As indicated in the 2024-2028 GDR MACS roadmap, data-driven methods are on the rise in the control community, thanks in particular to recent advances based on the use of AI (reinforcement learning, representation of a system by an “informative” trajectory thanks to the Willems lemma and the methods derived from it). In automatic control, data-driven approaches are particularly interesting when the construction of a model is complex, and their development could enable to broaden the range of applications for control. Data-driven analysis methods have also been developed to analyse the resulting closed loops.
This topic is of growing interest to the international community, and the objective of this workshop is to gather the GDR MACS members developing such data-driven approaches. This workshop is part of a GDR MACS funded action. We are counting on this workshop to get a picture of the research and teaching activities on this topic at the french national level, and to initiate a national dynamic on these subjects.
The workshop will take place at ENSEEIHT in Toulouse on September 3Oth and October 1st. The program can be found on the event webpage, as well as the registration form (free but mandatory).
The workshop will also be broadcasted as a webinar : https://cnrs.zoom.us/j/96742092576?pwd=KMR6V9Bic6HavARis3fQtVYFIuGjSZ.1
