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

About the Author:

Shiping Yang, Jian-Xin Xu, and Xuefang Li
National University of Singapore

Dong Shen
Beijing University of Chemical Technology, P.R. China

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