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"item_title" : "Iterative Learning Control for Multi-Agent Systems Coordination",
"item_author" : [" Shiping Yang", "Jian-Xin Xu", "Xuefang Li "],
"item_description" : "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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Iterative Learning Control for Multi-Agent Systems Coordination
Overview
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
This item is Non-Returnable
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Details
- ISBN-13: 9781119189046
- ISBN-10: 1119189047
- Publisher: Wiley-IEEE Press
- Publish Date: June 2017
- Dimensions: 9.6 x 6.4 x 0.7 inches
- Shipping Weight: 1.2 pounds
- Page Count: 272
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