Design of control law for slowly time varying, uncertain or nonlinear processes (local description depending on the operating point). Such task can be realised with different kind of adaptive controllers. Beside the theory, some practical aspects of the realisation will be considered.

The focus of the course is on the design of advanced controllers for cyber-physical systems, that is, systems in which the controller is an embedded computer that can sense and actuate a physical plant. Advanced computational control strategies like Model Predictive Control, Reinforcement Learning, and Data-Driven control will be covered.

The basic ideas of modelling of dynamical processes will be given. Thereby, the structure of such models as well as numerical methods to obtain parameters of these models will be discussed. Matlab based CAD software packages for identification will be used.