ITERATIVE LEARNING CONTROL FOR MULTI-AGENT SYSTEMS COORDINATION

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 Author: Shiping Yang, Jian-Xin Xu, and Xuefang Li National University of Singapore Dong Shen Beijing University of Chemical Technology, P.R. China