Control Systems
The research field of CS is the area of dynamic modelling and model-based control of complex dynamic systems.
Enabling smart, high-performance operation of technical systems across technology domains
The mission of the group is to be an internationally recognized centre of research in systems and control, where contributions to fundamental theory are combined with advancing innovative technological applications in a selected number of domains, in cooperation with relevant industrial partners. The fundamental research of CS is directed towards the following research lines:
• Data-driven modelling in dynamic networks
• Modelling and control of linear parameter varying systems
• Spatial-temporal multi-physics systems and model reduction
• Data analytics and machine learning
• Constrained and interconnected systems
• Model-based control and optimization
• Control of cyber-physical systems
Our Labs
Work with us!
All scientific as well as non-scientific vacancies are centrally cataloged by the Electrical Engineering department and can be found here.
Meet some of our Researchers
Innovation
Control Systems has four main application domains: High Tech Systems, Automotive, Process industry and Energy. In each of these domains CS collaborates with leading companies contributing our fundamental knowledge to their innovation roadmaps. Often these companies are dominant market players, sometimes world leaders. With most of them CS has already built up a relationship over many years.
Below you can find the listing of most of our industry partners, a description of the innovation topics and a link to project details.
Some of our projects
News
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Project Related Publications
Our most recent peer reviewed publications
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Victor Daniel Reyes Dreke,Mircea Lazar
Practical deadbeat MPC design via controller matching with applications in power electronics
European Journal of Control (2023) -
Zhiqiang Chen,Dmitri L. Danilov,Rüdiger A. Eichel
Reaction-rate distribution at large currents in porous electrodes
Journal of Power Sources (2023) -
G.I. Beintema,Maarten Schoukens,Roland Tóth
Deep subspace encoders for nonlinear system identification
Automatica (2023) -
M. Bolderman,S. Koekebakker,H. Butler,M. Lazar
Physics-guided neural networks for inversion-based feedforward control applied to hybrid stepper motors
(2023) -
Suchakree Tubtimkuna,Dmitri L. Danilov,Montree Sawangphruk
Review of the Scalable Core–Shell Synthesis Methods
Small Methods (2023)
Education
Check out all our courses
The Control Systems group teaches courses in the BSc and MSc programs of Electrical Engineering and Automotive Engineering, in the MSc program Systems and Control of Mechanical Engineering, and in the PhD program of the Dutch Institute of Systems and Control (DISC).
In practically all our research projects there are ample opportunities to do your Bachelor's or Master's projects. For a current overview, please have a look at the links to the TU/e marketplace.
Contact
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Visiting address
FluxGroene Loper 195612 AP EindhovenNetherlands -
Postal address
P.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlands -
Postal address
P.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlands -
Secretary