Dynamics and Control
Our mission is to perform top-level research and train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, and learning strategies which are at the core of the intelligent autonomous systems of the future.
Designing and realizing smart autonomous systems for the industry and society
Autonomous vehicles, fully automated industrial value chains, high-tech systems, collaborative robots in unstructured environments, intelligent medical devices, automated transportation networks, soft robotics, together with sustainable automotive technology are key examples of the broad application domain of the Dynamics and Control section.
The design of these systems requires a thorough understanding of their underlying dynamics. Therefore, the first focal point of our research is on both data-based and first-principles-based modelling, model complexity management, and dynamic analysis of complex, multi-physics and multi-disciplinary engineering systems.
Our groups
Our research themes
The group of Dynamics and Control has the following research themes:
Meet our full-time faculty members
Meet our part-time faculty members
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Student oppurtunities
The Dynamics & Control group actively participates in the TU/e Bachelor college and Graduate School. The members of D&C are responsible for many courses at BSc and MSc level, in the Master programs of ME, AT, S&C and AI&ES. Every year approximately 55 students finish their Master program within our group. D&C also participates in the EngD Automotive Systems Design program as well as in the interuniversity research institute DISC.
For more information of D&C about their projects and collaborations and about the Master courses:
Recent Publications
Our most recent peer reviewed publications
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Yazan M. Al-Rawashdeh,Mohammad Al Janaideh,Marcel F. Heertjes
A suppress-excite approach for online trajectory generation of uncertain motion systems
Mechanical Systems and Signal Processing (2023) -
J.J. Kon,Dennis Bruijnen,Jeroen van de Wijdeven,Marcel Heertjes,Tom Oomen
Unifying model-based and neural network feedforward
61st IEEE Conference on Decision and Control, CDC 2022 (2023) -
Ricky J.R. van Kampen,Matthijs van Berkel,Hans Zwart
Estimating Space-Dependent Coefficients for 1D Transport Using Gaussian Processes as State Estimator in the Frequency Domain
IEEE Control Systems Letters (2023) -
M.J. Jongeneel,Alessandro Saccon
Geometric Savitzky-Golay Filtering of Noisy Rotations on SO(3) with Simultaneous Angular Velocity and Acceleration Estimation
(2022) -
M.J. Jongeneel,Alessandro Saccon
Learning Suction Cup Dynamics from Motion Capture: Accurate Prediction of an Object's Vertical Motion during Release
(2022)
Job opportunities
Join our research team and be part of the thriving community at Eindhoven University of Technology!
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Our laboratories
The Dynamics and Control section is operating the following laboratories in the Mechanical Engineering Department, in collaboration with the section Control Systems Technology.
Meet our Technicians
Contact
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Postal address
Gemini-Zuid 0.143PO BOX 5135600 MB EindhovenNetherlands -
Visiting address
Den Dolech 25612 AZ EindhovenNetherlands -