulouse, France , pp. 7588-7593.

[BibTeX]
BibTeX: 
@conference{Belz:2017aa,
  author = {Belz, Julian and Nelles, Oliver and Schwingshackl, Daniel and Rehrl, Jakob and Horn, Martin},
  title = {Order Determination and Input Selection with Local Model Networks},
  booktitle = {Proceedings of the 20th IFAC World Congress},
  year = {2017},
  pages = {7588--7593}
}
Bergmann L, Rüschen D, Amacher R, Nelles O, Leonhardt S and Walter M (2017), "Arbeitspunktabhängige Durchflussregelung einer rotatorischen Blutpumpe", Forschung im Ingenieurwesen., Oct, 2017.

[BibTeX] [DOI] [URL]
BibTeX: 
@article{Bergmann2017,
  author = {Bergmann, Lukas and Rüschen, Daniel and Amacher, Raffael and Nelles, Oliver and Leonhardt, Steffen and Walter, Marian},
  title = {Arbeitspunktabhängige Durchflussregelung einer rotatorischen Blutpumpe},
  journal = {Forschung im Ingenieurwesen},
  year = {2017},
  url = {https://doi.org/10.1007/s10010-017-0254-9},
  doi = {10.1007/s10010-017-0254-9}
}
Heinz TO, Belz J and Nelles O (2017), "Design of Experiments -- Combining Linear and Nonlinear Inputs", In Proceedings 27. Workshop Computational Intelligence., November, 2017. , pp. 211-226. KIT Scientific Publishing.

[BibTeX]
BibTeX: 
@conference{heinz2017xzDoE,
  author = {Heinz, Tim O. and Belz, Julian and Nelles, Oliver},
  editor = {Hoffman, Frank and Hüllermeier, Eike and Mikut, Ralf},
  title = {Design of Experiments -- Combining Linear and Nonlinear Inputs},
  booktitle = {Proceedings 27. Workshop Computational Intelligence},
  publisher = {KIT Scientific Publishing},
  year = {2017},
  pages = {211--226}
}
Heinz TO and Nelles O (2017), "Iterative Excitation Signal Design for Nonlinear Dynamic Black-Box Models", Procedia Computer Science. , pp. 1054-1061.

[BibTeX]
BibTeX: 
@article{heinz2017omnipusKES,
  author = {Heinz, Tim O. and Nelles, Oliver},
  title = {Iterative Excitation Signal Design for Nonlinear Dynamic Black-Box Models},
  journal = {Procedia Computer Science},
  year = {2017},
  pages = {1054--1061}
}
Heinz TO, Schillinger M, Hartmann B and Nelles O (2017), "Excitation Signal Design for Nonlinear Dynamic Systems", In International Calibration Conference - Automotive Data Analytics, Methods, DoE., May, 2017. , pp. 191-208. expertVerlag.

[BibTeX]
BibTeX: 
@conference{Heinz2017OMNIPUSiav,
  author = {Heinz, Tim O. and Schillinger, Mark and Hartmann, Benjamin and Nelles, Oliver},
  editor = {Röpke, Karsten and Gühmann, Clemens},
  title = {Excitation Signal Design for Nonlinear Dynamic Systems},
  booktitle = {International Calibration Conference - Automotive Data Analytics, Methods, DoE},
  publisher = {expertVerlag},
  year = {2017},
  pages = {191--208}
}
Jung H, Münker T, Kampmann G, Nelles O and Fritzen C-P (2017), "A probabilistic approach for fault detection of railway suspensions", In International Workshop on Structural Health Monitoring. Stanford, CA, September, 2017.

[BibTeX]
BibTeX: 
@inproceedings{Jung2017,
  author = {Jung, Henning and Münker, Tobias and Kampmann, Geritt and Nelles, Oliver and Fritzen, Claus-Peter},
  title = {A probabilistic approach for fault detection of railway suspensions},
  booktitle = {International Workshop on Structural Health Monitoring},
  year = {2017}
}
Münker T, Heinz TO and Nelles O (2017), "Hierarchical model predictive control for Local Model Networks", In American Control Conference (ACC), 2017. , pp. 5026-5031.

[BibTeX]
BibTeX: 
@inproceedings{munker2017hierarchical,
  author = {Münker, Tobias and Heinz, Tim O. and Nelles, Oliver},
  title = {Hierarchical model predictive control for Local Model Networks},
  booktitle = {American Control Conference (ACC), 2017},
  year = {2017},
  pages = {5026--5031}
}
Münker T, Heinz TO and Nelles O (2017), "Regularized Local FIR Model Networks for a Bouc-Wen and a Wiener-Hammerstein System", In Workshop on Nonlinear System Identification Benchmarks., April, 2017. , pp. 33.

[BibTeX]
BibTeX: 
@conference{muenker2017BenchmarkBrussels,
  author = {Münker, Tobias and Heinz, Tim O. and Nelles, Oliver},
  title = {Regularized Local FIR Model Networks for a Bouc-Wen and a Wiener-Hammerstein System},
  booktitle = {Workshop on Nonlinear System Identification Benchmarks},
  year = {2017},
  pages = {33}
}
Rothe S, Wirtz SF, Kampmann G, Nelles O and Söffker D (2017), "Ensure the reliability of damage detection in composites by fusion of differently classified Acoustic Emission measurements", In International Workshop on Structural Health Monitoring. Stanford, USA, September, 2017. , pp. 1380-1387.

[BibTeX]
BibTeX: 
@inproceedings{Rothe:2017vf,
  author = {Rothe, Sandra and Wirtz, Sebastian F. and Kampmann, Geritt and Nelles, Oliver and Söffker, Dirk},
  title = {Ensure the reliability of damage detection in composites by fusion of differently classified Acoustic Emission measurements},
  booktitle = {International Workshop on Structural Health Monitoring},
  year = {2017},
  pages = {1380--1387}
}
Schillinger M, Hartmann B, Skalecki P, Meister M, Nguyen-Tuong D and Nelles O (2017), "Safe Active Learning and Safe Bayesian Optimization for Tuning a PI-Controller", In IFAC World Congress. , pp. 5967-5972.

[BibTeX]
BibTeX: 
@inproceedings{schillinger17,
  author = {Mark Schillinger and Benjamin Hartmann and Patric Skalecki and Mona Meister and Duy Nguyen-Tuong and Oliver Nelles},
  title = {Safe Active Learning and Safe Bayesian Optimization for Tuning a PI-Controller},
  booktitle = {IFAC World Congress},
  year = {2017},
  pages = {5967--5972}
}
Schillinger M, Mourat K, Hartmann B, Eckstein C, Jacob M, Kloppenburg E and Nelles O (2017), "Modern Online DoE Methods for Calibration -- Constraint Modeling, Continuous Boundary Estimation, and Active Learning", In Automotive Data Analytics, Methods, DoE. Expert Verlag.

[BibTeX]
BibTeX: 
@inproceedings{Schillinger2017a,
  author = {Schillinger, Mark and Mourat, Kadir and Hartmann, Benjamin and Eckstein, Carola and Jacob, Martin and Kloppenburg, Ernst and Nelles, Oliver},
  editor = {Röpke, Karsten and Gühmann, Clemens},
  title = {Modern Online DoE Methods for Calibration -- Constraint Modeling, Continuous Boundary Estimation, and Active Learning},
  booktitle = {Automotive Data Analytics, Methods, DoE},
  publisher = {Expert Verlag},
  year = {2017}
}
Schwingshackl D, Rehrl J, Horn M, Belz J and Nelles O (2017), "Model Extension for Model Based MIMO Control in HVAC Systems", Journal of Building Engineering. Vol. 11, pp. 224-229.

[BibTeX]
BibTeX: 
@article{Schwingshackl:2017aa,
  author = {Schwingshackl, Daniel and Rehrl, Jakob and Horn, Martin and Belz, Julian and Nelles, Oliver},
  title = {Model Extension for Model Based MIMO Control in HVAC Systems},
  journal = {Journal of Building Engineering},
  year = {2017},
  volume = {11},
  pages = {224--229}
}
Bamberger K, Belz J, Carolus T and Nelles O (2016), "Aerodynamic Optimization of Centrifugal Fans Using CFD-Trained Meta-Models", In 16th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery (ISROMAC). Hawaii, USA, April, 2016.

[BibTeX]
BibTeX: 
@inproceedings{Bamberger:2016aa,
  author = {Bamberger, Konrad and Belz, Julian and Carolus, Thomas and Nelles, Oliver},
  title = {Aerodynamic Optimization of Centrifugal Fans Using CFD-Trained Meta-Models},
  booktitle = {16th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery (ISROMAC)},
  year = {2016}
}
Belz J, Bamberger K and Nelles O (2016), "Order of Experimentation for Metamodeling Tasks", In International Joint Conference on Neural Networks (IJCNN). Vancouver, Canada, July, 2016. , pp. 4843-4849.

[BibTeX]
BibTeX: 
@inproceedings{Belz:2016aa,
  author = {Belz, Julian and Bamberger, Konrad and Nelles, Oliver},
  title = {Order of Experimentation for Metamodeling Tasks},
  booktitle = {International Joint Conference on Neural Networks (IJCNN)},
  year = {2016},
  pages = {4843--4849}
}
Belz J, Heinz TO and Nelles O (2016), "Automated Order Determination Strategies for Nonlinear Dynamic Models", In IEEE Symposium Series on Computational Intelligence (SSCI). Athens, Greece, Dec., 2016. , pp. 1-8.

[BibTeX]
BibTeX: 
@inproceedings{Belz:2016ac,
  author = {Belz, Julian and Heinz, Tim O. and Nelles, Oliver},
  title = {Automated Order Determination Strategies for Nonlinear Dynamic Models},
  booktitle = {IEEE Symposium Series on Computational Intelligence (SSCI)},
  year = {2016},
  pages = {1--8}
}
Heinz TO and Nelles O (2016), "Efficient Pole Optimization of Nonlinear Laguerre Filter Models", In Computational Intelligence, 2015 IEEE Symposium Series on. , pp. 1-7.

[BibTeX]
BibTeX: 
@conference{Heinz2016Pole,
  author = {Heinz, Tim O. and Nelles, Oliver},
  title = {Efficient Pole Optimization of Nonlinear Laguerre Filter Models},
  booktitle = {Computational Intelligence, 2015 IEEE Symposium Series on},
  year = {2016},
  pages = {1--7}
}
Heinz TO and Nelles O (2016), "Vergleich von Anregungssignalen für Nichtlineare Identifikationsaufgaben", In Proceedings 26. Workshop Computational Intelligence., November, 2016. , pp. 139-158. KIT Scientific Publishing.

[BibTeX]
BibTeX: 
@conference{heinz2016sinAPRBS,
  author = {Heinz, Tim O. and Nelles, Oliver},
  editor = {Hoffman, Frank and Hüllermeier, Eike and Mikut, Ralf},
  title = {Vergleich von Anregungssignalen für Nichtlineare Identifikationsaufgaben},
  booktitle = {Proceedings 26. Workshop Computational Intelligence},
  publisher = {KIT Scientific Publishing},
  year = {2016},
  pages = {139--158}
}
Jung H, Münker T, Kampmann G, Rave K, Fritzen C-P and Nelles O (2016), "A Novel Full Scale Roller Rig Test Bench for SHM Concepts of Railway Vehicles", In 8th European Workshop On Structural Health Monitoring (EWSHM). , pp. 5-8.

[BibTeX]
BibTeX: 
@inproceedings{Jung:2016,
  author = {Jung, Henning and Münker, Tobias and Kampmann, Geritt and Rave, Kevin and Fritzen, Claus-P. and Nelles, Oliver},
  title = {A Novel Full Scale Roller Rig Test Bench for SHM Concepts of Railway Vehicles},
  booktitle = {8th European Workshop On Structural Health Monitoring (EWSHM)},
  year = {2016},
  pages = {5--8}
}
Münker T and Nelles O (2016), "Local model network with regularized MISO finite impulse response models", In Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on. , pp. 1-8.

[BibTeX]
BibTeX: 
@inproceedings{munker2016local,
  author = {Münker, Tobias and Nelles, Oliver},
  title = {Local model network with regularized MISO finite impulse response models},
  booktitle = {Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on},
  year = {2016},
  pages = {1--8}
}
Münker T and Nelles O (2016), "Nonlinear System Identification with Regularized Local FIR Model Networks", In 4th IFAC International Conference on Intelligent Control and Automation Science. Reims, France , pp. 61-66.

[BibTeX]
BibTeX: 
@inproceedings{Munker:2016,
  author = {Münker, Tobias and Nelles, Oliver},
  title = {Nonlinear System Identification with Regularized Local FIR Model Networks},
  booktitle = {4th IFAC International Conference on Intelligent Control and Automation Science},
  year = {2016},
  pages = {61--66}
}
Schillinger M, Ortelt B, Hartmann B, Schreiter J, Meister M, Nguyen-Tuong D and Nelles O (2016), "Safe Active Learning of a High Pressure Fuel Supply System", In 9th EUROSIM Congress on Modelling and Simulation., September, 2016. , pp. 286-292.

[BibTeX]
BibTeX: 
@inproceedings{schillinger16,
  author = {Mark Schillinger and Benedikt Ortelt and Benjamin Hartmann and Jens Schreiter and Mona Meister and Duy Nguyen-Tuong and Oliver Nelles},
  title = {Safe Active Learning of a High Pressure Fuel Supply System},
  booktitle = {9th EUROSIM Congress on Modelling and Simulation},
  year = {2016},
  pages = {286--292}
}
Belz J and Nelles O (2015), "Function Generator Application: Shall Corners be Measured?", In Proceedings 25. Workshop Computational Intelligence, Dortmund., November, 2015.

[BibTeX]
BibTeX: 
@inproceedings{Belz:2015ab,
  author = {Belz, Julian and Nelles, Oliver},
  title = {Function Generator Application: Shall Corners be Measured?},
  booktitle = {Proceedings 25. Workshop Computational Intelligence, Dortmund},
  year = {2015}
}
Belz J and Nelles O (2015), "Proposal for a Function Generator and Extrapolation Analysis", In Innovations in Intelligent Systems and Applications (INISTA), 2015 International Symposium on. Madrid, Spain, September, 2015. , pp. 1-6.

[BibTeX]
BibTeX: 
@inproceedings{Belz:2015aa,
  author = {Belz, Julian and Nelles, Oliver},
  title = {Proposal for a Function Generator and Extrapolation Analysis},
  booktitle = {Innovations in Intelligent Systems and Applications (INISTA), 2015 International Symposium on},
  year = {2015},
  pages = {1--6}
}
Belz J and Nelles O (2015), "Proposal for a function generator and extrapolation analysis", In Innovations in Intelligent Systems and Applications (INISTA), 2015 International Symposium on. , pp. 1-6.

[BibTeX]
BibTeX: 
@inproceedings{belz2015proposal,
  author = {Belz, Julian and Nelles, Oliver},
  title = {Proposal for a function generator and extrapolation analysis},
  booktitle = {Innovations in Intelligent Systems and Applications (INISTA), 2015 International Symposium on},
  year = {2015},
  pages = {1--6}
}
Ebert T, Fischer T, Belz J, Heinz TO, Kampmann G and Nelles O (2015), "Extended Deterministic Local Search Algorithm for Maximin Latin Hypercube Designs", In 2015 IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Control and Automation (2015 IEEE CICA). Cape Town, South Africa, December, 2015.

[BibTeX]
BibTeX: 
@inproceedings{ebert2015extended,
  author = {Ebert, Tobias and Fischer, Thorsten and Belz, Julian and Heinz, Tim O. and Kampmann, Geritt and Nelles, Oliver},
  title = {Extended Deterministic Local Search Algorithm for Maximin Latin Hypercube Designs},
  booktitle = {2015 IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Control and Automation (2015 IEEE CICA)},
  year = {2015}
}
Heinz TO and Nelles O (2015), "Interpretation and Analysis of Input Selection Approaches in Distance Space", In IEEE Symposium Series On Computational Intelligence. Cape Town, South Africa, December, 2015.

[BibTeX]
BibTeX: 
@inproceedings{Heinz:2015LH,
  author = {Heinz, Tim O. and Nelles, Oliver},
  title = {Interpretation and Analysis of Input Selection Approaches in Distance Space},
  booktitle = {IEEE Symposium Series On Computational Intelligence},
  year = {2015}
}
Horwath M, Belz J, Nelles O, Schmidt J and Idelberger H (2015), "Detection of purposeful design parameters using neural networks in the early product development of vehicle body components", NAFEMS Seminar on Optimization and Robust Design, Wiesbaden., March, 2015. , pp. 129-141.

[BibTeX]
BibTeX: 
@article{Horwath:2015aa,
  author = {Horwath, Michael and Belz, Julian and Nelles, Oliver and Schmidt, Jana and Idelberger, Horst},
  title = {Detection of purposeful design parameters using neural networks in the early product development of vehicle body components},
  journal = {NAFEMS Seminar on Optimization and Robust Design, Wiesbaden},
  year = {2015},
  pages = {129-141}
}
Horwath M, Belz J, Schmidt J, Nelles O and Idelberger H (2015), "Detektion zielführender Konstruktionsparameter mittels neuronaler Netze in der frühzeitigen Produktentwicklung von Fahrzeugkarosseriebauteilen", http://www.nafems.org/publications/magazin/ [2015-12-18].. Thesis at: National Agency for Finite Element Methods and Standards (NAFEMS)., December, 2015. (36, pp. 56-70)

[BibTeX]
BibTeX: 
@techreport{Horwath:2015ab,
  author = {Horwath, Michael and Belz, Julian and Schmidt, Jana and Nelles, Oliver and Idelberger, Horst},
  title = {Detektion zielführender Konstruktionsparameter mittels neuronaler Netze in der frühzeitigen Produktentwicklung von Fahrzeugkarosseriebauteilen},
  school = {National Agency for Finite Element Methods and Standards (NAFEMS)},
  year = {2015},
  number = {36, pp. 56--70}
}
Belz J and Nelles O (2014), "Input Selection Using Local Model Network Trees", In 19th IFAC World Congress. Capetown, South Africa, August, 2014. , pp. 4128-4133.

[BibTeX]
BibTeX: 
@inproceedings{Belz:2014aa,
  author = {Belz, Julian and Nelles, Oliver},
  title = {Input Selection Using Local Model Network Trees},
  booktitle = {19th IFAC World Congress},
  year = {2014},
  pages = {4128-4133}
}
Ebert T, Belz J and Nelles O (2014), "Detektion von Extrapolation", In Proceedings of the 24. Workshop on Computational Intelligence, Dortmund, Germany. Vol. 50, pp. 17-32.

[BibTeX]
BibTeX: 
@inproceedings{ebert2014detektion,
  author = {Ebert, Tobias and Belz, Julian and Nelles, Oliver},
  title = {Detektion von Extrapolation},
  booktitle = {Proceedings of the 24. Workshop on Computational Intelligence, Dortmund, Germany},
  year = {2014},
  volume = {50},
  pages = {17--32}
}
Ebert T, Belz J and Nelles O (2014), "Interpolation and extrapolation: Comparison of definitions and survey of algorithms for convex and concave hulls", In Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on. , pp. 310-314.

[BibTeX]
BibTeX: 
@inproceedings{ebert2014interpolation,
  author = {Ebert, Tobias and Belz, Julian and Nelles, Oliver},
  title = {Interpolation and extrapolation: Comparison of definitions and survey of algorithms for convex and concave hulls},
  booktitle = {Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on},
  year = {2014},
  pages = {310--314}
}
Fischer T and Nelles O (2014), "Merging strategy for local model networks based on the lolimot algorithm", In International Conference on Artificial Neural Networks. , pp. 153-160.

[BibTeX]
BibTeX: 
@inproceedings{fischer2014merging,
  author = {Fischer, Torsten and Nelles, Oliver},
  title = {Merging strategy for local model networks based on the lolimot algorithm},
  booktitle = {International Conference on Artificial Neural Networks},
  year = {2014},
  pages = {153--160}
}
Hartmann B and Nelles O (2014), "Identifikation mit achsenschrägen, lokal polynomialen Modellnetzen", at -- Automatisierungstechnik. Vol. 62(6), pp. 394-407.

[BibTeX]
BibTeX: 
@article{hartmann2014identifikation,
  author = {Hartmann, Benjamin and Nelles, Oliver},
  title = {Identifikation mit achsenschrägen, lokal polynomialen Modellnetzen},
  journal = {at -- Automatisierungstechnik},
  year = {2014},
  volume = {62},
  number = {6},
  pages = {394--407}
}
Kampmann G and Nelles O (2014), "One-Class LS-SVM with Zero Leave-One-Out Error", In IEEE Symposium Series On Computational Intelligence. Orlando, Florida, USA, December, 2014. , pp. 1-6.

[BibTeX]
BibTeX: 
@inproceedings{Kampmann:2014tl,
  author = {Kampmann, Geritt and Nelles, Oliver},
  title = {One-Class LS-SVM with Zero Leave-One-Out Error},
  booktitle = {IEEE Symposium Series On Computational Intelligence},
  year = {2014},
  pages = {1--6}
}
Belz J and Nelles O (2013), "Input Selection Using Local Model Network Trees", In 23. Workshop Computational Intelligence. Dortmund, Germany, December, 2013.

[BibTeX]
BibTeX: 
@inproceedings{Belz_GMA_13,
  author = {Belz, Julian and Nelles, Oliver},
  title = {Input Selection Using Local Model Network Trees},
  booktitle = {23. Workshop Computational Intelligence},
  year = {2013}
}
Hartmann B (2013), "Lokale Modellnetze zur Identifikation und Versuchsplanung nichtlinearer Systeme", In Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau.. Thesis at: Universität Siegen.

[Abstract] [BibTeX] [URL]
Abstract: In der vorliegenden Arbeit werden neue Verfahren zur experimentellen, datenbasierten Modellbildung (Identifikation) und zur Versuchsplanung nichtlinearer Systeme mit Hilfe von lokalen Modellnetzen vorgestellt.

Die aus dieser Arbeit hervorgehenden Algorithmen basieren einerseits auf einer detaillierten Analyse und Weiterentwicklung der linearen Optimierung lokal gewichteter, polynomialer Modelle hinsichtlich Parameterschätzung, Regularisierung, Validierung und Strukturselektion. Andererseits bedarf es nichtlinearer Optimierungsverfahren, um die Gültigkeitsgebiete der lokalen Modelle an den nichtlinearen Prozess anzupassen. Dazu werden geeignete, heuristische Partitionierungsstrategien entwickelt, die durch sukzessive Unterteilung des Eingangsraums in der Lage sind, lokale Modellnetze effizient an die zugrunde liegenden Prozessdaten anzupassen. Dazu bedienen sich die untersuchten Verfahren achsenschräger Teilungsstrategien, welche sich durch eine flexible Partitionierung insbesondere für höherdimensionale Probleme eignen. Zudem wird eine Strategie vorgestellt, bei der automatisch eine Abwägung stattfindet, ob das Modell entweder mit einer achsenschrägen Teilung flexibilisiert oder ob die Anzahl der zu selektierenden Regressoren der Teilmodelle erhöht werden soll. Die Partitionierung und die lokale Selektion der signifikanten Polynomterme erfolgen hierbei simultan.

Darüber hinaus bietet die Umsetzung des neu entwickelten "Hierarchical Local Model Tree"-Algorithmus’ (HILOMOT) als statistisches Versuchsplanungsverfahren neue Möglichkeiten für praktische Anwendungen. Neben einer Offline-Versuchsplanung können nichtlineare Prozesse, für die kein a priori-Wissen zur Verfügung steht, mit dem Algorithmus aktiv gelernt werden. Das aktive Lernverfahren ist in der Lage, online mit dem Prozess zu interagieren und den Anforderungen entsprechend die Messpunkte effizient zu platzieren.

Die vorgestellten Algorithmen werden durch die Anwendung an realen Systemen verifiziert und deren Leistungsfähigkeit unter Beweis gestellt. Dazu zählt die Modellierung des Verbrauchs und der Emissionskenngrößen eines modernen Dieselmotors, die aktive Versuchsplanung im Rahmen eines Structural Health Monitoring-Systems und die adaptive Online-Versuchsplanung am Motorenprüfstand zur Kalibrierung eines Dieselmotors.
BibTeX: 
@phdthesis{ubsi_786,
  author = {Benjamin Hartmann},
  title = {Lokale Modellnetze zur Identifikation und Versuchsplanung nichtlinearer Systeme},
  booktitle = {Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau},
  school = {Universität Siegen},
  year = {2013},
  url = {https://dspace.ub.uni-siegen.de/handle/ubsi/786}
}
Hartmann B, Baumann W and Nelles O (2013), "Axes-Oblique Partitioning of Local Model Networks for Engine Calibration", In Design of Experiments (DoE) in Engine Development. Berlin, Germany , pp. 92-106. Expert Verlag.

[BibTeX]
BibTeX: 
@inproceedings{hartmann2013hilomot,
  author = {Hartmann, Benjamin and Baumann, Wolf and Nelles, Oliver},
  title = {Axes-Oblique Partitioning of Local Model Networks for Engine Calibration},
  booktitle = {Design of Experiments (DoE) in Engine Development},
  publisher = {Expert Verlag},
  year = {2013},
  pages = {92-106}
}
Hartmann B and Nelles O (2013), "Adaptive Test Planning for the Calibration of Combustion Engines -- Methodology", In Design of Experiments (DoE) in Engine Development. Berlin, Germany , pp. 1-16. Expert Verlag.

[BibTeX]
BibTeX: 
@inproceedings{hartmann2013hilomotDoE,
  author = {Hartmann, Benjamin and Nelles, Oliver},
  title = {Adaptive Test Planning for the Calibration of Combustion Engines -- Methodology},
  booktitle = {Design of Experiments (DoE) in Engine Development},
  publisher = {Expert Verlag},
  year = {2013},
  pages = {1-16}
}
Klein P, Kirschbaum F, Hartmann B, Bogachik J and Nelles O (2013), "Adaptive Test Planning for the Calibration of Combustion Engines -- Application", In Design of Experiments (DoE) in Engine Development. Berlin, Germany , pp. 17-30. Expert Verlag.

[BibTeX]
BibTeX: 
@inproceedings{klein2013hilomotDoE,
  author = {Klein, Philipp and Kirschbaum, Frank and Hartmann, Bnjamin and Bogachik, J. and Nelles, Oliver},
  title = {Adaptive Test Planning for the Calibration of Combustion Engines -- Application},
  booktitle = {Design of Experiments (DoE) in Engine Development},
  publisher = {Expert Verlag},
  year = {2013},
  pages = {17-30}
}
Niedzwetzki P, Sauermann R, Kirschbaum F and Nelles O (2013), "Auslegung elektromagnetischer Aktoren mittels Partikelschwarmoptimierung", Mechatronik Mobil. Vol. 5, pp. 12-17.

[BibTeX]
BibTeX: 
@article{NSK13,
  author = {Niedzwetzki, P. and Sauermann, R. and Kirschbaum, F. and Nelles, O.},
  title = {Auslegung elektromagnetischer Aktoren mittels Partikelschwarmoptimierung},
  journal = {Mechatronik Mobil},
  year = {2013},
  volume = {5},
  pages = {12-17}
}
Fischer T, Hartmann B and Nelles O (2012), "Increasing the Performance of a Training Algorithm for Local Model Networks", In World Congress of Engineering and Computer Science (WCECS). San Francisco, USA, October, 2012. , pp. 1104-1109.

[BibTeX]
BibTeX: 
@inproceedings{Fischer_Nelles_WCECS_12,
  author = {Fischer, Thorsten and Hartmann, Benjamin and Nelles, Oliver},
  title = {Increasing the Performance of a Training Algorithm for Local Model Networks},
  booktitle = {World Congress of Engineering and Computer Science (WCECS)},
  year = {2012},
  pages = {1104-1109}
}
Hartmann B, Ebert T, Fischer T, Belz J, Kampmann G and Nelles O (2012), "LMNTOOL -- Toolbox zum automatischen Trainieren lokaler Modellnetze", In 22. Workshop Computational Intelligence. Dortmund, Germany, December, 2012. , pp. 87-100.

[BibTeX]
BibTeX: 
@inproceedings{Hartmann_GMA_12,
  author = {Hartmann, Benjamin and Ebert, Tobias and Fischer, Thorsten and Belz, Julian and Kampmann, Geritt and Nelles, Oliver},
  title = {LMNTOOL -- Toolbox zum automatischen Trainieren lokaler Modellnetze},
  booktitle = {22. Workshop Computational Intelligence},
  year = {2012},
  pages = {87--100}
}
Hartmann B and Nelles O (2012), "Structure trade-off strategy for local model networks", In Control Applications (CCA), 2012 IEEE International Conference on. , pp. 451-456.

[BibTeX]
BibTeX: 
@inproceedings{Hartmann_CCA_2012,
  author = {Hartmann, Benjamin and Nelles, Oliver},
  title = {Structure trade-off strategy for local model networks},
  booktitle = {Control Applications (CCA), 2012 IEEE International Conference on},
  year = {2012},
  pages = {451--456}
}
Hayn H (2012), "Entwicklung eines haptisch unterstützten Bedienkonzepts für Hydraulikbagger", In Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau.. Thesis at: Universität Siegen.

[Abstract] [BibTeX] [URL]
Abstract: Haptisch unterstützte Bedienkonzepte finden gegenwärtig in mobilen Arbeitsmaschinen, wie z. B. Hydraulikbaggern, keine Anwendung. Zurzeit werden diese Maschinen mit hydraulischen Joysticks bedient. Jede Joystickachse steuert einen einzelnen hydraulischen Aktor (z. B. Zylinder), was aufgrund der nicht immer übereinstimmenden Bewegungsarten und -richtungen zu einer wenig intuitiven Bedienung führt. Erst seit der Verfügbarkeit elektrohydraulischer Systeme für den Serieneinsatz sind auch alternative intuitive Bedienkonzepte mit elektronischen Vorsteuergeräten möglich. Diese Konzepte können durch haptisch unterstützte Assistenzsysteme erweitert werden. Haptisch unterstützte Bedienkonzepte zielen auf eine effizientere Mensch-Maschine-Interaktion, eine Reduzierung von Bedienfehlern und eine Verkürzung der Einlernzeit unerfahrener Bediener.
In der vorliegenden Arbeit wird ein Master-Slave-Bedienkonzept für einen Hydraulikbagger vorgeschlagen, welches den Fahrer über haptische Interaktion bei der Maschinenführung unterstützt. Das Bedienkonzept beinhaltet intuitive, aktive Bedienelemente, die eine Alternative zur herkömmlichen Maschinensteuerung mit Joysticks darstellen, und eine bilaterale Reglerarchitektur für das Gesamtsystem, bestehend aus Bagger und Bediengerät. Die Bedienelemente, welche die kinematische Kette des Arbeitsarms nachbilden, versprechen eine intuitive Bedienung der Maschine. Für die ständige Synchronisation der Bedienelemente mit der aktuellen Position des Hydraulikbaggers müssen diese mit Aktoren ausgestattet und positionsgeregelt sein. In der vorgeschlagenen Reglerarchitektur geben sich beide Systeme jeweils gegenseitig die Führungsgröße für die Positionsregelung vor. Der Bediener wirkt als Störung auf das System. Diese Architektur ermöglicht eine stabile Regelung und gibt dem Bediener ein haptisches Feedback der Trägheit des hydraulischen Manipulators. Die Regler für die elektrischen bzw. hydraulischen Aktoren von Bedienelementen und Bagger werden mit Hilfe der Entwurfsmethode Internal Model Control ausgelegt. Dazu wird ein bekannter Ansatz auf integrierende Strecken erweitert. Zur Verbesserung der Regelgüte wird eine Stellgrößenbeschränkung über ein Zustandsvariablenfilter für Systeme mit integrierenden Strecken vorgeschlagen.
Ein weiterer Aspekt der Arbeit ist die Nutzung der Aktoren der Bedienelemente zur Implementierung von haptischen Assistenzsystemen. Diese unterstützen den Fahrer bei verschiedenen Arbeitsaufgaben (z. B. Planieren, Böschungsbau, Kollisionsvermeidung) durch fühlbare Kräfte, die das Bedienelement an den Fahrer zurückgibt.
Um das Bedienkonzept zu verifizieren, wird ein echtzeitfähiger Virtual Reality Baggersimulator und ein mit elektronisch vorgesteuerten Hydraulikventilen, Rapid Control Prototyping Hardware und Sensorik ausgerüsteter Versuchsbagger verwendet. Zur prototypischen Umsetzung der Bedienelemente am Versuchsbagger werden kommerziell verfügbare Bediengeräte, ein SensAble Phantom Omni und ein 3Dconnexion SpaceBall 5000, eingesetzt. Es werden Ergebnisse aus experimentellen Messungen angegeben.
Zur Bewertung des vorgeschlagenen Bedienkonzepts sowie der haptischen Assistenzfunktionen werden Experimente mit Probanden am Versuchsbagger durchgeführt, welche die Intuitivität des Konzepts und die Funktionalität der Assistenzsysteme bestätigen.
BibTeX: 
@phdthesis{ubsi_654,
  author = {Henning Hayn},
  title = {Entwicklung eines haptisch unterstützten Bedienkonzepts für Hydraulikbagger},
  booktitle = {Schriftenreihe der Arbeitsgruppe Mess- und Regelungstechnik - Mechatronik, Department Maschinenbau},
  school = {Universität Siegen},
  year = {2012},
  url = {https://dspace.ub.uni-siegen.de/handle/ubsi/654}
}
Hoffmann F, Mikut R, Kroll A, Reischl M, Nelles O, Schulte H and Bertram T (2012), "Computational Intellgence : State-of-the-Art Methoden und Benchmarkprobleme", In 22. Workshop Computational Intelligence. Dortmund, Germany, December, 2012. Vol. 22, pp. 1-42.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_GMA_12,
  author = {Hoffmann, Frank and Mikut, Ralf and Kroll, Andreas and Reischl, Markus and Nelles, Oliver and Schulte, Horst and Bertram, Torsten},
  title = {Computational Intellgence : State-of-the-Art Methoden und Benchmarkprobleme},
  booktitle = {22. Workshop Computational Intelligence},
  year = {2012},
  volume = {22},
  pages = {1--42}
}
Kampmann G, Kieft N and Nelles O (2012), "Support Vector Machines for Design Space Exploration", In World Congress of Engineering and Computer Science (WCECS). San Francisco, USA, October, 2012. , pp. 1116-1121.

[BibTeX]
BibTeX: 
@inproceedings{Kampmann_WCECS_12,
  author = {Kampmann, Geritt and Kieft, Natascha and Nelles, Oliver},
  title = {Support Vector Machines for Design Space Exploration},
  booktitle = {World Congress of Engineering and Computer Science (WCECS)},
  year = {2012},
  pages = {1116-1121}
}
Bänfer O, Hartmann B and Nelles O (2011), "POLYMOT versus HILOMOT -- A Comparison of Two Different Training Algorithms for Local Model Networks", In IEEE Conference on Decision and Control and European Control Conference. Orlando, USA, December, 2011.

[BibTeX]
BibTeX: 
@inproceedings{Baenfer_Nelles_CDC_11,
  author = {Bänfer, Oliver and Hartmann, Benjamin and Nelles, Oliver},
  title = {POLYMOT versus HILOMOT -- A Comparison of Two Different Training Algorithms for Local Model Networks},
  booktitle = {IEEE Conference on Decision and Control and European Control Conference},
  year = {2011}
}
Bänfer O, Kampmann G and Nelles O (2011), "Multi-Step-Ahead Optimal Learning Strategy for Local Model Networks with Higher Degree Polynomials", In American Control Conference (ACC). San Francisco, USA, June, 2011.

[BibTeX]
BibTeX: 
@inproceedings{Baenfer_Nelles_ACC_11,
  author = {Bänfer, Oliver and Kampmann, Geritt and Nelles, Oliver},
  title = {Multi-Step-Ahead Optimal Learning Strategy for Local Model Networks with Higher Degree Polynomials},
  booktitle = {American Control Conference (ACC)},
  year = {2011}
}
Ebert T, Kampmann G and Nelles O (2011), "Reliable nearest neighbors for lazy learning", In American Control Conference (ACC), 2011., 29 2011-july 1, 2011. , pp. 3041 -3046.

[BibTeX]
BibTeX: 
@inproceedings{Ebert_ACC,
  author = {Ebert, Tobias and Kampmann, Geritt and Nelles, Oliver},
  title = {Reliable nearest neighbors for lazy learning},
  booktitle = {American Control Conference (ACC), 2011},
  year = {2011},
  pages = {3041 -3046}
}
Golub MV, Moll J, Ebert T, Glushkov EV, Glushkova NV, Fritzen C-P and Nelles O (2011), "Experimentally Based Modeling of Non-Axisymmetric Lamb Wave Propagation from Circular PZTs", In 5th ECCOMAS Thematic Conference on Smart Structures and Materials. , pp. 486-492.

[BibTeX]
BibTeX: 
@inproceedings{golub2011experimentally,
  author = {Golub, Mikhail V. and Moll, Jochen and Ebert, Tobias and Glushkov, Evgeny V. and Glushkova, Natalia V. and Fritzen, Claus-P. and Nelles, Oliver},
  title = {Experimentally Based Modeling of Non-Axisymmetric Lamb Wave Propagation from Circular PZTs},
  booktitle = {5th ECCOMAS Thematic Conference on Smart Structures and Materials},
  year = {2011},
  pages = {486--492}
}
Hartmann B, Bänfer O, Nelles O, Sodja A, Teslic L and Škrjanc I (2011), "Supervised Hierarchical Clustering in Fuzzy Model Identification", IEEE Transactions on Fuzzy Systems. Vol. 19(6), pp. 1163-1176.

[BibTeX]
BibTeX: 
@article{hartmann2011supervised,
  author = {Hartmann, Benjamin and Bänfer, Oliver and Nelles, Oliver and Sodja, Anton and Teslic, Luka and Škrjanc, Igor},
  title = {Supervised Hierarchical Clustering in Fuzzy Model Identification},
  journal = {IEEE Transactions on Fuzzy Systems},
  year = {2011},
  volume = {19},
  number = {6},
  pages = {1163--1176}
}
Hartmann B, Ebert T and Nelles O (2011), "Model-based design of experiments based on local model networks for nonlinear processes with low noise levels", In American Control Conference (ACC), 2011., 29 2011-july 1, 2011. , pp. 5306 -5311.

[BibTeX]
BibTeX: 
@inproceedings{Hartmann:2011aa,
  author = {Hartmann, Benjamin and Ebert, Tobias and Nelles, Oliver},
  title = {Model-based design of experiments based on local model networks for nonlinear processes with low noise levels},
  booktitle = {American Control Conference (ACC), 2011},
  year = {2011},
  pages = {5306 -5311}
}
Hartmann B, Moll J, Nelles O and Fritzen C-P (2011), "Hierarchical local model trees for design of experiments in the framework of ultrasonic structural health monitoring", In Control Applications (CCA), 2011 IEEE International Conference on. , pp. 1163-1170.

[BibTeX]
BibTeX: 
@inproceedings{hartmann2011hierarchical,
  author = {Hartmann, Benjamin and Moll, Jochen and Nelles, Oliver and Fritzen, Claus-P.},
  title = {Hierarchical local model trees for design of experiments in the framework of ultrasonic structural health monitoring},
  booktitle = {Control Applications (CCA), 2011 IEEE International Conference on},
  year = {2011},
  pages = {1163--1170}
}
Minor Thomas und Bänfer OuNOuIH (2011), "Virtuelle Versuchstechniken zur Simulation von Betriebsfestigkeitsversuchen unter Anwendung von Neuro-Fuzzy-Methoden", NAFEMS Mag., Juli, 2011. , pp. 58-70.

[BibTeX]
BibTeX: 
@article{Minor_NAFEMS_Mag,
  author = {Minor, Thomas und Bänfer, Oliver und Nelles, Oliver und Idelberger, Horst},
  title = {Virtuelle Versuchstechniken zur Simulation von Betriebsfestigkeitsversuchen unter Anwendung von Neuro-Fuzzy-Methoden},
  journal = {NAFEMS Mag},
  year = {2011},
  pages = {58--70}
}
Teslic L, Hartmann B, Nelles O and Škrjanc I (2011), "Nonlinear System Identification by Gustafson--Kessel Fuzzy Clustering and Supervised Local Model Network Learning for the Drug Absorption Spectra Process", Neural Networks, IEEE Transactions on. Vol. 22(12), pp. 1941-1951. IEEE.

[BibTeX]
BibTeX: 
@article{teslic2011nonlinear,
  author = {Teslic, Luka and Hartmann, Benjamin and Nelles, Oliver and Škrjanc, Igor},
  title = {Nonlinear System Identification by Gustafson--Kessel Fuzzy Clustering and Supervised Local Model Network Learning for the Drug Absorption Spectra Process},
  journal = {Neural Networks, IEEE Transactions on},
  publisher = {IEEE},
  year = {2011},
  volume = {22},
  number = {12},
  pages = {1941--1951}
}
Bänfer O, Franke M and Nelles O (2010), "Adaptive Local Model Networks with Higher Degree Polynomials", In IEEE International Conference on Control, Automation and Systems (ICCAS). Gyeonggi-do, Korea, Oct., 2010.

[BibTeX]
BibTeX: 
@inproceedings{Baenfer_ICCAS_10,
  author = {Bänfer, Oliver and Franke, Marlon and Nelles, Oliver},
  title = {Adaptive Local Model Networks with Higher Degree Polynomials},
  booktitle = {IEEE International Conference on Control, Automation and Systems (ICCAS)},
  year = {2010}
}
Bänfer O, Hartmann B and Nelles O (2010), "Comparison of Different Subset Selection Algorithms for Learning Local Model Networks with Higher Degree Polynomials", In IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV). Singapore, Dec., 2010.

[BibTeX]
BibTeX: 
@inproceedings{Baenfer_ICARCV_10,
  author = {Bänfer, Oliver and Hartmann, Benjamin and Nelles, Oliver},
  title = {Comparison of Different Subset Selection Algorithms for Learning Local Model Networks with Higher Degree Polynomials},
  booktitle = {IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV)},
  year = {2010}
}
Ebert T, Bänfer O and Nelles O (2010), "Multilayer Perceptron Network with Modified Sigmoid Activation Functions", In Artificial Intelligence and Computational Intelligence. Vol. 6319, pp. 414-421. Springer Berlin / Heidelberg.

[BibTeX] [URL]
BibTeX: 
@incollection{springerlink:10.1007/978-3-642-16530-6_49,
  author = {Ebert, Tobias and Bänfer, Oliver and Nelles, Oliver},
  editor = {Wang, Fu and Deng, Hepu and Gao, Yang and Lei, Jingsheng},
  title = {Multilayer Perceptron Network with Modified Sigmoid Activation Functions},
  booktitle = {Artificial Intelligence and Computational Intelligence},
  publisher = {Springer Berlin / Heidelberg},
  year = {2010},
  volume = {6319},
  pages = {414-421},
  url = {http://dx.doi.org/10.1007/978-3-642-16530-6_49}
}
Hartmann B, Moll J, Nelles O and Fritzen C-P (2010), "Modeling of Nonlinear Wave Velocity Characteristics in a Structural Health Monitoring System", In IEEE International Conference on Control Applications (CCA). Yokohama, Japan, September, 2010.

[BibTeX]
BibTeX: 
@inproceedings{Hartmann_CCA_2010,
  author = {Hartmann, Benjamin and Moll, Jochen and Nelles, Oliver and Fritzen, Claus-P.},
  title = {Modeling of Nonlinear Wave Velocity Characteristics in a Structural Health Monitoring System},
  booktitle = {IEEE International Conference on Control Applications (CCA)},
  year = {2010}
}
Hartmann B and Nelles O (2010), "Approximative Tikhonov Regularization for Smoothing Hierarchical Local Model Networks", In WASET International Conference on Fuzzy Systems and Neural Computing (ICFSNC). Bali, Indonesien, July, 2010.

[BibTeX]
BibTeX: 
@inproceedings{Hartmann_WASET_2010,
  author = {Hartmann, Benjamin and Nelles, Oliver},
  title = {Approximative Tikhonov Regularization for Smoothing Hierarchical Local Model Networks},
  booktitle = {WASET International Conference on Fuzzy Systems and Neural Computing (ICFSNC)},
  year = {2010}
}
Minor Thomas und Bänfer OuNOuIH (2010), "Virtual Test Methods to Simulate Variable-Amplitude Fatigue Tests using Local Model Networks", In NAFEMS Seminar: Simulation-based Fatigue and Lifetime Predictions. Wiesbaden, Germany, Nov., 2010.

[BibTeX]
BibTeX: 
@inproceedings{Minor_NAFEMS,
  author = {Minor, Thomas und Bänfer, Oliver und Nelles, Oliver und Idelberger, Horst},
  title = {Virtual Test Methods to Simulate Variable-Amplitude Fatigue Tests using Local Model Networks},
  booktitle = {NAFEMS Seminar: Simulation-based Fatigue and Lifetime Predictions},
  year = {2010}
}
Moll J, Schulte RT, Hartmann B, Fritzen C-P and Nelles O (2010), "Multi-site damage localization in anisotropic plate-like structures using an active guided wave structural health monitoring system", Smart materials and structures. Vol. 19(4), pp. 045022. IOP Publishing.

[BibTeX]
BibTeX: 
@article{Schulte_Hartmann,
  author = {Moll, Jochen and Schulte, Rolf T. and Hartmann, Benjamin and Fritzen, Claus-P. and Nelles, Oliver},
  title = {Multi-site damage localization in anisotropic plate-like structures using an active guided wave structural health monitoring system},
  journal = {Smart materials and structures},
  publisher = {IOP Publishing},
  year = {2010},
  volume = {19},
  number = {4},
  pages = {045022}
}
Sauermann R, Boja D, Kirschbaum F and Nelles O (2010), "Particle Swarm Optimization for Automotive Model-Based Calibration", In IFAC Symposium Advances in Automotive Control. , pp. 733-738.

[BibTeX]
BibTeX: 
@inproceedings{sauermann2010particle,
  author = {Sauermann, Ralf and Boja, Dankmar and Kirschbaum, Frank and Nelles, Oliver},
  title = {Particle Swarm Optimization for Automotive Model-Based Calibration},
  booktitle = {IFAC Symposium Advances in Automotive Control},
  year = {2010},
  pages = {733--738}
}
Weymann H, Dinkelacker F and Nelles O (2010), "Neural Mathematical Model for the Determination of the Combustion Pressure Profile / Neuronales Berechnungsmodell zur Bestimmung des Brennraumdruckverlaufs", MTZ., 12, 2010. , pp. 32-39.

[BibTeX]
BibTeX: 
@article{Weymann_MTZ,
  author = {Weymann, Hardy and Dinkelacker, Friedrich and Nelles, Oliver},
  title = {Neural Mathematical Model for the Determination of the Combustion Pressure Profile / Neuronales Berechnungsmodell zur Bestimmung des Brennraumdruckverlaufs},
  journal = {MTZ},
  year = {2010},
  pages = {32-39}
}
Bänfer O and Nelles O (2009), "Learning Strategies for Local Model Networks with Higher Degree Polynomials", In IFAC International Conference on Intelligent Control Systems and Signal Processing (ICONS). Istanbul, Turkey, Sept., 2009.

[BibTeX]
BibTeX: 
@inproceedings{Baenfer_ICONS_09,
  author = {Bänfer, Oliver and Nelles, Oliver},
  title = {Learning Strategies for Local Model Networks with Higher Degree Polynomials},
  booktitle = {IFAC International Conference on Intelligent Control Systems and Signal Processing (ICONS)},
  year = {2009}
}
Bänfer O and Nelles O (2009), "Polynomial Model Tree (POLYMOT) - A New Training Algorithm for Local Model Networks with Higher Degree Polynomials", In IEEE International Conference on Control and Automation (ICCA). Christchurch, New Zealand, Dec., 2009. , pp. 1571-1576.

[BibTeX]
BibTeX: 
@inproceedings{Baenfer_ICCA_09,
  author = {Bänfer, Oliver and Nelles, Oliver},
  title = {Polynomial Model Tree (POLYMOT) - A New Training Algorithm for Local Model Networks with Higher Degree Polynomials},
  booktitle = {IEEE International Conference on Control and Automation (ICCA)},
  year = {2009},
  pages = {1571--1576}
}
Bänfer O, Nelles O, Kainz J and Beer J (2009), "Local Model Networks with Modified Parabolic Membership Functions", In IEEE International Conference on Artificial Intelligence and Computational Intelligence (AICI). Shanghai, China, Nov., 2009. , pp. 179-183.

[BibTeX]
BibTeX: 
@inproceedings{Baenfer_AICI_09,
  author = {Bänfer, Oliver and Nelles, Oliver and Kainz, Josef and Beer, Josef},
  title = {Local Model Networks with Modified Parabolic Membership Functions},
  booktitle = {IEEE International Conference on Artificial Intelligence and Computational Intelligence (AICI)},
  year = {2009},
  pages = {179--183}
}
Boja D, Kirschbaum F, Sauermann R and Nelles O (2009), "Identification of Nonlinear Hysteretic Engine Boost Pressure Characteristics Using Preisach Representations", In System Identification. Vol. 15(1), pp. 1405-1410.

[BibTeX]
BibTeX: 
@inproceedings{boja2009identification,
  author = {Boja, Dankmar and Kirschbaum, Frank and Sauermann, Ralf and Nelles, Oliver},
  title = {Identification of Nonlinear Hysteretic Engine Boost Pressure Characteristics Using Preisach Representations},
  booktitle = {System Identification},
  year = {2009},
  volume = {15},
  number = {1},
  pages = {1405--1410}
}
Hartmann B and Nelles O (2009), "Advantages of Hierarchical versus Flat Model Structures for High--Dimensional Mappings", In Workshop Computational Intelligence. Bommerholz, Germany, Dec., 2009.

[BibTeX]
BibTeX: 
@inproceedings{Hartmann_WCI_2009,
  author = {Hartmann, Benjamin and Nelles, Oliver},
  title = {Advantages of Hierarchical versus Flat Model Structures for High--Dimensional Mappings},
  booktitle = {Workshop Computational Intelligence},
  year = {2009}
}
Hartmann B and Nelles O (2009), "Automatic Adjustment of the Transition between Local Models in a Hierarchical Structure Identification Algorithm", In European Control Conference (ECC). Budapest, Hungary, August, 2009.

[BibTeX]
BibTeX: 
@inproceedings{Hartmann_ECC_2009,
  author = {Hartmann, Benjamin and Nelles, Oliver},
  title = {Automatic Adjustment of the Transition between Local Models in a Hierarchical Structure Identification Algorithm},
  booktitle = {European Control Conference (ECC)},
  year = {2009}
}
Hartmann B and Nelles O (2009), "On the Smoothness in Local Model Networks", In American Control Conference (ACC). St. Louis, USA, June, 2009.

[BibTeX]
BibTeX: 
@inproceedings{Hartmann_ACC_2009,
  author = {Hartmann, Benjamin and Nelles, Oliver},
  title = {On the Smoothness in Local Model Networks},
  booktitle = {American Control Conference (ACC)},
  year = {2009}
}
Hartmann B, Nelles O, Belič A and Zupančič-Božič D (2009), "Local Model Networks for the Optimization of a Tablet Production Process", Artificial Intelligence and Computational Intelligence. Vol. 5855, pp. 241-250. Springer Berlin / Heidelberg.

[BibTeX] [URL]
BibTeX: 
@article{Hartmann_AICI_2009,
  author = {Hartmann, Benjamin and Nelles, Oliver and Belič, Aleš and Zupančič--Božič, Damjana},
  editor = {Deng, Hepu and Wang, Lanzhou and Wang, Fu and Lei, Jingsheng},
  title = {Local Model Networks for the Optimization of a Tablet Production Process},
  journal = {Artificial Intelligence and Computational Intelligence},
  publisher = {Springer Berlin / Heidelberg},
  year = {2009},
  volume = {5855},
  pages = {241-250},
  url = {http://dx.doi.org/10.1007/978-3-642-05253-8_27}
}
Hartmann B, Nelles O, Škrjanc I and Sodja A (2009), "Global Supervised and Local Unsupervised Learning in Local Model Networks", In IFAC Symposium on System Identification (SYSID). Saint-Malo, France, July, 2009.

[BibTeX]
BibTeX: 
@inproceedings{Hartmann_SYSID_2009,
  author = {Hartmann, Benjamin and Nelles, Oliver and Škrjanc, Igor and Sodja, Anton},
  title = {Global Supervised and Local Unsupervised Learning in Local Model Networks},
  booktitle = {IFAC Symposium on System Identification (SYSID)},
  year = {2009}
}
Hartmann B, Nelles O, Škrjanc I and Sodja A (2009), "Supervised Hierarchical Clustering (SUHICLUST) for Nonlinear System Identification", In IEEE Symposium on Computational Intelligence in Control and Automation (CICA). Nashville, USA, March, 2009.

[BibTeX]
BibTeX: 
@inproceedings{Hartmann_CICA_2009,
  author = {Hartmann, Benjamin and Nelles, Oliver and Škrjanc, Igor and Sodja, Anton},
  title = {Supervised Hierarchical Clustering (SUHICLUST) for Nonlinear System Identification},
  booktitle = {IEEE Symposium on Computational Intelligence in Control and Automation (CICA)},
  year = {2009}
}
Kainz J, Beer J, Bänfer O and Nelles O (2009), "Application of a Local Model Network in an Engine Management System to Model Valve Train Variability", In Variable Valve Control. Essen, Germany, March, 2009.

[BibTeX]
BibTeX: 
@inproceedings{Kainz_VVC_09,
  author = {Kainz, Josef and Beer, Josef and Bänfer, Oliver and Nelles, Oliver},
  title = {Application of a Local Model Network in an Engine Management System to Model Valve Train Variability},
  booktitle = {Variable Valve Control},
  year = {2009}
}
Nelles O (2009), "Identifikation mit lokalen Modellen basierend auf achsenschrägen Unterteilungen des Eingangsraums". Thesis at: Universität Siegen, Fachbereich Maschinenbau, Institut für Mechanik und Regelungstechnik -- Mechatronik. ((NE 656/3-2))

[BibTeX]
BibTeX: 
@techreport{DFGAntrag2009,
  author = {Nelles, Oliver},
  title = {Identifikation mit lokalen Modellen basierend auf achsenschrägen Unterteilungen des Eingangsraums},
  school = {Universität Siegen, Fachbereich Maschinenbau, Institut für Mechanik und Regelungstechnik -- Mechatronik},
  year = {2009},
  number = {(NE 656/3-2)}
}
Uzun H and Nelles O (2009), "Developing a new procedure for the determination of target-aimed mathematical models", In 5. Conf. of Design of Experiments (DoE) in Engine Development. Berlin, Germnay, Aug., 2009.

[BibTeX]
BibTeX: 
@inproceedings{Uzun_Nelles_IAV_09,
  author = {Uzun, Hazan and Nelles, Oliver},
  title = {Developing a new procedure for the determination of target-aimed mathematical models},
  booktitle = {5. Conf. of Design of Experiments (DoE) in Engine Development},
  year = {2009}
}
Uzun H and Nelles O (2009), "Erweiterung des Erfahrungsschatzes zur Auswahl zielführender Versuchspläne und Modelle durch Simulation", In 3. Internationalen Symposiums für Entwicklungsmethodik. Graz, Austria, Nov., 2009.

[BibTeX]
BibTeX: 
@inproceedings{Uzun_Nelles_AVL_09,
  author = {Uzun, Hazan and Nelles, Oliver},
  title = {Erweiterung des Erfahrungsschatzes zur Auswahl zielführender Versuchspläne und Modelle durch Simulation},
  booktitle = {3. Internationalen Symposiums für Entwicklungsmethodik},
  year = {2009}
}
Bänfer O, Nelles O, Kainz J and Beer J (2008), "Local Model Networks - The Prospective Method for Modeling in Electronic Control Units?", ATZelektronik., Nov., 2008. Vol. 3(6), pp. 36-39.

[BibTeX]
BibTeX: 
@article{Baenfer_Nelles_ATZe_08,
  author = {Bänfer, Oliver and Nelles, Oliver and Kainz, Josef and Beer, Josef},
  title = {Local Model Networks - The Prospective Method for Modeling in Electronic Control Units?},
  journal = {ATZelektronik},
  year = {2008},
  volume = {3},
  number = {6},
  pages = {36--39}
}
Hoffmann M, Schmidt C, Becker R, Buchtala B and Nelles O (2008), "Model Based Determination of Hydraulic Drive Requirements for Driving Dynamics Control", In 6. Fluid Power Conference. Dresden, Germany, March, 2008.

[BibTeX]
BibTeX: 
@inproceedings{Hoffmann_Nelles_07,
  author = {M. Hoffmann and C. Schmidt and R. Becker and B. Buchtala and Nelles, Oliver},
  title = {Model Based Determination of Hydraulic Drive Requirements for Driving Dynamics Control},
  booktitle = {6. Fluid Power Conference},
  year = {2008}
}
Bänfer O and Nelles O (2007), "Lokale Neuro-Fuzzy-Netze für Mikrocontroller in Festkomma-Arithmetik", In 41. Regelungstechnisches Kolloquium. Boppard, Germany, Feb., 2007.

[BibTeX]
BibTeX: 
@inproceedings{Baenfer_Nelles_07,
  author = {Oliver Bänfer and Nelles, Oliver},
  title = {Lokale Neuro-Fuzzy-Netze für Mikrocontroller in Festkomma-Arithmetik},
  booktitle = {41. Regelungstechnisches Kolloquium},
  year = {2007}
}
Bänfer O, Nelles O, Kainz J and Beer J (2006), "Realisierung eines künstlichen neuronalen Netzes auf einem Mikrocontroller in Festkomma-Arithmetik", In 16. Workshop Computational Intelligence. Dortmund, Germany, Nov., 2006.

[BibTeX]
BibTeX: 
@inproceedings{Baenfer_Nelles_06,
  author = {Bänfer, Oliver and Nelles, Oliver and Kainz, Josef and Beer, Josef},
  title = {Realisierung eines künstlichen neuronalen Netzes auf einem Mikrocontroller in Festkomma-Arithmetik},
  booktitle = {16. Workshop Computational Intelligence},
  year = {2006}
}
Nelles O (2006), "Axes-Oblique Partitioning Strategies for Local Model Networks", In IEEE International Symposium on Intelligent Control. Munich, Germany, Oct., 2006. , pp. 2378-2383.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_IEEE_06,
  author = {Nelles, Oliver},
  title = {Axes-Oblique Partitioning Strategies for Local Model Networks},
  booktitle = {IEEE International Symposium on Intelligent Control},
  year = {2006},
  pages = {2378--2383}
}
Nelles O (2006), "Identifikation mit lokalen Modellen basierend auf achsenschrägen Unterteilungen des Eingangsraums". Thesis at: Universität Siegen, Fachbereich Maschinenbau, Institut für Mechanik und Regelungstechnik -- Mechatronik. ((NE 656/3-1))

[BibTeX]
BibTeX: 
@techreport{DFGAntrag2006,
  author = {Nelles, Oliver},
  title = {Identifikation mit lokalen Modellen basierend auf achsenschrägen Unterteilungen des Eingangsraums},
  school = {Universität Siegen, Fachbereich Maschinenbau, Institut für Mechanik und Regelungstechnik -- Mechatronik},
  year = {2006},
  number = {(NE 656/3-1)}
}
Nelles O (2006), "Neuronale Netze: Eine Übersicht", In VDI/VDE-GMA-Tagung Informations-fusion in der Mess- und Sensortechnik. Eisenach, Germany, June, 2006.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_VDI_06,
  author = {Nelles, Oliver},
  title = {Neuronale Netze: Eine Übersicht},
  booktitle = {VDI/VDE-GMA-Tagung Informations-fusion in der Mess- und Sensortechnik},
  year = {2006}
}
Marechal T, Nelles O and Lohrenz F (2004), "Intelligent Shift Strategies for Automatic Transmissions", In Innovations pour Transmissions Automobiles, Car Training Institute (CTI). Paris, France, Sept., 2004.

[BibTeX]
BibTeX: 
@inproceedings{Marechal_Nelles_04,
  author = {Marechal, Thierry and Nelles, Oliver and Lohrenz, Frank},
  title = {Intelligent Shift Strategies for Automatic Transmissions},
  booktitle = {Innovations pour Transmissions Automobiles, Car Training Institute (CTI)},
  year = {2004}
}
Nelles O (2003), "IntelligenTip: A Learning Shift Strategy for Automated Transmissions", In SAE World Congress. Detroit, USA, March, 2003.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_SAE_03,
  author = {Nelles, Oliver},
  title = {IntelligenTip: A Learning Shift Strategy for Automated Transmissions},
  booktitle = {SAE World Congress},
  year = {2003}
}
Nelles O (2003), "Lernfähige Fuzzy-basierte Fahrstrategie für automatische Getriebe", In Modellgestützte Steuerung, Regelung und Diagnose von Verbrennungsmotoren. , pp. 233-250. Springer.

[BibTeX]
BibTeX: 
@incollection{Nelles_Springer_03,
  author = {Nelles, Oliver},
  editor = {Isermann, Rolf},
  title = {Lernfähige Fuzzy-basierte Fahrstrategie für automatische Getriebe},
  booktitle = {Modellgestützte Steuerung, Regelung und Diagnose von Verbrennungsmotoren},
  publisher = {Springer},
  year = {2003},
  pages = {233--250}
}
Töpfer S and Nelles O (2003), "Polynommodelle, Kennfelder und neuronale Netze", In Modellgestützte Steuerung, Regelung und Diagnose von Verbrennungsmotoren. , pp. 103-120. Springer.

[BibTeX]
BibTeX: 
@incollection{Toepfer_Nelles_03,
  author = {Töpfer, Susanne and Nelles, Oliver},
  editor = {Isermann, Rolf},
  title = {Polynommodelle, Kennfelder und neuronale Netze},
  booktitle = {Modellgestützte Steuerung, Regelung und Diagnose von Verbrennungsmotoren},
  publisher = {Springer},
  year = {2003},
  pages = {103--120}
}
Fink A and Nelles O (2002), "Nonlinear Internal Model Control for MISO Systems Based on Local Linear Neuro-Fuzzy Models", In 15th IFAC World Congress. Barcelona, Spain, July, 2002.

[BibTeX]
BibTeX: 
@inproceedings{Fink_Nelles_02,
  author = {Fink, Alexander and Nelles, Oliver},
  title = {Nonlinear Internal Model Control for MISO Systems Based on Local Linear Neuro-Fuzzy Models},
  booktitle = {15th IFAC World Congress},
  year = {2002}
}
Nelles O (2002), "Die lernende Fahrstrategie IntelligenTip", In IIR Getriebeelektronik. Mannheim, Germany, May, 2002.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_IIR_02,
  author = {Nelles, Oliver},
  title = {Die lernende Fahrstrategie IntelligenTip},
  booktitle = {IIR Getriebeelektronik},
  year = {2002}
}
Nelles O (2002), "Lernfähige Fuzzy-basierte Fahrstrategie für automatische Getriebe", In Haus der Technik Tagung: Modellgestützte Steuerung, Regelung und Diagnose von Verbrennungsmotoren. Darmstadt, Germany, June, 2002.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_HDT_02,
  author = {Nelles, Oliver},
  title = {Lernfähige Fuzzy-basierte Fahrstrategie für automatische Getriebe},
  booktitle = {Haus der Technik Tagung: Modellgestützte Steuerung, Regelung und Diagnose von Verbrennungsmotoren},
  year = {2002}
}
Nelles O and Probst G (2002), "Drivetrain Control with ISG: Influence on Driveability, Comfort, Performance, and Fuel Consumption", In 14. Internationale AVL Tagung Motor & Umwelt. Graz, Austria, Sept., 2002.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_Probst_02,
  author = {Nelles, Oliver and Probst, Gregor},
  title = {Drivetrain Control with ISG: Influence on Driveability, Comfort, Performance, and Fuel Consumption},
  booktitle = {14. Internationale AVL Tagung Motor & Umwelt},
  year = {2002}
}
Fink A and Nelles O (2001), "Nonlinear Internal Model Control Based on Local Linear Neural Networks", In IEEE Conference on Systems, Man, and Cybernetics. Tuscon, USA, Oct., 2001. , pp. 350-364.

[BibTeX]
BibTeX: 
@inproceedings{Fink_Nelles_SMC_01,
  author = {Fink, Alexander and Nelles, Oliver},
  title = {Nonlinear Internal Model Control Based on Local Linear Neural Networks},
  booktitle = {IEEE Conference on Systems, Man, and Cybernetics},
  year = {2001},
  pages = {350--364}
}
Fink A, Nelles O, Fischer M and Isermann R (2001), "Non-linear Adaptive Control of a Heat Exchanger", International Journal of Adaptive Control and Signal Processing. Vol. 15(8), pp. 883-906.

[BibTeX]
BibTeX: 
@article{Fink_Nelles_01,
  author = {Fink, Alexander and Nelles, Oliver and Fischer, Martin and Isermann, Rolf},
  title = {Non-linear Adaptive Control of a Heat Exchanger},
  journal = {International Journal of Adaptive Control and Signal Processing},
  year = {2001},
  volume = {15},
  number = {8},
  pages = {883--906}
}
Hoffmann F and Nelles O (2001), "Genetic Programming for Model Selection of TSK Fuzzy Systems", International Journal of Information Sciences. Vol. 136, pp. 7-28.

[BibTeX]
BibTeX: 
@article{Hoffmann_Nelles_01,
  author = {Hoffmann, Frank and Nelles, Oliver},
  title = {Genetic Programming for Model Selection of TSK Fuzzy Systems},
  journal = {International Journal of Information Sciences},
  year = {2001},
  volume = {136},
  pages = {7--28}
}
Nelles O (2001), "Nonlinear System Identification -- From Classical Approaches to Neural Networks and Fuzzy Systems" Berlin, Germany Springer.

[BibTeX]
BibTeX: 
@book{Nelles_Book,
  author = {Nelles, Oliver},
  title = {Nonlinear System Identification -- From Classical Approaches to Neural Networks and Fuzzy Systems},
  publisher = {Springer},
  year = {2001}
}
Sheng Y, Nelles O and Tomizuka M (2001), "Intelligent Modeling of Drilling Process: A Knowledge-based Neural Strategy with Fuzzy Switches", In ASME International Mechanical Engineering Congress and Exposition. New York, USA, Nov., 2001.

[BibTeX]
BibTeX: 
@inproceedings{Sheng_Nelles_01,
  author = {Sheng, Ye and Nelles, Oliver and Tomizuka, Masayoshi},
  title = {Intelligent Modeling of Drilling Process: A Knowledge-based Neural Strategy with Fuzzy Switches},
  booktitle = {ASME International Mechanical Engineering Congress and Exposition},
  year = {2001}
}
Fink A, Fischer M and Nelles O (2000), "Supervision of Nonlinear Adaptive Controllers Based on Fuzzy Models", Control Engineering Practice (CEP). Vol. 8(10), pp. 1093-1105.

[BibTeX]
BibTeX: 
@article{Fink_Nelles_CEP_00,
  author = {Fink, Alexander and Fischer, Martin and Nelles, Oliver},
  title = {Supervision of Nonlinear Adaptive Controllers Based on Fuzzy Models},
  journal = {Control Engineering Practice (CEP)},
  year = {2000},
  volume = {8},
  number = {10},
  pages = {1093--1105}
}
Fischer M, Nelles O and Isermann R (2000), "Knowledge-Based Adaptation of Neuro-fuzzy Models in Predictive Control of a Heat Exchanger", In Soft Computing and Intelligent Systems: Theory and Practice. Academic Press.

[BibTeX]
BibTeX: 
@incollection{Fischer_Nelles_Sinha_00,
  author = {Fischer, Martin and Nelles, Oliver and Isermann, Rolf},
  editor = {Sinha and Gupta},
  title = {Knowledge-Based Adaptation of Neuro-fuzzy Models in Predictive Control of a Heat Exchanger},
  booktitle = {Soft Computing and Intelligent Systems: Theory and Practice},
  publisher = {Academic Press},
  year = {2000}
}
Füssel D and Nelles O (2000), "Takagi-Sugeno Fuzzy-Systeme als lokale Polynomklassifikatoren", In GMA-Kongress Computational Intelligence. Baden-Baden, Germany , pp. 350-364.

[BibTeX]
BibTeX: 
@inproceedings{Fuessel_Nelles_GMA_00,
  author = {Füssel, Dominik and Nelles, Oliver},
  title = {Takagi-Sugeno Fuzzy-Systeme als lokale Polynomklassifikatoren},
  booktitle = {GMA-Kongress Computational Intelligence},
  year = {2000},
  pages = {350--364}
}
Hafner M, Schüler M, Nelles O and Isermann R (2000), "Fast Neural Networks for Diesel Engine Control Design", Control Engineering Practice (CEP). Vol. 8(11), pp. 1211-1221.

[BibTeX]
BibTeX: 
@article{Hafner_Nelles_CEP_00,
  author = {Hafner, Michael and Schüler, Matthias and Nelles, Oliver and Isermann, Rolf},
  title = {Fast Neural Networks for Diesel Engine Control Design},
  journal = {Control Engineering Practice (CEP)},
  year = {2000},
  volume = {8},
  number = {11},
  pages = {1211--1221}
}
Hoffmann F and Nelles O (2000), "Structure Identification of TSK Fuzzy Systems Using Genetic Programming", In Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU). Madrid, Spain, July, 2000.

[BibTeX]
BibTeX: 
@inproceedings{Hoffmann_Nelles_IPMU_00,
  author = {Hoffmann, Frank and Nelles, Oliver},
  title = {Structure Identification of TSK Fuzzy Systems Using Genetic Programming},
  booktitle = {Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU)},
  year = {2000}
}
Nelles O and Fink A (2000), "Grid-Based Look-Up Table Optimization Toolbox", In IFAC Symposium on System Identification (SYSID). Santa Barbara, USA, June, 2000.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_Fink_SYSID_00b,
  author = {Nelles, Oliver and Fink, Alexander},
  title = {Grid-Based Look-Up Table Optimization Toolbox},
  booktitle = {IFAC Symposium on System Identification (SYSID)},
  year = {2000}
}
Nelles O and Fink A (2000), "Tool zur Optimierung von Rasterkennfeldern", atp -- Automatisierungstechnische Praxis., May, 2000. Vol. 42(5), pp. 58-66.

[BibTeX]
BibTeX: 
@article{Nelles_Fink_ATP_00,
  author = {Nelles, Oliver and Fink, Alexander},
  title = {Tool zur Optimierung von Rasterkennfeldern},
  journal = {atp -- Automatisierungstechnische Praxis},
  year = {2000},
  volume = {42},
  number = {5},
  pages = {58--66}
}
Nelles O, Fink A, Babuška R and Setnes M (2000), "Comparison of Two Construction Algorithms for Takagi-Sugeno Fuzzy Models", International Journal of Applied Mathematics and Computer Science. Vol. 10(4), pp. 835-855.

[BibTeX]
BibTeX: 
@article{Nelles_Babuska_00,
  author = {Nelles, Oliver and Fink, Alexander and Babuška, Robert and Setnes, Magne},
  title = {Comparison of Two Construction Algorithms for Takagi-Sugeno Fuzzy Models},
  journal = {International Journal of Applied Mathematics and Computer Science},
  year = {2000},
  volume = {10},
  number = {4},
  pages = {835--855}
}
Nelles O, Fink A and Isermann R (2000), "Local Linear Model Trees (LOLIMOT) Toolbox for Nonlinear System Identification", In IFAC Symposium on System Identification (SYSID). Santa Barbara, USA, June, 2000.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_Fink_SYSID_00,
  author = {Nelles, Oliver and Fink, Alexander and Isermann, Rolf},
  title = {Local Linear Model Trees (LOLIMOT) Toolbox for Nonlinear System Identification},
  booktitle = {IFAC Symposium on System Identification (SYSID)},
  year = {2000}
}
Nelles O, Fink A and Isermann R (2000), "Local Orthonormal Basis Function Networks", In IEE UKACC International Conference on Control. Cambridge, UK, Sept., 2000.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_Fink_IEE_00,
  author = {Nelles, Oliver and Fink, Alexander and Isermann, Rolf},
  title = {Local Orthonormal Basis Function Networks},
  booktitle = {IEE UKACC International Conference on Control},
  year = {2000}
}
Nelles O and Tomizuka M (2000), "On the Dynamics of Local Linear Model Networks with Orthonormal Basis Functions", In IFAC Symposium on System Identification (SYSID). Santa Barbara, USA, June, 2000.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_Tomizuka_SYSID_00,
  author = {Nelles, Oliver and Tomizuka, Masayoshi},
  title = {On the Dynamics of Local Linear Model Networks with Orthonormal Basis Functions},
  booktitle = {IFAC Symposium on System Identification (SYSID)},
  year = {2000}
}
Schaffnit J, Nelles O, Isermann R and Schmid W (2000), "Local Linear Model Tree (LOLIMOT) for Nonlinear System Identification of a Turbocharger with Variable Turbine Geometry (VTG)", In IFAC Symposium on System Identification (SYSID). Santa Barbara, USA, June, 2000.

[BibTeX]
BibTeX: 
@inproceedings{Schaffnit_Nelles_SYSID_00,
  author = {Schaffnit, Jochen and Nelles, Oliver and Isermann, Rolf and Schmid, Wolfram},
  title = {Local Linear Model Tree (LOLIMOT) for Nonlinear System Identification of a Turbocharger with Variable Turbine Geometry (VTG)},
  booktitle = {IFAC Symposium on System Identification (SYSID)},
  year = {2000}
}
Töpfer S, Nelles O and Isermann R (2000), "Comparison of a Hierarchically Constructed Neural Network and a Hierarchical Look-up Table", In IFAC Symposium on System Identification (SYSID). Santa Barbara, USA, June, 2000.

[BibTeX]
BibTeX: 
@inproceedings{Toepfer_Nelles_SYSID_00,
  author = {Töpfer, Susanne and Nelles, Oliver and Isermann, Rolf},
  title = {Comparison of a Hierarchically Constructed Neural Network and a Hierarchical Look-up Table},
  booktitle = {IFAC Symposium on System Identification (SYSID)},
  year = {2000}
}
Fink A, Fischer M and Nelles O (1999), "Supervison of Nonlinear Adaptive Controllers Based on Fuzzy Models", In IFAC World Congress. Beijing, China, July, 1999. Vol. Q, pp. 335-340.

[BibTeX]
BibTeX: 
@inproceedings{Fink_Fischer_Nelles_IFAC_99,
  author = {Fink, Alexander and Fischer, Martin and Nelles, Oliver},
  title = {Supervison of Nonlinear Adaptive Controllers Based on Fuzzy Models},
  booktitle = {IFAC World Congress},
  year = {1999},
  volume = {Q},
  pages = {335--340}
}
Fink A, Nelles O and Fischer M (1999), "Linearization Based and Local Model Based Controller Design", In European Control Conference (ECC). Karlsruhe, Germany, Sept., 1999.

[BibTeX]
BibTeX: 
@inproceedings{Fink_Nelles_ECC_99,
  author = {Fink, Alexander and Nelles, Oliver and Fischer, Martin},
  title = {Linearization Based and Local Model Based Controller Design},
  booktitle = {European Control Conference (ECC)},
  year = {1999}
}
Hafner Michael andSchüler M and Nelles O (1999), "Dynamical Identification and Control of Combustion Engine Exhaust", In American Control Conference (ACC). San Diego, USA, June, 1999. , pp. 222-226.

[BibTeX]
BibTeX: 
@inproceedings{Hafner_Schueler_Nelles_ACC_99,
  author = {Hafner, Michael andSchüler, Matthias and Nelles, Oliver},
  title = {Dynamical Identification and Control of Combustion Engine Exhaust},
  booktitle = {American Control Conference (ACC)},
  year = {1999},
  pages = {222--226}
}
Halfmann C, Nelles O and Holzmann H (1999), "Identification of the Vehicle Suspension Characteristics using Local Linear Model Trees", In IEEE Conference on Control Applications (CCA). Kohala Coast, USA, Aug., 1999. , pp. 991-996.

[BibTeX]
BibTeX: 
@inproceedings{Halfmann_Nelles_CCA_99,
  author = {Halfmann, Christoph and Nelles, Oliver and Holzmann, Henning},
  title = {Identification of the Vehicle Suspension Characteristics using Local Linear Model Trees},
  booktitle = {IEEE Conference on Control Applications (CCA)},
  year = {1999},
  pages = {991--996}
}
Halfmann C, Nelles O and Holzmann H (1999), "Semi-Physical Modeling of the Vertical Vehicle Dynamics", In American Control Conference (ACC). San Diego, USA, June, 1999. , pp. 1707-1711.

[BibTeX]
BibTeX: 
@inproceedings{Halfmann_Nelles_ACC_99,
  author = {Halfmann, Christoph and Nelles, Oliver and Holzmann, Henning},
  title = {Semi-Physical Modeling of the Vertical Vehicle Dynamics},
  booktitle = {American Control Conference (ACC)},
  year = {1999},
  pages = {1707--1711}
}
Holzmann H, Nelles O, Halfmann C and Isermann R (1999), "Vehicle Dynamics Simulation Based on Hybrid Modeling", In IEEE/ASME Conference on Advanced Intelligent Mechatronics. Atlanta, USA, Sept., 1999. , pp. 19-23.

[BibTeX]
BibTeX: 
@inproceedings{Holzmann_Nelles_ASME_99,
  author = {Holzmann, Henning and Nelles, Oliver and Halfmann, Christoph and Isermann, Rolf},
  title = {Vehicle Dynamics Simulation Based on Hybrid Modeling},
  booktitle = {IEEE/ASME Conference on Advanced Intelligent Mechatronics},
  year = {1999},
  pages = {19--23}
}
Müller N and Nelles O (1999), "Closed-Loop Ignition Control Using On-line Learning of Locally-Tuned Radial Basis Function Networks", In American Control Conference (ACC). San Diego, USA, June, 1999. , pp. 1356-1360.

[BibTeX]
BibTeX: 
@inproceedings{Mueller_Nelles_ACC_99,
  author = {Müller, Norbert and Nelles, Oliver},
  title = {Closed-Loop Ignition Control Using On-line Learning of Locally-Tuned Radial Basis Function Networks},
  booktitle = {American Control Conference (ACC)},
  year = {1999},
  pages = {1356--1360}
}
Nelles O (1999), "Nonlinear System Identification with Local Linear Neuro-Fuzzy Models" Aachen, Germany Shaker Verlag.

[BibTeX]
BibTeX: 
@book{Nelles_Diss,
  author = {Nelles, Oliver},
  title = {Nonlinear System Identification with Local Linear Neuro-Fuzzy Models},
  publisher = {Shaker Verlag},
  year = {1999}
}
Nelles O, Fink A, Babuška R and Setnes M (1999), "Comparison of Two Construction Algorithms for Takagi-Sugeno Fuzzy Models", In European Congress on Intelligent Techniques and Soft Computing (EUFIT). Aachen, Germany, Sept., 1999.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_EUFIT_99,
  author = {Nelles, Oliver and Fink, Alexander and Babuška, Robert and Setnes, Magne},
  title = {Comparison of Two Construction Algorithms for Takagi-Sugeno Fuzzy Models},
  booktitle = {European Congress on Intelligent Techniques and Soft Computing (EUFIT)},
  year = {1999}
}
Nelles O and Fischer M (1999), "Lokale Linearisierung von Fuzzy-Modellen", at -- Automatisierungstechnik., May, 1999. Vol. 47(5), pp. 217-223.

[BibTeX]
BibTeX: 
@article{Nelles_Fischer_AT_99,
  author = {Nelles, Oliver and Fischer, Martin},
  title = {Lokale Linearisierung von Fuzzy-Modellen},
  journal = {at -- Automatisierungstechnik},
  year = {1999},
  volume = {47},
  number = {5},
  pages = {217--223}
}
Schwarz R, Nelles O and Isermann R (1999), "Verbesserung der Signalgenauigkeit von Raddrehzahlsensoren mittels Online-Kompensation der Impulsradfehler", atp -- Automatisierungstechnische Praxis., March, 1999. Vol. 41(3), pp. 35-42.

[BibTeX]
BibTeX: 
@article{Schwarz_Nelles_ATP_99,
  author = {Schwarz, Ralf and Nelles, Oliver and Isermann, Rolf},
  title = {Verbesserung der Signalgenauigkeit von Raddrehzahlsensoren mittels Online-Kompensation der Impulsradfehler},
  journal = {atp -- Automatisierungstechnische Praxis},
  year = {1999},
  volume = {41},
  number = {3},
  pages = {35--42}
}
Schwarz R, Nelles O, Isermann R and Scheerer P (1999), "Verfahren zum Ausgleich von Abweichungen eines Raddrehzahlsensors", Patent DE 197 21 488 A1.

[BibTeX]
BibTeX: 
@article{Schwarz_Nelles_Patent,
  author = {Schwarz, Ralf and Nelles, Oliver and Isermann, Rolf and Scheerer, Peter},
  title = {Verfahren zum Ausgleich von Abweichungen eines Raddrehzahlsensors},
  journal = {Patent DE 197 21 488 A1},
  year = {1999}
}
Ballé P, Fischer M, Füssel D, Nelles O and Isermann R (1998), "Integrated Control, Diagnosis, and Reconfiguration of a Heat Exchanger", IEEE Control Systems Magazine., June, 1998. Vol. 18(3), pp. 52-63.

[BibTeX]
BibTeX: 
@article{Balle_Nelles_IEEE_98,
  author = {Ballé, Peter and Fischer, Martin and Füssel, Dominik and Nelles, Oliver and Isermann, Rolf},
  title = {Integrated Control, Diagnosis, and Reconfiguration of a Heat Exchanger},
  journal = {IEEE Control Systems Magazine},
  year = {1998},
  volume = {18},
  number = {3},
  pages = {52--63}
}
Fischer M, Nelles O and Fink A (1998), "Adaptive Fuzzy Model-Based Control", Journal A. Vol. 39(3), pp. 22-28.

[BibTeX]
BibTeX: 
@article{Fischer_Nelles_A_98,
  author = {Fischer, Martin and Nelles, Oliver and Fink, Alexander},
  title = {Adaptive Fuzzy Model-Based Control},
  journal = {Journal A},
  year = {1998},
  volume = {39},
  number = {3},
  pages = {22--28}
}
Fischer M, Nelles O and Fink A (1998), "Predictive Control Based on Local Linear Fuzzy Models", International Journal of Systems Science. Vol. 28(7), pp. 679-697.

[BibTeX]
BibTeX: 
@article{Fischer_Nelles_IJSS_98,
  author = {Fischer, Martin and Nelles, Oliver and Fink, Alexander},
  title = {Predictive Control Based on Local Linear Fuzzy Models},
  journal = {International Journal of Systems Science},
  year = {1998},
  volume = {28},
  number = {7},
  pages = {679--697}
}
Fischer M, Nelles O and Isermann R (1998), "Adaptive Predictive Control of a Heat Exchanger Based on a Fuzzy Model", Control Engineering Practice (CEP)., June, 1998. Vol. 6(6), pp. 259-269.

[BibTeX]
BibTeX: 
@article{Fischer_Nelles_CEP_98,
  author = {Fischer, Martin and Nelles, Oliver and Isermann, Rolf},
  title = {Adaptive Predictive Control of a Heat Exchanger Based on a Fuzzy Model},
  journal = {Control Engineering Practice (CEP)},
  year = {1998},
  volume = {6},
  number = {6},
  pages = {259--269}
}
Hafner M, Schüler M and Nelles O (1998), "Neural Net Models for Diesel Engines -- Simulation and Exhaust Optimization", In European Congress on Intelligent Techniques and Soft Computing (EUFIT). Aachen, Germany, Sept., 1998. Vol. 1, pp. 215-219.

[BibTeX]
BibTeX: 
@inproceedings{Hafner_Schueler_Nelles_EUFIT_98,
  author = {Hafner, Michael and Schüler, Matthias and Nelles, Oliver},
  title = {Neural Net Models for Diesel Engines -- Simulation and Exhaust Optimization},
  booktitle = {European Congress on Intelligent Techniques and Soft Computing (EUFIT)},
  year = {1998},
  volume = {1},
  pages = {215--219}
}
Nelles O (1998), "Structure Optimization of Takagi-Sugeno Fuzzy Models", International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS), Special Issue on Applications of New Functional Principles of Fuzzy Systems and Neural Networks within Computational Intelligence. Vol. 5(2), pp. 161-170.

[BibTeX]
BibTeX: 
@article{Nelles_IJUFKS_98,
  author = {Nelles, Oliver},
  title = {Structure Optimization of Takagi-Sugeno Fuzzy Models},
  journal = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS), Special Issue on Applications of New Functional Principles of Fuzzy Systems and Neural Networks within Computational Intelligence},
  year = {1998},
  volume = {5},
  number = {2},
  pages = {161--170}
}
Nelles O, Ernst S, Ayoubi M, Schumann A and Lachmann K-H (1998), "Identifikation mit einem Hammersteinmodell und neuronalen Netzen am Beispiel eines Abgasturboladers", at -- Automatisierungstechnik., Sept., 1998. Vol. 46(9), pp. 411-419.

[BibTeX]
BibTeX: 
@article{Nelles_Ernst_AT_98,
  author = {Nelles, Oliver and Ernst, Susanne and Ayoubi, Mihiar and Schumann, Andreas and Lachmann, Karl-H.},
  title = {Identifikation mit einem Hammersteinmodell und neuronalen Netzen am Beispiel eines Abgasturboladers},
  journal = {at -- Automatisierungstechnik},
  year = {1998},
  volume = {46},
  number = {9},
  pages = {411--419}
}
Nelles O, Füssel D, Ballé P and Isermann R (1998), "Model-based Fault Detection and Diagnosis Part B: Applications", In International Conference on Probability, Safety, Assessment, and Management. New York, USA, Sept., 1998. Vol. 3, pp. 1875-1880.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_PSAM_98,
  author = {Nelles, Oliver and Füssel, Dominik and Ballé, Peter and Isermann, Rolf},
  title = {Model-based Fault Detection and Diagnosis Part B: Applications},
  booktitle = {International Conference on Probability, Safety, Assessment, and Management},
  year = {1998},
  volume = {3},
  pages = {1875--1880}
}
Nelles O, Hecker O and Isermann R (1998), "Automatische Strukturselektion für Fuzzy-Modelle zur Identifikation nichtlinearer, dynamischer Prozesse", at -- Automatisierungstechnik., June, 1998. Vol. 46(6), pp. 302-312.

[BibTeX]
BibTeX: 
@article{Nelles_Hecker_AT_98,
  author = {Nelles, Oliver and Hecker, Oliver and Isermann, Rolf},
  title = {Automatische Strukturselektion für Fuzzy-Modelle zur Identifikation nichtlinearer, dynamischer Prozesse},
  journal = {at -- Automatisierungstechnik},
  year = {1998},
  volume = {46},
  number = {6},
  pages = {302--312}
}
Nelles O and Ullrich T (1998), "Comparison of Input Space Decompositions for Local Model Networks", In European Congress on Intelligent Techniques and Soft Computing (EUFIT). Aachen, Germany, Sept., 1998. Vol. 1, pp. 654-658.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_EUFIT_98,
  author = {Nelles, Oliver and Ullrich, Thorsten},
  title = {Comparison of Input Space Decompositions for Local Model Networks},
  booktitle = {European Congress on Intelligent Techniques and Soft Computing (EUFIT)},
  year = {1998},
  volume = {1},
  pages = {654--658}
}
Schmidt M and Nelles O (1998), "Filtering and Deriving Signals Using Neural Networks", In American Control Conference (ACC). Philadelphia, USA, June, 1998. , pp. 2730-2731.

[BibTeX]
BibTeX: 
@inproceedings{Schmidt_Nelles_ACC_98,
  author = {Schmidt, Martin and Nelles, Oliver},
  title = {Filtering and Deriving Signals Using Neural Networks},
  booktitle = {American Control Conference (ACC)},
  year = {1998},
  pages = {2730--2731}
}
Ayoubi M, Halfmann C, Holzmann H, Leonhardt S and Nelles O (1997), "13. IFAC World Congress"

[BibTeX]
BibTeX: 
@article{NellesAyoubi13,
  author = {Ayoubi, Mihiar and Halfmann, Christoph and Holzmann, Henning and Leonhardt, Steffen and Nelles, Oliver},
  title = {13. IFAC World Congress},
  year = {1997}
}
Ballé P and Nelles O (1997), "Fault Detection for a Heat Exchanger Based on a Bank of Local Linear Fuzzy Models of Subprocesses", In IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC). Kuala Lumpur, Malaysia, Sept., 1997. , pp. 606-613.

[BibTeX]
BibTeX: 
@inproceedings{Balle_Nelles_AIRTC_97,
  author = {Ballé, Peter and Nelles, Oliver},
  title = {Fault Detection for a Heat Exchanger Based on a Bank of Local Linear Fuzzy Models of Subprocesses},
  booktitle = {IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC)},
  year = {1997},
  pages = {606--613}
}
Ballé P, Nelles O and Füssel D (1997), "Fault Detection on Nonlinear Processes Based on Local Linear Fuzzy Models in Parallel- and Series-Parallel Mode", In IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS). Kingston upon Hull, UK, Aug., 1997. , pp. 1138-1143.

[BibTeX]
BibTeX: 
@inproceedings{Balle_Nelles_SAFE_97,
  author = {Ballé, Peter and Nelles, Oliver and Füssel, Dominik},
  title = {Fault Detection on Nonlinear Processes Based on Local Linear Fuzzy Models in Parallel- and Series-Parallel Mode},
  booktitle = {IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)},
  year = {1997},
  pages = {1138--1143}
}
Fischer M and Nelles O (1997), "Fuzzy Model-Based Predictive Control of Nonlinear Processes with Fast Dynamics", In International ICSC Symposium on Fuzzy Logic and Applications. Zürich, Switzerland, Feb., 1997. , pp. 57-63.

[BibTeX]
BibTeX: 
@inproceedings{Fischer_Nelles_ICSC_97,
  author = {Fischer, Martin and Nelles, Oliver},
  title = {Fuzzy Model-Based Predictive Control of Nonlinear Processes with Fast Dynamics},
  booktitle = {International ICSC Symposium on Fuzzy Logic and Applications},
  year = {1997},
  pages = {57--63}
}
Fischer M, Nelles O and Isermann R (1997), "Adaptive Predictive Control Based on Local Linear Fuzzy Models", In IFAC Symposium on System Identification (SYSID). Kitakyushu, Fukuoka, Japan, July, 1997. , pp. 859-864.

[BibTeX]
BibTeX: 
@inproceedings{Fischer_Nelles_SYSID_97,
  author = {Fischer, Martin and Nelles, Oliver and Isermann, Rolf},
  title = {Adaptive Predictive Control Based on Local Linear Fuzzy Models},
  booktitle = {IFAC Symposium on System Identification (SYSID)},
  year = {1997},
  pages = {859--864}
}
Fischer M, Nelles O and Isermann R (1997), "Exploiting Prior Knowledge in Fuzzy Model Identification of a Heat Exchanger", In IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC). Kuala Lumpur, Malaysia, Sept., 1997. , pp. 445-450.

[BibTeX]
BibTeX: 
@inproceedings{Fischer_Nelles_prior_AIRTC_97,
  author = {Fischer, Martin and Nelles, Oliver and Isermann, Rolf},
  title = {Exploiting Prior Knowledge in Fuzzy Model Identification of a Heat Exchanger},
  booktitle = {IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC)},
  year = {1997},
  pages = {445--450}
}
Fischer M, Nelles O and Isermann R (1997), "Fuzzy Model-Based Predictive Control of a Heat Exchanger", In IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC). Kuala Lumpur, Malaysia, Sept., 1997. , pp. 463-468.

[BibTeX]
BibTeX: 
@inproceedings{Fischer_Nelles_control_AIRTC_97,
  author = {Fischer, Martin and Nelles, Oliver and Isermann, Rolf},
  title = {Fuzzy Model-Based Predictive Control of a Heat Exchanger},
  booktitle = {IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC)},
  year = {1997},
  pages = {463--468}
}
Hecker O, Nelles O and Isermann R (1997), "Nonlinear System Identification and Predictive Control of a Heat Exchanger Based on Local Linear Model Trees", In American Control Conference (ACC). Albuquerque, USA, June, 1997. , pp. 3294-3299.

[BibTeX]
BibTeX: 
@inproceedings{Hecker_Nelles_ACC_97,
  author = {Hecker, Oliver and Nelles, Oliver and Isermann, Rolf},
  title = {Nonlinear System Identification and Predictive Control of a Heat Exchanger Based on Local Linear Model Trees},
  booktitle = {American Control Conference (ACC)},
  year = {1997},
  pages = {3294--3299}
}
Isermann R, Ernst S and Nelles O (1997), "Identification with Dynamic Neural Networks -- Architectures, Comparisons, Applications --, Plenary", In IFAC Symposium on System Identification (SYSID). Kitakyushu, Fukuoka, Japan, July, 1997. , pp. 997-1022.

[BibTeX]
BibTeX: 
@inproceedings{Isermann_Ernst_Nelles_SYSID_97,
  author = {Isermann, Rolf and Ernst, Susanne and Nelles, Oliver},
  title = {Identification with Dynamic Neural Networks -- Architectures, Comparisons, Applications --, Plenary},
  booktitle = {IFAC Symposium on System Identification (SYSID)},
  year = {1997},
  pages = {997--1022}
}
Nelles O (1997), "GA-Based Generation of Fuzzy Rules", In Fuzzy Evolutionary Computation. Boston, USA , pp. 269-295. Kluwer Academic Publishers.

[BibTeX]
BibTeX: 
@incollection{Nelles_Pedrycz_97,
  author = {Nelles, Oliver},
  editor = {W. Pedrycz},
  title = {GA-Based Generation of Fuzzy Rules},
  booktitle = {Fuzzy Evolutionary Computation},
  publisher = {Kluwer Academic Publishers},
  year = {1997},
  pages = {269--295}
}
Nelles O (1997), "LOLIMOT -- Lokale, lineare Modelle zur Identifikation nichtlinearer, dynamischer Systeme", at -- Automatisierungstechnik., April, 1997. Vol. 45(4), pp. 163-174.

[BibTeX]
BibTeX: 
@article{Nelles_AT_97,
  author = {Nelles, Oliver},
  title = {LOLIMOT -- Lokale, lineare Modelle zur Identifikation nichtlinearer, dynamischer Systeme},
  journal = {at -- Automatisierungstechnik},
  year = {1997},
  volume = {45},
  number = {4},
  pages = {163--174}
}
Nelles O (1997), "Nonlinear System Identification with Neuro-fuzzy Methods", In Intelligent Hybrid Systems -- Fuzzy Logic, Neural Networks, and Genetic Algorithms. Boston, USA , pp. 283-310. Kluwer Academic Publishers.

[BibTeX]
BibTeX: 
@incollection{Nelles_Ruan_97,
  author = {Nelles, Oliver},
  editor = {Da Ruan},
  title = {Nonlinear System Identification with Neuro-fuzzy Methods},
  booktitle = {Intelligent Hybrid Systems -- Fuzzy Logic, Neural Networks, and Genetic Algorithms},
  publisher = {Kluwer Academic Publishers},
  year = {1997},
  pages = {283--310}
}
Nelles O (1997), "Orthonormal Basis Functions for Nonlinear System Identification with Local Linear Model Trees (LOLIMOT)", In IFAC Symposium on System Identification (SYSID). Kitakyushu, Fukuoka, Japan, July, 1997. , pp. 667-672.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_SYSID_97,
  author = {Nelles, Oliver},
  title = {Orthonormal Basis Functions for Nonlinear System Identification with Local Linear Model Trees (LOLIMOT)},
  booktitle = {IFAC Symposium on System Identification (SYSID)},
  year = {1997},
  pages = {667--672}
}
Nelles O (1997), "Strukturoptimierung von Takagi-Sugeno Fuzzy-Modellen", In GMA-Workshop des Fachausschusses 1.4.2 Fuzzy Control. Dortmund, Germany, Nov., 1997. , pp. 93-106.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_GMA_97,
  author = {Nelles, Oliver},
  title = {Strukturoptimierung von Takagi-Sugeno Fuzzy-Modellen},
  booktitle = {GMA-Workshop des Fachausschusses 1.4.2 Fuzzy Control},
  year = {1997},
  pages = {93--106}
}
Nelles O, Ernst S and Isermann R (1997), "Neuronale Netze zur Identifikation nichtlinearer, dynamischer Systeme: Ein Überblick", at -- Automatisierungstechnik., June, 1997. Vol. 45(6), pp. 251-262.

[BibTeX]
BibTeX: 
@article{Nelles_Ernst_AT_97,
  author = {Nelles, Oliver and Ernst, Susanne and Isermann, Rolf},
  title = {Neuronale Netze zur Identifikation nichtlinearer, dynamischer Systeme: Ein Überblick},
  journal = {at -- Automatisierungstechnik},
  year = {1997},
  volume = {45},
  number = {6},
  pages = {251--262}
}
Nelles O and Fischer M (1997), "Fuzzy Model Identification of a PH Process", In International ICSC Symposium on Fuzzy Logic and Applications. Zürich, Switzerland, Feb., 1997. , pp. 359-365.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_ICSC_97,
  author = {Nelles, Oliver and Fischer, Martin},
  title = {Fuzzy Model Identification of a PH Process},
  booktitle = {International ICSC Symposium on Fuzzy Logic and Applications},
  year = {1997},
  pages = {359--365}
}
Nelles O, Fischer M and Isermann R (1997), "Identification of Fuzzy Models for Predictive Control of Nonlinear Time-Variant Processes", In IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC). Kuala Lumpur, Malaysia, Sept., 1997. , pp. 457-462.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_AIRTC_97,
  author = {Nelles, Oliver and Fischer, Martin and Isermann, Rolf},
  title = {Identification of Fuzzy Models for Predictive Control of Nonlinear Time-Variant Processes},
  booktitle = {IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC)},
  year = {1997},
  pages = {457--462}
}
Nelles O, Hecker O and Isermann R (1997), "Automatic Model Selection in Local Linear Model Trees for Nonlinear System Identification of a Transport Delay Process", In IFAC Symposium on System Identification (SYSID). Kitakyushu, Fukuoka, Japan, July, 1997. , pp. 727-732.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_Hecker_SYSID_97,
  author = {Nelles, Oliver and Hecker, Oliver and Isermann, Rolf},
  title = {Automatic Model Selection in Local Linear Model Trees for Nonlinear System Identification of a Transport Delay Process},
  booktitle = {IFAC Symposium on System Identification (SYSID)},
  year = {1997},
  pages = {727--732}
}
Nelles O, Hecker O and Isermann R (1997), "Identifikation nichtlinearer, dynamischer Prozesse mit Takagi-Sugeno Fuzzy-Modellen variabler Struktur", In 4. GI Fuzzy-Neuro-Systeme Workshop. Soest, Germany, March, 1997. , pp. 388-395.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_GI_97,
  author = {Nelles, Oliver and Hecker, Oliver and Isermann, Rolf},
  title = {Identifikation nichtlinearer, dynamischer Prozesse mit Takagi-Sugeno Fuzzy-Modellen variabler Struktur},
  booktitle = {4. GI Fuzzy-Neuro-Systeme Workshop},
  year = {1997},
  pages = {388--395}
}
Schwarz R, Nelles O, Scheerer P and Isermann R (1997), "Increasing Signal Accuracy of Automatic Wheel-Speed Sensors by On-line Learning", In American Control Conference (ACC). Albuquerque, USA, June, 1997. , pp. 1131-1135.

[BibTeX]
BibTeX: 
@inproceedings{Schwarz_Nelles_ACC_97,
  author = {Schwarz, Ralf and Nelles, Oliver and Scheerer, Peter and Isermann, Rolf},
  title = {Increasing Signal Accuracy of Automatic Wheel-Speed Sensors by On-line Learning},
  booktitle = {American Control Conference (ACC)},
  year = {1997},
  pages = {1131--1135}
}
Ernst S, Nelles O and Isermann R (1996), "Neuronale Netze für die Identifikation nichtlinearer, dynamischer Systeme: Ein Überblick", In GMA-Kongreß. Baden-Baden, Germany, Sept., 1996. , pp. 713-722.

[BibTeX]
BibTeX: 
@inproceedings{Ernst_Nelles_GMA_96,
  author = {Ernst, Susanne and Nelles, Oliver and Isermann, Rolf},
  title = {Neuronale Netze für die Identifikation nichtlinearer, dynamischer Systeme: Ein Überblick},
  booktitle = {GMA-Kongreß},
  year = {1996},
  pages = {713-722}
}
Fischer M and Nelles O (1996), "Tuning of PID-Controllers for Nonlinear Processes Based on Local Linear Fuzzy Models", In European Congress on Intelligent Techniques and Soft Computing (EUFIT). Aachen, Germany, Sept., 1996. , pp. 1891-1895.

[BibTeX]
BibTeX: 
@inproceedings{Fischer_Nelles_EUFIT_96,
  author = {Fischer, Martin and Nelles, Oliver},
  title = {Tuning of PID-Controllers for Nonlinear Processes Based on Local Linear Fuzzy Models},
  booktitle = {European Congress on Intelligent Techniques and Soft Computing (EUFIT)},
  year = {1996},
  pages = {1891--1895}
}
Nelles O (1996), "FUREGA - Fuzzy Rule Extraction by a Genetic Algorithm", In European Congress on Intelligent Techniques and Soft Computing (EUFIT). Aachen, Germany, Sept., 1996. , pp. 489-493.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_EUFIT_96,
  author = {Nelles, Oliver},
  title = {FUREGA - Fuzzy Rule Extraction by a Genetic Algorithm},
  booktitle = {European Congress on Intelligent Techniques and Soft Computing (EUFIT)},
  year = {1996},
  pages = {489--493}
}
Nelles O (1996), "Local Linear Model Tree for On-Line Identification of Time-Variant Nonlinear Dynamic Systems", In International Conference on Artificial Neural Networks (ICANN). Bochum, Germany, July, 1996. , pp. 115-120.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_ICANN_96,
  author = {Nelles, Oliver},
  title = {Local Linear Model Tree for On-Line Identification of Time-Variant Nonlinear Dynamic Systems},
  booktitle = {International Conference on Artificial Neural Networks (ICANN)},
  year = {1996},
  pages = {115-120}
}
Nelles O, Ernst S and Isermann R (1996), "Neural Networks for Identification of Nonlinear Dynamic Systems -- An Overview", In European Congress on Intelligent Techniques and Soft Computing (EUFIT). Aachen, Germany, Sept., 1996. , pp. 282-286.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_Ernst_EUFIT_96,
  author = {Nelles, Oliver and Ernst, Susanne and Isermann, Rolf},
  title = {Neural Networks for Identification of Nonlinear Dynamic Systems -- An Overview},
  booktitle = {European Congress on Intelligent Techniques and Soft Computing (EUFIT)},
  year = {1996},
  pages = {282--286}
}
Nelles O and Fischer M (1996), "Local Linear Model Trees (LOLIMOT) for Nonlinear System Identification of a Cooling Blast", In European Congress on Intelligent Techniques and Soft Computing (EUFIT). Aachen, Germany, Sept., 1996. , pp. 1187-1191.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_Fischer_EUFIT_96,
  author = {Nelles, Oliver and Fischer, Martin},
  title = {Local Linear Model Trees (LOLIMOT) for Nonlinear System Identification of a Cooling Blast},
  booktitle = {European Congress on Intelligent Techniques and Soft Computing (EUFIT)},
  year = {1996},
  pages = {1187--1191}
}
Nelles O, Fischer M and Müller B (1996), "Fuzzy Rule Extraction by a Genetic Algorithm and Constrained Nonlinear Optimization of Membership Functions", In International IEEE Conference on Fuzzy Systems (FUZZ-IEEE). New Orleans, USA, Sept., 1996. , pp. 213-219.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_FUZZIEEE_96,
  author = {Nelles, Oliver and Fischer, Martin and Müller, Bernd},
  title = {Fuzzy Rule Extraction by a Genetic Algorithm and Constrained Nonlinear Optimization of Membership Functions},
  booktitle = {International IEEE Conference on Fuzzy Systems (FUZZ-IEEE)},
  year = {1996},
  pages = {213-219}
}
Nelles O and Isermann R (1996), "A New Technique for Determination of Hidden Layer Parameters in RBF Networks", In IFAC World Congress. San Francisco, USA, June, 1996. , pp. 453-457.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_IFAC_96,
  author = {Nelles, Oliver and Isermann, Rolf},
  title = {A New Technique for Determination of Hidden Layer Parameters in RBF Networks},
  booktitle = {IFAC World Congress},
  year = {1996},
  pages = {453--457}
}
Nelles O and Isermann R (1996), "Basis Function Networks for Interpolation of Local Linear Models", In IEEE Conference on Decision and Control (CDC). Kobe, Japan, Dec., 1996. , pp. 470-475.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_CDC_96,
  author = {Nelles, Oliver and Isermann, Rolf},
  title = {Basis Function Networks for Interpolation of Local Linear Models},
  booktitle = {IEEE Conference on Decision and Control (CDC)},
  year = {1996},
  pages = {470--475}
}
Nelles O, Sinsel S and Isermann R (1996), "Local Basis Function Networks for Identification of a Turbocharger", In IEE UKACC International Conference on Control. Exeter, UK, Sept., 1996. , pp. 7-12.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_IEE_96,
  author = {Nelles, Oliver and Sinsel, Stefan and Isermann, Rolf},
  title = {Local Basis Function Networks for Identification of a Turbocharger},
  booktitle = {IEE UKACC International Conference on Control},
  year = {1996},
  pages = {7--12}
}
Nelles O (1995), "On the Identification with Neural Networks as Series-Parallel and Parallel Models", In International Conference on Artificial Neural Networks (ICANN). Paris, France, June, 1995. , pp. 255-260.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_ICANN_95,
  author = {Nelles, Oliver},
  title = {On the Identification with Neural Networks as Series-Parallel and Parallel Models},
  booktitle = {International Conference on Artificial Neural Networks (ICANN)},
  year = {1995},
  pages = {255--260}
}
Nelles O (1995), "On Training Radial Basis Function Networks as Series-Parallel and Parallel Models for Identification of Nonlinear Dynamic Systems", In IEEE Conference on System, Man and Cybernetics (SMC). Vancouver, Canada, Oct., 1995. , pp. 4609-4614.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_SMC_95,
  author = {Nelles, Oliver},
  title = {On Training Radial Basis Function Networks as Series-Parallel and Parallel Models for Identification of Nonlinear Dynamic Systems},
  booktitle = {IEEE Conference on System, Man and Cybernetics (SMC)},
  year = {1995},
  pages = {4609--4614}
}
Nelles O (1995), "Training neuronaler Netze als seriell-parallele oder parallele Modelle zur Identifikation nichtlinearer, dynamischer Systeme", In 3. GI Fuzzy-Neuro-Systeme Workshop. Darmstadt, Germany, Nov., 1995. , pp. 333-339.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_GI_95,
  author = {Nelles, Oliver},
  title = {Training neuronaler Netze als seriell-parallele oder parallele Modelle zur Identifikation nichtlinearer, dynamischer Systeme},
  booktitle = {3. GI Fuzzy-Neuro-Systeme Workshop},
  year = {1995},
  pages = {333--339}
}
Nelles O and Isermann R (1995), "A Comparison between Radial Basis Function Networks and Classical Methods for Identification of Nonlinear Dynamic Systems", In IFAC Symposium on Adaptive Systems in Control and Signal Processing (ASCSP). Budapest, Hungary, June, 1995. , pp. 233-238.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_ASCSP_95,
  author = {Nelles, Oliver and Isermann, Rolf},
  title = {A Comparison between Radial Basis Function Networks and Classical Methods for Identification of Nonlinear Dynamic Systems},
  booktitle = {IFAC Symposium on Adaptive Systems in Control and Signal Processing (ASCSP)},
  year = {1995},
  pages = {233--238}
}
Nelles O and Isermann R (1995), "Identification of Nonlinear Dynamic Systems -- Classical Methods versus Radial Basis Function Networks", In American Control Conference (ACC). Seattle, USA, June, 1995. , pp. 3786-3790.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_ACC_95,
  author = {Nelles, Oliver and Isermann, Rolf},
  title = {Identification of Nonlinear Dynamic Systems -- Classical Methods versus Radial Basis Function Networks},
  booktitle = {American Control Conference (ACC)},
  year = {1995},
  pages = {3786--3790}
}
Nelles O, Isermann R and Schmidt E (1995), "Identification of Nonlinear Dynamic Systems with Radial Basis Funtion Networks - Linear versus Nonlinear Optimization", In European Congress on Intelligent Techniques and Soft Computing (EUFIT). Aachen, Germany, Sept., 1995. , pp. 285-289.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_EUFIT_95,
  author = {Nelles, Oliver and Isermann, Rolf and Schmidt, E.},
  title = {Identification of Nonlinear Dynamic Systems with Radial Basis Funtion Networks - Linear versus Nonlinear Optimization},
  booktitle = {European Congress on Intelligent Techniques and Soft Computing (EUFIT)},
  year = {1995},
  pages = {285--289}
}
Nelles O and Ayoubi M (1994), "Learning the Relevance of Symtoms in Fault Trees", In European Congress on Intelligent Techniques and Soft Computing (EUFIT). Aachen, Germany, Sept., 1994. , pp. 1148-1152.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_EUFIT_94,
  author = {Nelles, Oliver and Ayoubi, Mihiar},
  title = {Learning the Relevance of Symtoms in Fault Trees},
  booktitle = {European Congress on Intelligent Techniques and Soft Computing (EUFIT)},
  year = {1994},
  pages = {1148--1152}
}
Nelles O and Ayoubi M (1994), "Neural Structure for Fault Tree Analysis", In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU). Paris, France, July, 1994.

[BibTeX]
BibTeX: 
@inproceedings{Nelles_IPMU_94,
  author = {Nelles, Oliver and Ayoubi, Mihiar},
  title = {Neural Structure for Fault Tree Analysis},
  booktitle = {International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU)},
  year = {1994}
}
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