Our approach is strongly based on a novel synergy between model-based and data-driven (learning) methods
The research focuses on the modelling and control of complex engineering systems in the fields of high-tech systems, manufacturing, cyber-physical and networked systems, autonomous and cooperative driving and medical applications.
Two main scientific challenges are addressed:
1. How to develop algorithmic techniques for the modelling, prediction, planning, sensing, estimation and control to ensure safe autonomy and certified performance of engineering systems?
2. How to develop systematic modelling, analysis, and synthesis tools that allow us to tackle the inherent (multi-physics) complexity of designing and operating engineering systems?
The approach to these research themes is strongly based on a novel synergy between model-based and data-driven (learning) methods
Meet our faculty members
Meet our researchers
Meet our researchers
Our themes
The group of Dynamics and Control has the following research themes
Contact
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Visiting address
Gemini-Zuid, room 0.143Den Dolech 25612 AZ EindhovenNetherlands -
Visiting address
Gemini-Zuid, room 0.143Den Dolech 25612 AZ EindhovenNetherlands -
Postal address
Department of Mechanical EngineeringP.O. Box 5135600 MB EindhovenNetherlands -
Postal address
Department of Mechanical EngineeringP.O. Box 5135600 MB EindhovenNetherlands -
Secretarysecretariat.dc@ tue.nl
Recent Publications
Our most recent peer reviewed publications
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Modular redesign of mechatronic systems
Mechatronics (2024) -
Mode selection for component mode synthesis with guaranteed assembly accuracy
Journal of Sound and Vibration (2024) -
Reduced-order modeling of modular, position-dependent systems with translating interfaces
Mechatronics (2024) -
Improving breathing effort estimation in mechanical ventilation via optimal experiment design
IFAC Journal of Systems and Control (2024) -
Analysis of sampled-data hybrid integrator-gain systems
Automatica (2024)