Distributed data-driven iterative learning control for multi-agent systems with unknown input-output coupled parameters
This article studies a distributed data-driven iterative learning control (ILC) strategy based on the identified input–output coupled parameters (IOCPs) to address the consensus trajectory tracking problem of discrete time-varying multi-agent systems (MASs). First, by leveraging the repeatability of...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-02-01
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| Series: | Electronic Research Archive |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/era.2025039 |
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