Organization profile

Introduction / mission

Our mission is to train next-generation students to understand and predict 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.

Highlighted phrase

Designing and realizing smart autonomous systems for the industry and society

Organisational profile

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.

Building on this foundation, our second focal point is on “making autonomous systems smarter”. To this end, we develop both model- and data-based sensing, planning, and learning and control technologies to provide autonomous systems with the intelligence needed to guarantee performance, robustness, and safety.

Combining the investigation on both dynamics and control theory in one section allows to take on these challenges standing in a privileged position. In particular, it enables us to educate uniquely skilled engineers and researchers as well as to valorize our research together with the high-tech, automotive and energy sectors.

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Profiles

Ivo J.B.F. Adan

i.adan@tue.nl

Department of Industrial Engineering & Innovation Sciences, Operations Planning Accounting & Control - Full Professor
Department of Mechanical Engineering, Dynamics and Control - Full Professor

Person: HGL : Professor

Mohsen Alirezaei

m.alirezaei@tue.nl

Department of Mechanical Engineering, Dynamics and Control - Assistant Professor

Person: UD : Assistant Professor

Anahita Amiri, MSc

a.amiri@tue.nl

Person: Prom. : doctoral candidate (PhD)

Research Output

Capacity analysis of sequential zone picking systems

van der Gaast, J., de Koster, M. B. M., Adan, I. J. B. F. & Resing, J. A. C., 1 Jan 2020, In : Operations Research. 68, 1, p. 161-179

Research output: Contribution to journal › Article › Academic › peer-review

2 Downloads (Pure)

Conformal slip-free wafer chucking using an actuated wafer table

Hermanussen, S. J., Habets, M. B. I., Heertjes, M. F. & Vermeulen, J. P. M. B., 10 Feb 2020, 2019 7th International Conference on Control, Mechatronics and Automation (ICCMA). Piscataway: Institute of Electrical and Electronics Engineers, p. 278-282 5 p. 8988610

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review