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Collective Behavior in Complex Networked Systems under Imperfect Communication

This book aims to explain how collective behavior is formed via local interactions under imperfect communication in complex networked systems. It also presents some new distributed protocols or algorithms for complex networked systems to comply with bandwidth limitation and tolerate communication de...

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Main Authors: Lu, Jianquan. (Author, http://id.loc.gov/vocabulary/relators/aut), Li, Lulu. (http://id.loc.gov/vocabulary/relators/aut), Ho, Daniel W.C. (http://id.loc.gov/vocabulary/relators/aut), Cao, Jinde. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Subjects:
Application software.
Physics.
System theory.
Information Systems Applications (incl. Internet).
Applications of Graph Theory and Complex Networks.
Systems Theory, Control.
Online Access:https://doi.org/10.1007/978-981-16-1506-1
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.

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