The department has defined specific research topics in the fields of measurement technology (MT) as well as control engineering (RT). It possesses extensive modern laboratory equipment.

Published results

Control Engineering

In the field of control engineering, the main focus is on the development of data-driven methods. Process-model-based analysis and synthesis methods are applied only in selected cases due to the high costs for modeling.  The department of Measurement and Control investigates and develops methods to ideally automate the process of the nonlinear system identification by Computational-Intelligence (CI) methods as well as by conventional statistical and numerical methods.. On the one hand, tasks, which typically require previous knowledge (e. g. structural decisions), are to be performed automatically.  On the other hand, efficiency and effectivity of developed methods are to be improved. Piece-wise affine and Takagi-Sugeno models are of particular interest. . The models are developed in regard of their application purpose, of which nonlinear control design, fault diagnosis, real-time simulation and prediction are of prime interest.  

As a further focus, the field of complex systems in the sense of large-scale, coupled systems is being established. Conventional methods of control engineering and system identification are impracticable for such systems. The department of Measurement and Control investigates and develops approximate/qualitative CI methods to be able to describe, analyze and influence dynamics of such systems with spending little efforts for modeling. Other works address methods to efficiently and effectively work with large amounts of metric data ("big data") for analysis and modeling purposes.

The application of these works focuses on the areas of mechatronics and automotive systems as well as production plants

Measurement Technology