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"We need to develop logic engines that can autonomously interact with our applications and to improve their control actions to achieve the desired behavior, by fusing data-driven learning and model-based control engineering."

Research profile

Roland Tóth is Associate Professor in the Control Systems Group in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). His research interest is in identification and control of physical/chemical systems based on the concept of Linear Parameter-Varying (LPV) models. These models can be imagined as an intermediate step between the well understood framework of Linear Time-Invariant (LTI) systems and the vast universe of nonlinear and time-varying phenomena we experience in practice. One of his main objectives is to bring LPV systems to practical use, through research projects varying from theoretical investigations of hardcore issues of the LPV system theory to practical identification and control of industrial applications.  

In addition, Tóth works on the fusion of system identification, control and machine learning methods to develop automated data-driven modeling and controller design approaches for linear/nonlinear systems. The methods are designed to automatically construct dynamical models that capture user-specified aspects of system behavior. In terms of control, policies/algorithms are automatically synthesized by these methods to realize a desired behavior of a system by manipulating its actuators. 

Tóth is an Associate Editor of the IEEE Transactions on Control Systems Technology and the International Journal of Robust and Nonlinear Control. 

Academic background

Roland Tóth obtained his BSc in Electrical Engineering and MSc degree in Information Technology cum laude from the University of Pannonia (Hungary) in 2004. In 2008, he completed his PhD in Control Engineering at the Delft University of Technology (TU Delft), also cum laude. From 2008 to 2010, Tóth worked as a postdoctoral researcher at TU Delft while also working on a research project for Philips Apptech. In 2010, he joined the University of California (USA) for a postdoc project, before returning to the Netherlands in 2011 to become Assistant Professor at TU Delft. Tóth joined Eindhoven University of Technology as Assistant Professor in 2012 and was promoted to Associate Professor in 2018.

Affiliated with

  • DISC (National Graduate School for Systems and Control) 

  • DATA SCIENCE CENTER

Partners in (semi-)industry : 

  • ASML 

  • ALTEN 

  • Avular 

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Projects

Research Output

State-space LPV model identification using kernelized machine learning

Rizvi, S. Z., Velni, J. M., Abbasi, F., Tóth, R. & Meskin, N., 1 Feb 2018, In : Automatica. 88, p. 38-47 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

  • 11 Citations (Scopus)
    3 Downloads (Pure)

    Towards efficient identification of linear parameter-varying state-space models

    Cox, P. B., 20 Mar 2018, Eindhoven: Technische Universiteit Eindhoven. 341 p.

    Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

    Open Access
    File
  • Direct learning of LPV controllers from data

    Formentin, S., Piga, D., Tóth, R. & Savaresi, S. M., 1 Mar 2016, In : Automatica. 65, p. 98-110

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 14 Citations (Scopus)
    173 Downloads (Pure)

    A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study

    Bachnas, A. A., Toth, R., Mesbah, A. & Ludlage, J. H. A., 2014, In : Journal of Process Control. 24, 4, p. 272-285 14 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 47 Citations (Scopus)
    11 Downloads (Pure)

    Modeling and identification of linear parameter-varying systems

    Toth, R., 2010, Berlin: Springer. 325 p. (Lecture notes in control and information sciences; vol. 403)

    Research output: Book/ReportBookAcademic

  • 133 Citations (Scopus)

    Prizes

  • Courses

    Robust control

    1/09/15 → …

    Course

    Student theses

    Advanced adaptive space discretization for special element method applied to electromechanical devices

    Author: Geerlofs, M., 30 Aug 2018

    Supervisor: Lomonova, E. (Supervisor 1), Wijnands, K. (Supervisor 2), Krop, D. (Supervisor 2), Toth, R. (Supervisor 2) & Curti, M. (Supervisor 2)

    Student thesis: Master

    Control-oriented linear parameter-varying modelling of a 3DOF control moment gyroscope

    Author: Bak, H., 30 Apr 2016

    Supervisor: Toth, R. (Supervisor 1) & Weiland, S. (Supervisor 2)

    Student thesis: Master

    Data-driven linear parameter-varying predictive control for process systems

    Author: Hanema, J., 30 Aug 2014

    Supervisor: Toth, R. (Supervisor 1)

    Student thesis: Master

    Linear parameter varying control of nonlinear systems

    Author: Sharif, B., 30 Aug 2018

    Supervisor: Toth, R. (Supervisor 1) & Mazzoccante, G. S. (Supervisor 2)

    Student thesis: Master

    Modeling and observer desing for the prediction of wafer table temperature distributions

    Author: Kou, W., 31 Aug 2013

    Supervisor: Weiland, S. (Supervisor 1), Heemels, W. (Supervisor 2) & Toth, R. (Supervisor 2)

    Student thesis: Master