0000003684 21S 4SWS VI Optimization for Control Engineering   Hilfe Logo

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Allgemeine Angaben
Optimization for Control Engineering 
lecture with integrated exercises
Summer semester 2021
Chair of Automatic Control Engineering (Prof. Buss)
(Contact information)
Allocations: 1 
Angaben zur Abhaltung
Introduction - Static Optimization: Minimization of scalar and vector functions with/without equality and/or inequality constraints; gradient- and non-gradient-based methods; least-squares; convex optimization; linear programming; numerical algorithms. - Dynamic Optimization: Variational calculus; minimum-principle; dynamic programming; numerical methods. - Applications: control and filter design
Fundamentals of control engineering and advanced knowledge in mathematics.
After taking the course students are able to analyse a technical problem and to formalize it as a mathematical optimization problem. The students are able to select an appropriate numerical method, to apply it, and even to develop it further. As basis for the numerical application, students understand the most important results from the mathematical theory. Also they are able to solve simple problems of optimization analytically.
  • German
  • English

In SS2019 lecture will be in German and tutorials in English.
Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren.
Lecture work sheets and
M. Papageorgiou, M. Leibold, M. Buss, "Optimierung". Springer Vieweg, 4. Auflage, 2015.
Online information
e-learning course (moodle)