Content available in repository
Content available in repository
P.O. Box 513
5600 MB Eindhoven
Netherlands
We aim to develop methods to control future engineered systems to their limits of performance.
Many engineered systems have behavior that is very predictable given past measurement data. Our aim is to develop methods for learning, modeling, and control to achieve the limits of performance.
We develop methods to control real machines to the limits of performance by learning from data. Based in the high-tech hotspot Eindhoven, our key application domain is the development of advanced motion control solutions for precision mechatronics. Driven by the challenges occurring in future precision mechatronics, our research focusses on fundamental issues arising in learning to control complex dynamical systems from data with robustness guarantees. As such, it is primarily positioned in the field of system identification and control, intersecting with machine learning, artificial intelligence, and mechatronics. Applications are broadly addressed through collaborations with many companies and institutions in mechatronics, ranging from semiconductor equipment and printing to space and astronomy. In addition, we enjoy many fruitful collaborations with domain experts in the health, energy, and mobility areas.
Person: UD : Assistant Professor
Person: PD : Postdoc
Person: Prom. : doctoral candidate (PhD)
Research output: Contribution to journal › Article › Academic › peer-review
Research output: Contribution to conference › Abstract › Academic
Research output: Contribution to journal › Article › Academic › peer-review
Teurlings, P. (Manager), Knippenberg, S. C. M. (Manager), Hanselaar, C. A. J. (Manager) & Oomen, T. A. E. (Manager)
Dynamics and ControlFacility/equipment: Research lab
Koekebakker, S. (Contributor), Oomen, T. (Contributor) & Blanken, L. (Contributor), Mendeley Data, 26 Apr 2021
Dataset
Oomen, T. A. E. (Recipient), 2021
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Aarnoudse, L. I. M. (Recipient) & Oomen, T. A. E. (Recipient), 4 Oct 2022
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Mooren, N. (Recipient), Witvoet, G. (Recipient), Açan, I. (Recipient), Oomen, T. A. E. (Recipient) & Kooijman, J. (Recipient), 2020
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
González, R. (Visiting researcher)
Activity: Visiting an external institution types › Visiting an external academic institution › Scientific
González, R. (Visiting researcher)
Activity: Visiting an external institution types › Visiting an external academic institution › Scientific
22/08/23
1 item of Media coverage
Press/Media: Expert Comment
Chandra, A., Curti, M., Daniels, B. & Tiels, K.
6/06/23
1 item of Media coverage
Press/Media: Expert Comment
19/10/22
1 item of Media coverage
Press/Media: Expert Comment
Steinbuch, M. (Researcher), Oomen, T. A. E. (Researcher), Tiels, K. (Researcher), van den Eijnden, S. J. A. M. (Researcher), Heertjes, M. F. (Researcher), Witvoet, G. (Researcher) & Blanken, L. L. G. (Researcher)
Impact: Research Topic/Theme (at group level)
Heemels, W. P. M. H. (Researcher), Hanselaar, C. (Content manager), Delimpaltadakis, G. (Content manager) & van den Eijnden, S. J. A. M. (Content manager)
Impact: Research Topic/Theme (at group level)
Student thesis: Master
Student thesis: Master
Student thesis: Master