Inhalt der Lehrveranstaltung:

Data and model based control of nonlinear systems

1.     Basics of nonlinear systems identification

2.     Modern methods for the modeling of systems by kernel and regression methods

3.     Design of Experiments for Linear and Nonlinear Systems

4.     Nonlinear model predictive control

5.     Plug and Control approaches for nonlinear systems

The course will contain both theoretical aspects and practical applications from the research activities of the institute (engine emissions, artificial pancreas, autonomous vehicles)