Iterative Learning Control for Multi-agent Systems Coordination
Shiping Yang, Xuefang Li, Jian-Xin Xu, Dong Shen
ISBN 10: 1119189047 ISBN 13: 9781119189046
Published by John Wiley and Sons Inc, US, 2017
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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. Seller Inventory # LU-9781119189046
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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
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
"About this title" may belong to another edition of this title.
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Title: Iterative Learning Control for Multi-agent ...
Publisher: John Wiley and Sons Inc, US
Publication Date: 2017
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Iterative Learning Control for Multi-agent Systems Coordination (Hardcover)
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Hardcover. Condition: new. Hardcover. 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 "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"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781119189046
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Iterative Learning Control for Multi-agent Systems Coordination (Hardcover)
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Hardcover. Condition: new. Hardcover. 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 "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"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781119189046
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