Four invited sessions on Learning-based Control at top control conference

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Four invited sessions on the research topic of "Learning-based Control" have been accepted at the IEEE Conference on Decision and Control (CDC) to be held December 13 to 15, 2021 as a virtual conference. The CDC is recognized as the leading international conference on automatic control. In four sessions, scientists from top international universities and research labs will be presenting their latest research at the intersection of machine learning and automatic control. The sessions are co-organized by Sebastian Trimpe (RWTH Aachen University), Angela Schöllig (Univ. of Toronto), Melanie Zeilinger (ETH Zürich), and Matthias Müller (Univ. Hannover).

Learning-based Control has become the "hot topic" at CDC

Because of the relevance of data-based techniques and machine learning in the area of automatic control, Sebastian Trimpe had initiated and co-organized the first edition of invited sessions on "Learning-based Control" at CDC already in 2016. Starting with a single session in 2016, the sessions have been held every year and become increasingly popular at the conference. In recent years, the sessions were among the most popular of the entire conference with participants lining up in front of the conference rooms to listen to the talks. This year, there will be four sessions with a total of 24 presentations from top research labs around the world.

More information on the Learning-based Control session will be available on the CDC 2021 website soon.

Information on the sessions of previous years is summarized at Invited Session Series on Learning-based Control.