Dr.-Ing. Tobias Münker
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Publikationen2019- M. Schüssler, T. Münker, O. Nelles, Deep Recurrent Neural Networks for Nonlinear System Identification, Symposium Series of Computational Intelligence (SSCI), IEEE Conference on, 2019, Xiamen, China - M. Schüssler, T. Münker, O. Nelles, Local Model Networks for the Identification of Nonlinear State Space Models, Conference on Decision and Control (CDC), IEEE Conference on, 2019, Nizza, Frankreich
2018- T. Münker, O. Nelles, Nonlinear System Identification with Regularized Local FIR Model Networks, Engineering Applications of Artificial Intelligence, 2018 - T. Münker, O. T. J. Peter, O. Nelles, Gray-box identification with regularized FIR models, at-Automatisierungstechnik, 66(9), 704-713, 2018 - T.O. Heinz, T. Münker, O. Nelles, Identification of Hysteretic Behavior Using NOBF Local Model Networks, Nonlinear System Identification Benchmarks Workshop 2018, Liege - T. Münker, O. Nelles, Improved Incorporation of Prior Knowledge for Regularized FIR Model Identification, American Control Conference (ACC), IEEE Conference on, 2018, Milwaukee - T. Münker, O. Nelles, Sensitive Order Selection via Identification of Regularized FIR Models with Impulse Response Preservation, IFAC Sympossium on System Identification (SYSID) 2018, Stockholm
2017- T. Münker, O. Nelles, Generalizing Piecewise Affine System Identification to Local Model Networks, Symposium Series on Computational Intelligence (SSCI), 2017, Honolulu, Hawaii - T. Münker, O. Nelles, Algorithms for the Identification of Merged Local Model Networks, Workshop on Computational Intelligence (CI, 2017, Dortmund - T. Münker, T. O. Heinz, O. Nelles, Hierarchial Model Predictive Control for Local Model Networks, American Control Conference (ACC), 2017 IEEE International Conference on, pp. 5026-5031, Seattle, USA - T. Münker, T.O. Heinz, J. Belz, O. Nelles, Regularized Local FIR Model Networks for a Bouc-Wen and a Wiener Hammerstein System, Nonlinear System Identification Benchmarks Workshop 2017, Brüssel - H. Jung, T. Münker, G. Kampmann, O. Nelles, C.P. Fritzen, A Probabilistic Approach for Fault Detection of Railway Suspensions , International Workshop of Structural Health Monitoring (IWSHM), 2017, Stanford, USA - J. Belz, T. Münker, T. O. Heinz, G. Kampmann, O. Nelles, Automatic Modelling with Local Model Networks for Benchmark Processes, IFAC World Congress 2017, Tolouse, France
2016- T. Münker, O. Nelles, Local Model Network with Regularized MISO Finite Impulse Response Models, Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on pp. 1-8, Vancouver, Canada - H. Jung, T. Münker, G. Kampmann, K. Rave, C.P. Fritzen, O. Nelles, A Novel Full Scale Roller Rig Test Bench for SHM Concepts of Railway Vehicles, 8th EWSHM 2016, Bilbao, Spain - T. Münker, O. Nelles, Nonlinear System Identification with Regularized Local FIR Model Networks, ICONS 2017, IFAC-PapersOnLine 49 (5), 61-66, 2016, Reims, France
2012- D. Anders, T. Münker, J. Artel, K. Weinberg, A dimensional analysis of front-end bending in plate rolling applications, Journal of Materials Processing Technology 212 (6), 1387-1398, 2012 - T. Münker, D. Anders, K. Weinberg, Application of Buckingham Π‐theorem to asymmetric plate rolling processes, PAMM 12(1), 647-648, 2012 | |
Betreute Masterarbeiten- Max Schüssler, Local Model Networks for the Identification of Nonlinear State-Space Models - Christian Engelbertz, Modellbildung und Regelung einer Feindrahtumspulmaschine - Timm Peter, Regularisierung für die lineare Systemidentifikation - Tim Decker, Identification of Local Gaussian Process Models |
