Num Pages: 272 pages. BIC Classification: TH; TJ. Category: (P) Professional & Vocational. Dimension: 251 x 176 x 46. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . .

N� de ref. del art�culo V9781119189046

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Detalles bibliogr�ficos

T�tulo: Iterative Learning Control for Multi-agent Systems Coordination
Editor: John Wiley & Sons Inc
Fecha de publicaci�n: 2017
Idioma: Ingl�s
ISBN 10: 1119189047
ISBN 13: 9781119189046
Encuadernaci�n: Encuadernaci�n de tapa dura
Edici�n: 1� Edici�n
Estado: New

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Sinopsis

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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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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