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 processesCovers basic theory, rigorous mathematics as well as engineering practice.

N� de ref. del art�culo LU-9781119189046

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Detalles bibliogr�ficos

T�tulo: Iterative Learning Control for Multi-agent Systems Coordination
Editor: John Wiley and Sons Inc, US
Fecha de publicaci�n: 2017
Idioma: Ingl�s
ISBN 10: 1119189047
ISBN 13: 9781119189046
Encuadernaci�n: Hardback
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