Search Results for author: Dustin Lehmann

Found 1 papers, 0 papers with code

Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks

no code implementations15 Apr 2021 Michael Meindl, Fabio Molinari, Dustin Lehmann, Thomas Seel

We show that the proposed method allows the collective to combine the advantages of the agents' individual learning strategies and thereby overcomes trade-offs and limitations of single-agent ILC.

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