Description
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.
Table of Contents
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
