This master course is part of the mechatronics module and focuses on Automatic Control using sampled data systems.
Simulation and feedback control techniques are essential for the design and development of mechatronic products. Sophisticated software tools make it easy to design and test control algorithms for complex systems. Methods like Rapid Control Prototyping reduce costs and time in the development.
The aim is to gain mathematical and engineering skills in the analysis, simulation and control of complex dynamic mechatronic systems. The module will enable students to apply tools of advanced simulation and feedback control techniques. Working on examples in selected engineering areas leads to a comprehensive knowledge.
Simulation and feedback control techniques are essential for the design and development of mechatronic products. Sophisticated software tools make it easy to design and test control algorithms for complex systems. Methods like Rapid Control Prototyping reduce costs and time in the development.
The aim is to gain mathematical and engineering skills in the analysis, simulation and control of complex dynamic mechatronic systems. The module will enable students to apply tools of advanced simulation and feedback control techniques. Working on examples in selected engineering areas leads to a comprehensive knowledge.
- Dozent/in: Carsten Markgraf
The topic State Space Control is a part of the module Advanced Control Theory in the Master of Engineering in Mechatronic Systems
- Dozent/in: Florian Kerber
- Dozent/in: Carsten Markgraf
- Dozent/in: Franz Raps
- Dozent/in: Thomas Schmidberger
- Dozent/in: Ulrich Wohlfarth
- Dozent/in: Christoph Zeuke
- Dozent/in: Benjamin Danzer
- Dozent/in: Thomas Schmidberger
Electric Power Systems
- Dozent/in: Hermann Koch
- Dozent/in: Christine Schwaegerl
- Dozent/in: Christine Lichtblau
- Dozent/in: Christoph Zeuke

- Dozent/in: Björn Backes-Eckert
- Dozent/in: Alexander Frey
- Dozent/in: Matthias Kamuf
- Dozent/in: Mariam Melikidze
- Dozent/in: Friedrich Beckmann
- Dozent/in: Johann Färber
- Dozent/in: Matthias Kamuf