Lizan Kivits has completed her PhD thesis entitled: “Modelling and identification of physical linear networks”. It addresses the problem of data-driven modeling of interconnected linear systems, where the subsystems do not have a prior chosen input - output direction. The networks are therefore characterized by undirected graphs. Examples are mass-spring-damper…
Feb
02
Feb
02
The European Research Council has awarded a ERC Proof-of-Concept Grant for the continued development of the MATLAB Toolbox SYSDYNET. With the awarded budget of 150 KEuro, continuation of the development is funded for a period of 1.5 year. The intention is to develop the software towards a mature tool for…
Jun
09
With about half of the more than 2,200 votes submitted, Karthik Ramaswamy was the convincing winner of the Audience Award. He narrowly missed out on the award for Best PhD Thesis, but here he hit the mark. His research at the Department of Electrical Engineering focused on data-driven models for complex,…
Mar
20
We are happy to announce the launch of the Beta 0.1.0 version of our MATLAB App/Toolbox for structural analysis of dynamic networks for data-driven modeling.
Jun
18
On Thursday June 16, 2022, Tom Steentjes successfully defended his PhD thesis "Data-driven methods for distributed control of interconnected systems" in the Atlas Building of Eindhoven University of Technology.
May
19
The TU/e Cursor published an article on "A guide for experimenters to develop mathematical models of large-scale complex dynamic networks".
Apr
13
On Tuesday May 3 2022, 16:00h, Karthik Ramaswamy will defend his PhD thesis "A guide to learning modules in a dynamic network" in the Atlas building of the TU Eindhoven.
Sep
07
See the news item on the TU/e-website
Jul
28
On 1 September 2021, Shengling Shi has defended his PhD thesis: "Topological Aspects of Linear Dynamic Networks: Identifiability and Identification".
Jul
28
On June 30, 2021, an invited 2-hour tutorial session "Data-driven modeling in dynamic networks" was presented during the 2021 European Control Conference (virtual) from Rotterdam, the Netherlands. Tutorial presentations were delivered by Paul Van den Hof, Xiaodong Cheng, Arne Dankers and Karthik Ramaswamy. Recordings and slides of the session are…
Jul
06
On 8 April 2021, Paul Van den Hof presented a one day invited lecture on Dynamic Network Identification in the 2021 Lyon Spring School. The slides and zoom-recordings are available here. The material covers many aspects ranging from modeling dynamic networks towards identifiability analysis and identification of full networks and…
Jul
13
During the Opening Session of the Virtual 21st IFAC World Congress, Paul Van den Hof was appointed as IFAC Advisor.IFAC Advisors are appointed for life by the President of IFAC; they may be consulted by the active officers on any matter related to the Federation or given special assignments as…
Jun
11
The video of the presentation of the survey contribution: "Single module identification in dynamic networks - the current status", authored by Paul Van den Hof and Karthik Ramaswamy, is available here. This contribution is part of the Open Invited Track "Data-driven modeling and learning in dynamic networks" in the program…
Jun
11
Xiaodong Cheng, postdoc researcher in our research team, has been awarded a Best Paper Award from the IFAC Journal Automatica, for the best paper published in the triennium 2017-2019. The paper dealing with model reduction of dynamic network systems, is a result of his PhD work in RU Groningen: X.…
Feb
12
On Monday 17 February 2020, Paul Van den Hof has given a plenary presentation at the 2020 ACODS Conference, on Advances in Control & Optimization of Dynamical Systems, held at IIT Madras in Chennai, India. Title of the presentation is: "Data-driven model learning in linear dynamic networks".