Springer Impulsive Synchronization of Complex Dynamical Networks: Modeling, Control and Simulations

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. From the Back Cover 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. About the Author 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 a