Distributed Fault-Tolerant Consensus Control of Leader-Following Systems: Based on Adaptive Control Approach: 11 - Brossura

Shen, Qikun

 
9789819974283: Distributed Fault-Tolerant Consensus Control of Leader-Following Systems: Based on Adaptive Control Approach: 11
Brossura
ISBN 10: 9819974283 ISBN 13: 9789819974283
Casa editrice: Springer, 2024

Sinossi

This book provides recent theoretical results and applications of the consensus control for nonlinear leader-following systems. Combining adaptive control technique, fuzzy logic systems, neural networks with the other control techniques or approaches, this book investigates the consensus control problem of leader-following systems and proposes the corresponding control scheme. This book intends to provide the readers a good understanding on consensus control based on adaptive control technology. This book can serve as a reference for the main research issues and results on nonlinear multi-agent systems including leader-following systems for researchers devoting to various areas of control theory, as well as a material for graduate and undergraduate students interested in nonlinear multi-agent systems including leader-following systems and their applications. Some prerequisites for reading this book include nonlinear system theory, matrix theory, mathematics, basic graph theory, and soon.

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Informazioni sull?autore

Dr. Qikun Shen received his B.Sc. degree in computer science and applications from the Chinese University of Mining and Technology, Xuzhou, China, in 1996, an M.Sc. degree in computer science and applications from Yangzhou University, Yangzhou, China, in 2007, and a Ph.D. degree in control theorem and control applications from the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2015. He is currently a professor with the College of Information Engineering, Yangzhou University.
 
He focuses on the research of dynamical systems including multi-agent systems. His current research interests include distributed control, consensus control, fault-tolerant control, adaptive control, fuzzy control, neural networks-based control, and intelligent control. Since 2007, Dr. Shen has published 100 peer-reviewed technical papers in international journals and conferences. He was a recipient of the 2018 Wu Wenjun Science and Technology Award. Since 2020, he is also selected as Elsevier Most Cited Chinese Researchers.

Dalla quarta di copertina

This book provides recent theoretical results and applications of the consensus control for nonlinear leader-following systems. Combining adaptive control technique, fuzzy logic systems, neural networks with the other control techniques or approaches, this book investigates the consensus control problem of leader-following systems and proposes the corresponding control scheme. This book intends to provide the readers a good understanding on consensus control based on adaptive control technology. This book can serve as a reference for the main research issues and results on nonlinear multi-agent systems including leader-following systems for researchers devoting to various areas of control theory, as well as a material for graduate and undergraduate students interested in nonlinear multi-agent systems including leader-following systems and their applications. Some prerequisites for reading this book include nonlinear system theory, matrix theory, mathematics, basic graph theory, and soon.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
9819974283
ISBN 13 
9789819974283
Rilegatura
Copertina flessibile
Numero di pagine
204
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Germania

Altre edizioni note dello stesso titolo

9789819974252: Distributed Fault-tolerant Consensus Control of Leader-following Systems: Based on Adaptive Control Approach: 11

Edizione in evidenza

ISBN 10:  9819974259 ISBN 13:  9789819974252
Casa editrice: Springer Nature, 2023
Rilegato