Measurement and Control Engineering – Mechatronics Working Group
Prof. Dr.-Ing. Oliver Nelles
Research
Current Research Sorted by Researcher
The current research topics of the Automatic Control – Mechatronics research group are listed below. For more information about a topic, click the corresponding hyperlink.
Max Herkersdorf
- Excitation Signal Design for Nonlinear Dynamic Systems
- One-Class Classifier for Data Evaluation
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 Probability 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