"Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent ..."

Michael Meindl et al. (2022)

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DOI: 10.1109/TCST.2021.3109646

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type: Journal Article

metadata version: 2025-03-03

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Michael Meindl, Fabio Molinari, Dustin Lehmann, Thomas Seel:
Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks. IEEE Trans. Control. Syst. Technol. 30(4): 1390-1402 (2022)

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