Research Output per year
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.
Fingerprint Dive into the research topics where Dynamic Networks: Data-Driven Modeling and Control is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Model predictive control
Engineering & Materials Science
Lyapunov functions
Engineering & Materials Science
Controllers
Engineering & Materials Science
Linear systems
Engineering & Materials Science
Identification (control systems)
Engineering & Materials Science
Nonlinear systems
Engineering & Materials Science
Stabilization
Engineering & Materials Science
Dynamical systems
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Xiaodong Cheng, MSc
- Department of Electrical Engineering, Control Systems - Postdoc
- Department of Electrical Engineering, Dynamic Networks: Data-Driven Modeling and Control
Person: PD : Postdoc
M.C.F. (Tijs) Donkers
- Department of Electrical Engineering, Control Systems - Assistant Professor
- Department of Electrical Engineering, Dynamic Networks: Data-Driven Modeling and Control
- Department of Electrical Engineering, Dynamics and Control for Electrified Automotive Systems
- Department of Electrical Engineering, Autonomous Motion Control Lab
- Department of Electrical Engineering, Cyber-Physical Systems Center Eindhoven
Person: UD : Assistant Professor
H.J. (Mannes) Dreef
- Department of Electrical Engineering, Control Systems - Doctoral Candidate
- Department of Electrical Engineering, Dynamic Networks: Data-Driven Modeling and Control
Person: Prom. : doctoral candidate (PhD)
Research Output 2011 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., May 2019, 2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019. Piscataway: Institute of Electrical and Electronics Engineers, p. 854-861 8 p. 8785302Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-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 17 p., 8267501.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
Energy management
Trucks
Climate control
Convex optimization
Fuel consumption
A dynamic network approach to identification of physical systems
Kivits, E. M. M. L. & van den Hof, P. M. J., 11 Dec 2019.Research output: Contribution to conference › Paper › Academic
Directed graphs
Transfer functions
Topology
Activities 2013 2018
Measurement: Journal of the International Measurement Confederation (Journal)
Maarten Schoukens (Editorial board member)Jan 2018 → …
Activity: Publication peer-review and editorial work types › Editorial activity › Scientific
55th IEEE Conference on Decision and Control (CDC 2016), 12-14 December 2016, Las Vegas, USA
Harm Weerts (Speaker)12 Dec 2016 → 14 Dec 2016
Activity: Talk or presentation types › Contributed talk › Scientific
25th European Research Network System Identification (ERNSI) Workshop, 25-28 September 2016, Cison di Valmarino, Italy
Harm Weerts (Participant)25 Sep 2016 → 28 Sep 2016
Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
Press / Media
Local module identification in dynamic networks with correlated noise: the full input case. (arXiv:1809.07502v2 [cs.SY] UPDATED)
26/03/19
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 2018Supervisor: 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., 2018Supervisor: 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 2019Supervisor: Lazar, M. (Supervisor 1), Ludlage, J. (Supervisor 2), Van den Hof, P. (Supervisor 2) & Lefeber, E. (Supervisor 2)
Student thesis: Master