Projecten per jaar
Organisatieprofiel
Introductie / missie
Focus on data-driven modelling (identification) and control of complex physical/chemical systems, in particular in the high-tech and process technology domains.
Over de organisatie
The research activities aim at efficiently addressing modelling and control of nonlinear/time-varying behavior of systems in these domains by developing a fusion of system identification, control and machine learning methods. The resulting methods automatically construct dynamical models capturing user specified aspects of the system behavior. In terms of control, policies/algorithms are automatically synthesized that realize a desired behavior of a system by manipulating its actuators. A strong emphasis is put on data-driven structural exploration of the underlying system dynamics, like identification of structured nonlinear systems, and data-driven synthesis of control polices. In this exploration, learning the associated model accuracy/control performance versus complexity trade-off plays an important role. Another focus of the research activities is the development of automated methods that use of surrogate models with linear, but varying dynamical representation concepts, such as linear parameter-varying models, to facilitate technological evolution of currently wide-spread methodologies based on the linear time-invariant framework in engineering.
Vingerafdruk
Netwerk
Profielen
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Tom A.H. Bloemers, MSc
- Department of Electrical Engineering, Control Systems - Promovendus
- Department of Electrical Engineering, Machine Learning for Modelling and Control
Persoon: Prom. : Promovendus
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Dhruv Khandelwal, MSc
- Department of Electrical Engineering, Machine Learning for Modelling and Control
- Department of Electrical Engineering, Control Systems - ex Promovendus
Persoon: Prom. : Promovendus, Onbekend
projecten
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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.
1/01/18 → 31/12/22
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., Sadeghzadeh, A., Nawijn, H., Iacob, L., Cox, P. B. & van der Hagen, D.
1/09/17 → 31/08/22
Project: Onderzoek direct
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ERC Grant PvdHof SYSDYNET
Van den Hof, P. M. J., Van den Hof, P. M. J., Haesaert, S., Kivits, E. M. M. (., Shi, S., 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.
1/09/16 → 31/08/21
Project: Onderzoek direct
Onderzoeksoutput
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Feedback identification of conductance-based models
Burghi, T. B., Schoukens, M. & Sepulchre, R., jan 2021, In : Automatica. 123, 13 blz., 109297.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
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Nonlinear state-space identification using deep encoder networks
Beintema, G. I., Schoukens, M. & Tóth, R., 2021, (Ingediend).Onderzoeksoutput: Bijdrage aan congres › Paper › Academic
Bestand -
Non-linear State-space Model Identification from Video Data using Deep Encoders
Beintema, G. I., Schoukens, M. & Tóth, R., 2021.Onderzoeksoutput: Bijdrage aan congres › Paper › Academic
Bestand
Datasets
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Parallel Wiener-Hammerstein Time Series
Schoukens, M. (Ontwerper), 4TU.ResearchData, 15 sep 2020
DOI: 10.4121/12950081, https://doi.org/10.4121/12950081
Dataset
Activiteiten
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ECC (Uitgeverij/uitgevend instituut)
Maarten Schoukens (Lid redactieraad)
2019 → …Activiteit: Types publicaties van collegiale toetsing en redactioneel werk › Redactioneel werk › Wetenschappelijk
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IEEE-CSS (Uitgeverij/uitgevend instituut)
Maarten Schoukens (Lid redactieraad)
2019 → …Activiteit: Types publicaties van collegiale toetsing en redactioneel werk › Redactioneel werk › Wetenschappelijk
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3rd IFAC Workshop on Linear Parameter-Varying Systems
Maarten Schoukens (Organisator)
2019Activiteit: Types deelname aan of organisatie van een evenement › Congres › Wetenschappelijk
Knipsels
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-Eindhoven University of Technology: Nanometer accuracy: development of high-precision motion systems
Hans Butler & Ioannis Proimadis
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
Dhruv Khandelwal & Maarten Schoukens
5/03/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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Helping non-experts create mathematical models through natural selection
4/03/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
Scripties/Masterproeven
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Advanced adaptive space discretization for special element method applied to electromechanical devices
Auteur: Geerlofs, M., 30 aug 2018Begeleider: Lomonova, E. (Afstudeerdocent 1), Wijnands, K. (Afstudeerdocent 2), Krop, D. (Afstudeerdocent 2), Toth, R. (Afstudeerdocent 2) & Curti, M. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
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Linear parameter varying control of nonlinear systems
Auteur: Sharif, B., 30 aug 2018Begeleider: Toth, R. (Afstudeerdocent 1) & Mazzoccante, G. S. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
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Nonlinear tracking and rejection using linear parameter-varying control
Auteur: Koelewijn, P., 2018Begeleider: Toth, R. (Afstudeerdocent 1)
Scriptie/Masterproef: Master