Iterative Learning Control for Multi-agent Systems Coordination
Wiley IEEE | English | May 30 2017 | ISBN-10: 1119189047 | 272 pages | PDF | 13.19 mb
by Shiping Yang (Author), Jian-Xin Xu (Author), Xuefang Li (Author), Dong Shen (Author)

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


Written by experienced researchers, Iterative Learning Control for Multi-agent Systems Coordination will appeal to researchers and graduate students of multi-agent systems. Industrial practitioners whose work involves system engineering, system control, system biology, and computing science will also find it useful.

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

Download File Size:11.55 MB

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