Dynamic Networks: Data-Driven Modeling and Control

  • Groene Loper 19, Flux

    5612 AP Eindhoven

    Netherlands

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

    5600 MB Eindhoven

    Netherlands

Organization profile

Introduction / mission

We develop methods and tools for the modeling of dynamic networks on the basis of operational data, to be used as a basis for model-based operations as surveillance, detection, monitoring and control.

Organisational profile

Demands on engineering systems require the ability to monitor and optimize the behavior of dynamic systems that are interconnected as networks of systems. We develop methods and tools for the modeling of dynamic networks on the basis of operational data, to be used as a basis for model-based operations as surveillance, detection, monitoring and control. For this purpose we build on contributions from the fields of system identification, machine learning, data science and dynamic systems & control. Potential domains of applications include distributed (smart) power systems, industrial production processes, transportation networks and high-tech mechatronic systems.

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

Research Output 2011 2020

Heterogeneously parameterized tube model predictive control for LPV systems

Hanema, J., Lazar, M. & Tóth, R., 1 Jan 2020, In : Automatica. 111, 13 p., 108622

Research output: Contribution to journalArticleAcademicpeer-review

Model predictive control
Parameterization
Costs

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

A distributed optimization approach for complete vehicle energy management

Romijn, T. C. J., Donkers, M. C. F., Kessels, J. T. B. A. & Weiland, S., May 2019, In : IEEE Transactions on Control Systems Technology. 27, 3, p. 964-980

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Energy management
Trucks
Climate control
Convex optimization
Fuel consumption

Activities 2013 2018

  • 5 Contributed talk
  • 2 Editorial activity
  • 2 Invited talk
  • 1 Workshop, seminar, course or exhibition

Measurement: Journal of the International Measurement Confederation (Journal)

Maarten Schoukens (Editorial board member)
Jan 2018 → …

Activity: Publication peer-review and editorial work typesEditorial activityScientific

55th IEEE Conference on Decision and Control (CDC 2016), 12-14 December 2016, Las Vegas, USA

Harm Weerts (Speaker)
12 Dec 201614 Dec 2016

Activity: Talk or presentation typesContributed talkScientific

25th European Research Network System Identification (ERNSI) Workshop, 25-28 September 2016, Cison di Valmarino, Italy

Harm Weerts (Participant)
25 Sep 201628 Sep 2016

Activity: Participating in or organising an event typesWorkshop, seminar, course or exhibitionScientific

Press / Media

News Archive thru 2008

Xiaodong Cheng

8/07/15

1 item of media coverage

Press/Media: Expert Comment

Student theses

Adaptive friction compensation for an industrial coreless linear motor setup

Author: van den Boom, P., 13 Dec 2018

Supervisor: Nguyen, T. (Supervisor 1), Lazar, M. (Supervisor 2) & Butler, H. (Supervisor 2)

Student thesis: Master

A fast nonlinear MPC solver for real-time control of linear motors

Author: Riera Segui, A., 2018

Supervisor: Lazar, M. (Supervisor 1) & Nguyen, T. (Supervisor 2)

Student thesis: Master

Centralized and distributed identified model based predictive control for Museum Hermitage Amsterdam

Author: Chen, X., 22 Mar 2019

Supervisor: Lazar, M. (Supervisor 1), Ludlage, J. (Supervisor 2), Van den Hof, P. (Supervisor 2) & Lefeber, E. (Supervisor 2)

Student thesis: Master