Projecten per jaar
Persoonlijk profiel
Quote
"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
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DISC (National Graduate School for Systems and Control)
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DATA SCIENCE CENTER
Partners in (semi-)industry :
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ASML
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ALTEN
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Avular
Expertise gerelateerd aan duurzame ontwikkelingsdoelstellingen van de VN
In 2015 stemden de VN-lidstaten in met 17 wereldwijde duurzame ontwikkelingsdoelstellingen (Sustainable Development Goals, SDG's) om armoede te beëindigen, de planeet te beschermen en voor iedereen welvaart te garanderen. Het werk van deze persoon draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en):
Vingerafdruk
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
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DAMOCLES: Data-Augmented Modeling Of Constitutive Laws for Engineering Systems
Tóth, R., Moradi, S., Nawijn, H., Hendrix, W. H. A., Schoukens, M. & Jaensson, N. O.
1/09/21 → 31/08/25
Project: 1e geldstroom
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TKI-HTSM PPS-toeslag Advanced piezo-electric water stage for next generation lithography and metrology application - ASML project 2: Control architecture and design for a piezo-electric wafer stage
Van den Hof, P. M. J., Bosman Barros, C., Nawijn, H., van der Hagen, D. & Tóth, R.
1/01/18 → 30/11/25
Project: Onderzoek direct
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ERC Grant R. Toth (APROCS)
Tóth, R., Tóth, R., Schoukens, M., Bloemers, T. A. H., Koelewijn, P. J. W., Nawijn, H., Iacob, L. C. & van der Hagen, D.
1/09/17 → 31/03/23
Project: Onderzoek direct
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ERC Grant PvdHof SYSDYNET
Van den Hof, P. M. J., Haesaert, S., Kivits, E. M. M., Weiland, S., Lazar, M., Donkers, M. C. F., Tóth, R., Steentjes, T. R. V., Ramaswamy, K., Ludlage, J. H. A., Dreef, H. J., Cheng, X., Nawijn, H., van der Hagen, D., Fonken, S. J. M. & Shi, S.
1/09/16 → 31/08/22
Project: Onderzoek direct
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CADUSY - Control And Data-driven modeling Using SYmbolic
Van den Hof, P. M. J., Tóth, R., Nawijn, H., Khandelwal, D. & van der Hagen, D.
1/01/16 → 10/01/20
Project: Onderzoek direct
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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, blz. 38-47 10 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
37 Citaten (Scopus)3 Downloads (Pure) -
Towards efficient identification of linear parameter-varying state-space models
Cox, P. B., 20 mrt. 2018, Eindhoven: Technische Universiteit Eindhoven. 341 blz.Onderzoeksoutput: Scriptie › Dissertatie 1 (Onderzoek TU/e / Promotie TU/e)
Open AccessBestand1597 Downloads (Pure) -
Direct learning of LPV controllers from data
Formentin, S., Piga, D., Tóth, R. & Savaresi, S. M., 1 mrt. 2016, In: Automatica. 65, blz. 98-110Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand56 Citaten (Scopus)439 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, blz. 272-285 14 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
89 Citaten (Scopus)12 Downloads (Pure) -
Modeling and identification of linear parameter-varying systems
Toth, R., 2010, Berlin: Springer. 325 blz. (Lecture notes in control and information sciences; vol. 403)Onderzoeksoutput: Boek/rapport › Boek › Academic
210 Citaten (Scopus)
Prijzen
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Automated Linear Parameter-Varying Modeling and Control Synthesis for Nonlinear Complex Systems
Tóth, Roland (Ontvanger), 2016
Prijs: ERC › Starting › Wetenschappelijk
Cursussen
Knipsels
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Advancing control engineering methods to meet current and future challenges
16/02/23
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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-Eindhoven University of Technology: Nanometer accuracy: development of high-precision motion systems
30/04/20
2 items van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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Eindhoven University of Technology: Helping Non-Experts Create Mathematical Models Through Natural Selection
5/03/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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-Eindhoven University of Technology: Helping non-experts create mathematical models through natural selection
4/03/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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Helping non-experts create mathematical models through natural selection
3/03/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar