If you made any changes in Pure these will be visible here soon.

Personal profile

Quote

Control is the hidden technology that ensures our engineered systems actually work. The key question is what the performance limits of such controlled engineered systems are. We aim to find out by developing a framework that learns from data to control systems to the limits of their reproducible behavior.

Research profile

We focus on learning from data in dynamical systems. This allows us to analyze their dynamical behavior and improve it through active control. Our activities range from data-driven modeling of dynamical systems, control of complex and uncertain systems, towards learning using sequential design of inputs for both improving the identified model quality and control performance. We are actively engaged in both fundamental and applied research. Regarding the latter, we take particular interest in developing key technologies for real-life applications, typically in close collaboration with industry. Our main application area lies in advanced motion control of mechatronic systems. These applications are complemented by collaborations on thermo-mechanical systems, automotive applications, medical applications, and energy systems. 

Academic background

Tom Oomen received his MSc and PhD degree from the Eindhoven University of Technology, Eindhoven, The Netherlands. He has held long-term visiting positions at KTH, Stockholm, Sweden, and at The University of Newcastle, Australia, in addition to numerous short visits to international research centers. He is a recipient of both the VENI (2013) and VIDI (2017) personal research grants. He is a senior member of the IEEE, and is presently Associate Editor of IFAC Mechatronics and the IEEE Control Systems Letters (L-CSS). He has been Associate Editor on the IEEE Conference Editorial Board, as well as special issue guest editor for IFAC Mechatronics. He regularly organizes special sessions at international conferences, as well as workshops for academia and industry. He is a member of the Next-Gen board of the High-Tech Systems Center (HTSC) and the Eindhoven Young Academy of Engineering (EYAE).

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2003 2019

6 Citations

Advanced motion control for precision mechatronics: control, identification, and learning of complex systems

Oomen, T., 1 Jan 2018, In : IEEJ Journal of Industry Applications. 7, 2, p. 127-140 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Mechatronics
Motion control
Large scale systems
Identification (control systems)
Mechanics
69 Citations

Connecting system identification and robust control for next-generation motion control of a wafer stage

Oomen, T. A. E., Herpen, van, R. M. A., Quist, S. J., Wal, van de, M. M. J., Bosgra, O. H. & Steinbuch, M., 2014, In : IEEE Transactions on Control Systems Technology. 22, 1, p. 102-118 17 p.

Research output: Contribution to journalArticleAcademicpeer-review

Motion control
Robust control
Identification (control systems)
Throughput
Controllers
23 Citations

System identification for achieving robust performance

Oomen, T. A. E. & Bosgra, O. H., 2012, In : Automatica. 48, 9, p. 1975-1987 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Identification (control systems)
Robust control
Controllers
Hinges
Factorization
3 Citations

Sparse iterative learning control with application to a wafer stage: achieving performance, resource efficiency, and task flexibility

Oomen, T. A. E. & Rojas, C. R., 1 Nov 2017, In : Mechatronics. 47, p. 134-147 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

Mechatronics
Deterioration
Sampling
7 Citations

Bi-orthonormal polynomial basis function framework with applications in system identification

van Herpen, R., Bosgra, O. & Oomen, T. A. E., Nov 2016, In : IEEE Transactions on Automatic Control. 61, 11, p. 3285-3300

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Identification (control systems)
Polynomials
Polynomial approximation
Rational functions

Prizes

Student theses

A non-parametric approach to robust multivariable learning control

Author: Langen, J., 30 Aug 2018

Supervisor: Oomen, T. (Supervisor 1) & de Rozario, R. (Coach)

Student thesis: Master

Combining iterative learning control and repetitive control: application to an industrial wide format printing setup

Author: Roumen, G., 26 May 2016

Supervisor: Blanken, L. (Supervisor 1), Heertjes, M. (Supervisor 2), Koekebakker, S. (Supervisor 2), Oomen, T. (Supervisor 2) & Steinbuch, M. (Supervisor 2)

Student thesis: Master

Data-driven adjoint-based iterative learning control for multivariable systems

Author: Kleinendorst, S., 31 Aug 2015

Supervisor: Bolder, J. (Supervisor 1) & Oomen, T. (Supervisor 2)

Student thesis: Master

Design and modeling for multivariable iterative learning control: application to an industrial flatbed printer

Author: Willems, J., 29 Aug 2016

Supervisor: Blanken, L. (Supervisor 1), Goswami, D. (Supervisor 2), Koekebakker, S. (Supervisor 2), Oomen, T. (Supervisor 2) & Steinbuch, M. (Supervisor 2)

Student thesis: Master

Enhanced motion feedforward tuning exploiting IV-identification: with extension to input shaping

Author: van Breugel, L., 30 Nov 2013

Supervisor: Boeren, F. (Supervisor 1), Bruijnen, D. (External coach), Heertjes, M. (Supervisor 2), Oomen, T. (Supervisor 2) & Steinbuch, M. (Supervisor 2)

Student thesis: Master