Overview of Current Research Topics

The current research topics of the reseach group Automatic Control – Mechatronics can be found below. For further information about a topic follow the corresponding hyperlink.

• Max Herkersdorf
  • Excitation Signal Design for Nonlinear Dynamic Systems
  • One-Class Classifier for Data Assessment
• Christopher Illg
  • Nonlinear Regularized FIR Models
  • Nonlinear Laguerre and Kautz Models
  • Model Predictive Control with Local Model Networks
• Geritt Kampmann
  • Robust One- and Two-Class Classifiers via Zero Leave-One-Out Cross-Validation Errors
  • Structural Health Monitoring (SHM) using Propability Density Estimation
• Hermann Klein
  • Nonlinear State Space Identification
  • Gray-Box State Space Modeling
• Tarek Kösters
  • Adaptive Local Model Networks (ALMN)
  • Process Optimization of a Combine Harvester
• Timm Peter
  • Preprocessing for Data-Driven Modeling with Probability Density Estimation
  • Density-Based Data Weighting
• Fabian Schneider
  • Data-Driven Optimization of Multi-Stage Forming Processes
  • Growing DoE with 1- and 2-Class Classifiers
  • LOLIMOT Lookup Tables