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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).

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Research Output

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
  • 28 Citations (Scopus)
    11 Downloads (Pure)

    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

  • 85 Citations (Scopus)
    6 Downloads (Pure)

    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
  • 26 Citations (Scopus)
    134 Downloads (Pure)

    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

  • 10 Citations (Scopus)
    4 Downloads (Pure)

    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
  • 8 Citations (Scopus)
    91 Downloads (Pure)

    Prizes

    Courses

    Advanced motion control

    1/09/15 → …

    Course

    Control Engineering

    1/09/15 → …

    Course

    Learning control

    1/09/19 → …

    Course

    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

    Characterization and control of a deformable mirror for adaptive optics

    Author: Wildschut, J., 15 Sep 2015

    Supervisor: Steinbuch, M. (Supervisor 1), Witvoet, G. (Supervisor 2), Oomen, T. (Supervisor 2) & Heertjes, M. (Supervisor 2)

    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

    Communication-angle iterative learning control with iteration-varying non-equidistant data points: enhancing Piezo-Stepper actuator waveforms

    Author: Aarnoudse, L., 26 Nov 2019

    Supervisor: Strijbosch, N. (Supervisor 1), Verschueren, E. (External person) (External coach) & Oomen, T. A. (Supervisor 2)

    Student thesis: Master

    File

    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