Welcome

2025 Spring School on Data-driven Model Learning of Dynamic Systems

Dates: Monday 7 April 2025 (beginning of the afternoon) - Friday 11 April 2025 (noon)

The Spring School consists of a five-days PhD course on data-based modeling (system identification) covering both the fundamentals and more advanced topics.

After two editions held in Nancy in 2017 and in 2018, one in Ecully in 2019, two virtual editions in 2021 and 2022 (due to the coronavirus pandemic) and two hybrid editions in Ecully in 2023 and in 2024, the 2025-edition will be the eighth edition of the Spring School on Data-driven Model Learning of Dynamic Systems.

Like in 2023 and 2024, the 2025-edition will be held in hybrid mode. Participants can thus attend the Spring School in person (on the campus of Ecole Centrale de Lyon) or virtually.

For this purpose, we will make use of the brandnew lecture hall of Ecole Centrale de Lyon that is completely dedicated to hybrid teaching. This lecture hall is located in the SKYLAB of Ecole Centrale (see here and here for more details and a video about this facility).

Like in the previous editions, the 2025-edition will welcome an international guest lecturer.

INVITED GUEST LECTURER FOR THE 2025-EDITION

Prof. Håkan HJALMARSSON, KTH Stockholm, Sweden

presenting a course entitled

 Dynamic model learning

 Biography of the guest lecturer: Håkan Hjalmarsson was born in 1962. He received the M.S. degree in Electrical Engineering in 1988, and the Licentiate degree and the Ph.D. degree in Automatic Control in 1990 and 1993, respectively, all from Linköping University,  Sweden.  He has held visiting research positions at California Institute of Technology, Louvain University and at the University of Newcastle, Australia.  He has served as an Associate Editor for Automatica (1996-2001), and IEEE Transactions on Automatic Control (2005-2007) and been Guest Editor for European Journal of Control and Control Engineering Practice. He is Professor at the School of Electrical Engineering, KTH, Stockholm, Sweden. He is an IEEE Fellow and past Chair of the IFAC Coordinating  Committee CC1 Systems and Signals. In 2001 he received the KTH award for outstanding contribution to undergraduate education. His research interests include system identification, signal processing, control and estimation in communication networks and automated tuning of controllers.