We want an internationally leading role in research, combined with inspiring education, valorisation through spin-off companies, and direct co-operation with industry.
Our overall research strategy is focused on performance-driven design and control. The performance of a controlled system is defined as the extent to which the actual behaviour of the system matches the intended behaviour, while being subject to disturbances acting on the system and variations in system dynamics. Performance requirements can be related, for instance, to the accurate tracking of a set-point (motion) or to the energy utilisation (hybrid vehicles). Fundamental properties that determine and possibly limit performance can be found in both external sources (disturbances acting on the system) and internal sources (system properties, controller properties, quality of sensors and actuators etc.). Only by an integrated design of both the mechatronic (hardware) system and the (software) controller the highest performance requirements can be achieved.
Read moreResearch lines
The research in our group is structured in 7 research lines. Click on the following links to learn more about each topic.
Meet some of our Researchers
Past seminars and events
Research projects
The Control Systems Technology group is currently working on the following research project:
Our laboratories
The Control Systems Technology group shares the following laboratory facilities in the Mechanical Engineering Department
Recent Publications
Our most recent peer reviewed publications
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A suppress-excite approach for online trajectory generation of uncertain motion systems
Mechanical Systems and Signal Processing (2023) -
Model-based impurity emission front control using deuterium fueling and nitrogen seeding in TCV
Nuclear Fusion (2023) -
Frequency Domain Identification of Multirate Systems
61st IEEE Conference on Decision and Control, CDC 2022 (2023) -
Uncertain uncertainty in data-driven stochastic optimization
61st IEEE Conference on Decision and Control, CDC 2022 (2023) -
Cross-coupled iterative learning control for complex systems
61st IEEE Conference on Decision and Control, CDC 2022 (2023)
Contact
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Postal address
Postbus 5135600 MB EindhovenNetherlands -
Secretarycst@ tue.nl