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Iterative learning control for multi...

Yang, Shiping, (1987-)

Iterative learning control for multi-agent systems coordination /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Iterative learning control for multi-agent systems coordination // Shiping Yang ... [et al.].
other author:	Yang, Shiping,
Published:	Singapore :John Wiley & Sons, Inc., : 2017.,
Description:	x, 246 p. :ill. ; : 25 cm.;
Subject:	Multiagent systems. -
ISBN:	9781119189046 (cloth) :

Iterative learning control for multi-agent systems coordination /
Iterative learning control for multi-agent systems coordination /Shiping Yang ... [et al.]. - Singapore :John Wiley & Sons, Inc.,2017. - x, 246 p. :ill. ;25 cm.

Includes bibliographical references and index.

"This book gives a comprehensive overview of the intersection between ILC and MAS, the range of topics include basic to advanced theories, rigorous mathematics to engineering practice, and linear to nonlinear systems. It addresses the crucial multi-agent coordination and control challenges that can be solved by ILC methods. Through systematic discussion of network theory and intelligent control, the authors explore future research possibilities, develop new tools, and provide numerous applications such as the power grid, communication and sensor networks, intelligent transportation system, and formation control. Readers will gain a roadmap to the latest advances in the fields and use their newfound knowledge to design their own algorithms"--

ISBN: 9781119189046 (cloth) :NT3931

LCCN: 2016052027Subjects--Topical Terms:

745736
Multiagent systems.

LC Class. No.: TJ217.5 / .Y36 2017

Dewey Class. No.: 629.8/9

Iterative learning control for multi-agent systems coordination /
LDR:01385cam a2200205 a 4500 001 877349
005 20170928152015.0
008 171205s2017 si a b 001 0 eng
010 $a 2016052027
020 $a 9781119189046 (cloth) : $c NT3931
035 $a 19393600
040 $a DLC $b eng $c NFU
041 0 $a eng
042 $a pcc
050 0 0 $a TJ217.5 $b .Y36 2017
082 0 0 $a 629.8/9 $2 23
245 0 0 $a Iterative learning control for multi-agent systems coordination / $c Shiping Yang ... [et al.].
260 $a Singapore : $b John Wiley & Sons, Inc., $c 2017.
300 $a x, 246 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references and index.
520 $a "This book gives a comprehensive overview of the intersection between ILC and MAS, the range of topics include basic to advanced theories, rigorous mathematics to engineering practice, and linear to nonlinear systems. It addresses the crucial multi-agent coordination and control challenges that can be solved by ILC methods. Through systematic discussion of network theory and intelligent control, the authors explore future research possibilities, develop new tools, and provide numerous applications such as the power grid, communication and sensor networks, intelligent transportation system, and formation control. Readers will gain a roadmap to the latest advances in the fields and use their newfound knowledge to design their own algorithms"-- $c Provided by publisher.
650 0 $a Multiagent systems. $3 745736
650 0 $a Machine learning. $3 561253
650 0 $a Iterative methods (Mathematics) $3 528050
650 0 $a Intelligent control systems. $3 557331
700 1 $a Yang, Shiping, $d 1987- $3 1128827