Model Predictive Control

SS 2018

Lecturer: Dr.-Ing. Matthias Müller
Credits: 3.5V, 0.5Ü

Lecturer Dr.-Ing. Matthias Müller

Teaching Assistant Johannes Köhler

Start: Thursday, April 12th, 2018

Content

This lecture deals with Model Predictive Control (mpc), a modern control concept which 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 tube-based mpc considering robustness issues, economic mpc, distributed mpc, and stochastic mpc are discussed.

Lecture time and place (3.5h lecture, 0.5h exercise)
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

Prerequisites

  •  "Einführung in die Regelungstechnik" (ERT) and "Konzepte der Regelungstechnik" (KRT), or equivalent lectures.

Literature

  • J. B. Rawlings and D. Q. Mayne, Model Predictive Control: Theory and Design, Nob Hill, 2009. Publisher Link

 

The course is given in English.

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