General information
Lecturer
Assistants
Prerequisites
"Einführung in die Regelungstechnik" (ERT) and "Konzepte der Regelungstechnik" (KRT), or equivalent lectures.
Lecture time and place
- The lectures and exercises will take place at the following dates:
- Thursday: 14:00-15:30, V9.41
- Friday: 09:45-11:15, V9.41
Content
This lecture deals with Model Predictive Control (MPC), a modern control concept that has been actively researched and widely applied in industry in the last years. After an introduction to the basic ideas and stability concepts of MPC, more recent and current advances in research, like robust MPC, economic MPC, and data-driven MPC are discussed.
Exam
The exam will be a written closed-book exam (i.e., keine Hilfsmittel!) and will last 90 minutes.
Literature
J. B. Rawlings, D. Q. Mayne, and M. Diehl, Model Predictive Control: Theory, Computation, and Design, Nob Hill, 2020. Publisher Link
L. Grüne, and J. Pannek, Nonlinear Model Predictive Control: Theory and Algorithm, Springer International Publishing, 2017. Publisher Link
Julian Berberich
Dr.-Ing.Lecturer (Akademischer Rat)
Yifan Xie
M.Sc.Research Assistant