Collective Behavior in Complex Networked Systems under Imperfect Communication, 1st ed. 2021
Auteurs : Lu Jianquan, Li Lulu, Ho Daniel W.C., Cao Jinde
This book will be of particular interest to the readers due to the benefits: 1) it studies the effect of time delay and quantization on the collective behavior by non-smooth analytical technique and algebraic graph theory; 2) it introduces the event-based consensus method under delayed information transmission; In the meantime, it presents some novel approaches to handle the communication constraints in networked systems; 3) it gives some synchronization and control strategies for complex networked systems with limited communication abilities. Furthermore, it provides a consensus recovery approach for multi-agent systems with node failure. Also, it presentsinteresting results about bipartite consensus and fixed-time/finite-time bipartite consensus of networks with cooperative and antagonistic interactions.
Introduction.- Consensus over Directed Static Networks with Arbitrary Finite Communication Delays.- Practical Consensus of Multi-agent Networks.- Multi-agent Consensus with Quantization and Communication Delays.- Event-based Network Consensus with Communication Delays.- Consensus of Networked Multi-agent Systems with Antagonistic Interactions and Communication Delays.- Finite-time and Fixed-time Bipartite Consensus for Multi-agent Systems with Antagonistic Interactions.- Globally Exponential Synchronization and Synchronizability for General Dynamical Networks.- Pinning Cluster Synchronization in an Array of Coupled Neural Networks under Event-based Mechanism.- Multi-agent Consensus Recovery Approach under Node Failure.- Conclusion and Future Work
Jianquan Lu received the B.S. degree in mathematics from Zhejiang Normal University, Zhejiang, China, in 2003, the M.S. degree in mathematics from Southeast University, Nanjing, China, in 2006, and the Ph.D. degree in applied mathematics from City University of Hong Kong, Hong Kong, in 2009. From 2010 to 2012, he was an Alexander von Humboldt Research Fellow in PIK, Germany. He is currently a professor at the Department of Systems Science, School of Mathematics, Southeast University, Nanjing, China. His current research interests include collective behavior in complex dynamical networks and multi-agent systems, Boolean networks, and hybrid systems. He has published over 100 papers in refereed international journals.
Lulu Li received the B.S. degree in mathematics and applied mathematics from Anhui Normal University, Wuhu, China, in 2007 and the M.S. degree in mathematics from Southeast University, Nanjing, China, in 2010 and the Ph.D. degree from City University of Hong Kong, Hong Kong, in 2013. He is currently an Associate Professor at the School of Mathematics, Hefei University of Technology, Hefei, China. His current research
Date de parution : 07-2022
Ouvrage de 269 p.
15.5x23.5 cm
Date de parution : 07-2021
Ouvrage de 269 p.
15.5x23.5 cm
