Model Predictive Control

SS 2023

Lecturer: Dr.-Ing. Julian Berberich
Scope: 3.5L, 0.5E
Credits: 6

General information



"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



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.


The exam will be a written closed-book exam (i.e., keine Hilfsmittel!) and will last 90 minutes.


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

This image shows Julian Berberich

Julian Berberich


Lecturer (akademischer Rat)

This image shows Yifan Xie

Yifan Xie


Research Assistant

To the top of the page