Mechatronics is a combination of the classical engineering disciplines of mechanical and electrical engineering. Accordingly, a mechatronic system is the conjunction of a mechanical and electrical subsystem. To further increase and insure the performance of the overall system, it is of utmost importance to consider and model the separate subsystems as one system. Besides the highly dynamic nonlinear control of such systems, smart methods to generate models, be it analytically or data-driven by identification, and for filtering and diagnosis play an important role.

Besides the application domains Automated Driving and Electric Mobility, which partly also cover specific mechatronics reserach questions, research at the Institute of Measurement, Control and Microtechnology also covers methods for mechatronics systems in general. For example, this includes reserach in the areas of medical robotics, combustion engines, and testing machines. These application areas pose questions to our methodological research in the areas of Modelling, Identification & Diagnosis as well as modern control methods. Considering the non-linearities as well as the real-time implementation of predictive control strategies, e.g. model-predictive control, play an important role in this reserach.