Xuefang Li – författare
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5 produkter
Iterative Learning Control for Multi-agent Systems Coordination
Av Dong Shen, Xuefang Li m. fl.
E-bok, 2017
1727 kr
Lägg i varukorg
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) …
Iterative Learning Control for Multi-agent Systems Coordination
Av Dong Shen, Xuefang Li m. fl.
E-bok, 2017
1727 kr
Lägg i varukorg
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) …
Iterative Learning Control for Systems with Iteration-Varying Trial Lengths
Synthesis and Analysis
Av Dong Shen, Xuefang Li
Inbunden, 2019
1534 kr
Lägg i varukorg
This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might …
Iterative Learning Control for Systems with Iteration-Varying Trial Lengths
Synthesis and Analysis
Av Xuefang Li, Dong Shen
E-bok, 2019
1948 kr
Lägg i varukorg
This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might …
Iterative Learning Control for Multi-agent Systems Coordination
Av Shiping Yang, Jian-Xin Xu m. fl.
Inbunden, 2017
1211 kr
Tillfälligt slut
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 …