Prof. Dr.-Ing. O. Stursberg
M.Sc. Vincent Schmidtke

To learn about principles and properties of control systems in which the control function adjusts itself and online to changes of the process to be controlled; to understand the theoretical concepts and limits of these controllers, as well as important properties like stability and robustness; adopt the ability to design adaptive and predictive controllers for applications from different domains.

• Introduction into time-varying systems
• Model identification
• Basic principles of predictive controllers
• Predictive control for linear systems
• Stability and robustness of predictive control systems
• Predictive control of nonlinear systems
• Basic principles of adaptive control
• Self-tuning adaptive controllers
• Model reference-adaptive control
• Gain scheduling

• Lecture Material
• K.J. Aström, B. Wittenmark: Adaptive Control, 1995
• J.M. Maciejowski: Predictive Control with Constraints, 2001
• S. Grüne, L. Pannek: Nonlinear Model Predictive Control, 2011

Content of the courses Grundlagen der Regelungstechnik (Fundamentals of Control) und Lineare Regelungssysteme (Linear Control Systems).

3 L + 1 T,  6 Credit Points

(L: lecture hours per week, T: tutorial hours per week)

The course is offered in the winter semester; the examination in the winter and summer semester (in English only).

Note that the submission of a homework solution is mandatory for admittance to the exam.

FB16 - 4056

Master of Electrical Engineering

Master of Mechatronics

(open as elective course within other programs)