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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 

Fingerprint Dive into the research topics where Roland Toth is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Identification (control systems) Engineering & Materials Science
Scheduling Engineering & Materials Science
Model structures Engineering & Materials Science
Support vector machines Engineering & Materials Science
Model predictive control Engineering & Materials Science
Controllers Engineering & Materials Science
Nonlinear systems Engineering & Materials Science
Linear Parameter-varying Systems Mathematics

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

Research Output 2004 2020

5 Citations (Scopus)

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

Learning systems
Identification (control systems)
Scheduling
Hilbert spaces
MIMO systems

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)Academic

Open Access
File
Identification (control systems)
Gasoline
Engines
12 Citations (Scopus)

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
Controllers
Tuning
Scheduling
40 Citations (Scopus)

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

Distillation
Distillation columns
Data-driven
Modeling
Model-based Control
118 Citations (Scopus)

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

System theory
Identification (control systems)
Model structures
Students
Engineers

Prizes

Large scale systems
Innovation
Chemical reactors
Time varying systems
Mechatronics

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), Padiy, A. (External person) (Supervisor 2) & Voss, T. (External person) (Supervisor 2)

Student thesis: Master