Research 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.
Meet some of our Researchers
Most important project
ERC Advanced Research Project - Data-Driven Modeling in Dynamic Networks https://www.sysdynet.eu/
Recent Publications
Our most recent peer reviewed publications
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Local identification in diffusively coupled linear networks
(2023) -
Message passing-based system identification for NARMAX models
(2023) -
NARX Identification using Derivative-Based Regularized Neural Networks
(2023) -
Single module identifiability in linear dynamic networks with partial excitation and measurement
IEEE Transactions on Automatic Control (2023) -
Optimal Control of Active Cell Balancing: Extending the Range and Useful Lifetime of a Battery Pack
IEEE Transactions on Control Systems Technology (2022)
Contact
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Visiting address
FluxGroene Loper 195612 AP EindhovenNetherlands -
Postal address
P.O. Box 513Department of Electrical Engineering5600 MB EindhovenNetherlands