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Author:   Qikun Shen
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Volume:   11
ISBN:  

9789819974283

ISBN 10:   9819974283
Pages:   185
Publication Date:   03 November 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Chapter 1 Introduction.- Chapter 2 Distributed Cooperative Neural Fault-Tolerant Sliding Mode Control against Actuator Faults.- Chapter 3 Distributed Cooperative Fuzzy Fault-Tolerant Backstepping Control Against Dead-Zone and Saturation.- Chapter 4 Distributed Neural Fault-Tolerant Supervisory Control AgainstBacklash-Like Hysteresis.- Chapter 5 Distributed Fuzzy Fault-Tolerant Output Consensus Control Against Unknown Nonlinear Dead-Zone.- Chapter 6 Adaptive Fault-Tolerant Consensus Control Against Transmission Faults.- Chapter 7 Cooperative Fault-tolerant Neural Control Against Signal Transmission Faults.- Chapter 8 Distributed Fault-tolerant Output-Feedback Control Against Sensor Faults.- Chapter 9 Conclusion and Future Research Directions

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Author Information

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.

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