Overview

This book is mainly focused on the global impulsive synchronization of complex dynamical networks with different types of couplings, such as general state coupling, nonlinear state coupling, time-varying delay coupling, derivative state coupling, proportional delay coupling and distributed delay coupling. Studies on impulsive synchronization of complex dynamical networks have attracted engineers and scientists from various disciplines, such as electrical engineering, mechanical engineering, mathematics, network science, system engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of network synchronization and the significant influence of impulsive control in the design and optimization of complex networks. The primary audience for the book would be the scholars and graduate students whose research topics including the network science, control theory, applied mathematics, system science and so on.

Full Product Details

Author:   Ze Tang ,  Dong Ding ,  Yan Wang ,  Zhicheng Ji
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2022
Weight:   0.477kg
ISBN:  

9789811653827

ISBN 10:   9811653828
Pages:   182
Publication Date:   04 September 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Parameters Variation-Based Impulsive Synchronization on Derivative Coupled Complex Networks.- Synchronization on Clustered Complex Networks With Proportional Delay: Impulsive Effects Method.- Impulsive Synchronization of Derivative Coupled Complex Networks with Cluster-Tree Topology.- Adaptively Impulsive Synchronize the Derivative Coupled Complex Networks With Proportional Delay.- Distributed Impulsive Quasi-Synchronization of Complex Networks With Proportional Delay.- Impulsive Effects on Quasi-Synchronization of Complex Networks with Parameter Mismatches and Time-Varying Delay.- Impulsive Effects Based Distributed Synchronization of Heterogeneous Coupled Complex Networks.- Impulsive Adaptive Pinning Synchronization of Complex Networks with Cluster-Tree Topology via Parameters Variation Protocols.- Cluster Synchronization of Non-linearly Coupled Complex Networks: Delayed Impulsive Adaptive Control Protocols.- Bibliography.

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Author Information

Dr. Ze Tang received the Ph.D. degree in Electrical Engineering with Yeungnam University, South Korea, in 2017. He joined Jiangnan University, China in 2017 as an Associate Professor. In 2016, he was a Visiting Fellow with the School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, NSW, Australia. His current research interests include complex networks, synchronization control and nonlinear systems.     Mr. Dong Ding received the B.S. degree in Vehicle Engineering with Shanghai Dianji University, China, in 2016. He began his successive postgraduate and doctoral program with Jiangnan University, China, in 2017 and he is currently pursuing the Ph.D. degree. His current research interests include complex dynamic networks, synchronization and control, nonlinear systems.     Dr. Yan Wang was born in 1978 in Yancheng, Jiangsu, and received the Ph.D. in Control Theory and Engineering from Nanjing University of Science and Technology, Nanjing, China, in 2006. She was a visiting scholar from the Department of Electrical and Computer Engineering at Luis Anna State University in the United States from September 2013 to September 2014. She is a Professor and Doctoral Supervisor of the Internet of things Engineering School of Jiangnan University, the Yangtze River Young Scholar of the Ministry of Education and the Outstanding Youth Fund Winner of Jiangsu province.     Dr. Zhicheng Ji was born in 1959 in Ningbo, Zhejiang, and received the Ph.D. in Power Electronics and Transmission from China University of Mining and Technology, Jiangsu, China, in 2004. He was a visiting scholar at the University of Toronto in Canada in 2003. He used to be the vice chancellor of Jiangnan University. He is now a professor and doctoral supervisor of the School of Internet of Things Engineering, Jiangnan University. His current research interests include complex systems, artificial intelligence and workshop scheduling.      Dr. Ju H. Park received the Ph.D. degree in Electronics and Electrical Engineering from Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea, in 1997. From May 1997 to February 2000, he was a Research Associate in Engineering Research Center-Automation Research Center, POSTECH. He joined Yeungnam University, Kyongsan, Republic of Korea, in March 2000, where he is currently the Chuma Chair Professor. He is a coauthor of the monographs “Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals”(New York, NY, USA: Springer Nature, 2018) and “Dynamic Systems With Time Delays: Stability and Control” (New York, NY, USA: Springer Nature, 2019) and is an Editor of an edited volume “Recent Advances in Control Problems of Dynamical Systems and Networks” (New York: Springer Nature, 2020). His research interests include robust control and filtering, neural/complex networks, fuzzy systems, multiagent systems, and chaotic systems. He has published a number of articles in these areas. Prof. Park is a fellow of the Korean Academy of Science and Technology (KAST). Since 2015, he has been a recipient of the Highly Cited Researchers Award by Clarivate Analytics (formerly Thomson Reuters) and listed in three fields, Engineering, Computer Sciences, and Mathematics, in 2019 and 2020. He also serves as an Editor of the International Journal of Control, Automation and Systems. He is also a Subject Editor/Advisory Editor/Associate Editor/Editorial Board Member of several international journals, including IET Control Theory & Applications, Applied Mathematics and Computation, Journal of The Franklin Institute, Nonlinear Dynamics, Engineering Reports, Cogent Engineering, IEEE Transaction on Fuzzy Systems, IEEE Transaction on Neural Networks and Learning Systems, and IEEE Transaction on Cybernetics.  

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