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This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths.
A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications* Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS)* Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes* Covers basic theory, rigorous mathematics as well as engineering practice
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