Machine Learning for Modelling and Control

  • Groene Loper 19, Flux

    5612 AP Eindhoven

    Netherlands

  • P.O. Box 513, Department of Electrical Engineering

    5600 MB Eindhoven

    Netherlands

Organization profile

Introduction / mission

Focus on data-driven modelling (identification) and control of complex physical/chemical systems, in particular in the high-tech and process technology domains.

Organisational profile

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.

Fingerprint Dive into the research topics where Machine Learning for Modelling and Control is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Identification (control systems) Engineering & Materials Science
Scheduling Engineering & Materials Science
Model predictive control Engineering & Materials Science
Support vector machines Engineering & Materials Science
Controllers Engineering & Materials Science
Model structures Engineering & Materials Science
Nonlinear systems Engineering & Materials Science
Impulse response Engineering & Materials Science

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

Research Output 2012 2019

Active compensation of the deformation of a magnetically levitated mover of a planar motor

Custers, C., Proimadis, I., Jansen, J. W., Butler, H., Toth, R., Lomonova, E. & Van den Hof, P., 2019, 2019 IEEE International Electric Machines & Drives Conference (IEMDC). Piscataway: Institute of Electrical and Electronics Engineers, p. 854-861 8785302

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
commutation
coils
flexible bodies
translators
stators

Data-driven modelling of dynamical systems using tree adjoining grammar and genetic programming

Khandelwal, D., Schoukens, M. & Toth, R., 1 Jun 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, p. 2673-2680 8 p. 8790250

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Nonlinear dynamical systems
Genetic programming
Genetic Programming
Data-driven
Grammar

Activities 2016 2018

  • 2 Editorial activity

Measurement: Journal of the International Measurement Confederation (Journal)

Maarten Schoukens (Editorial board member)
Jan 2018 → …

Activity: Publication peer-review and editorial work typesEditorial activityScientific

Mechanical Systems and Signal Processing (Journal)

Maarten Schoukens (Guest editor)
20162018

Activity: Publication peer-review and editorial work typesEditorial activityScientific

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

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

Nonlinear tracking and rejection using linear parameter-varying control

Author: Koelewijn, P., 2018

Supervisor: Toth, R. (Supervisor 1)

Student thesis: Master