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Collective Behavior in Complex Networked Systems under Imperfect Communication

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Collective Behavior in Complex Networked Systems under Imperfect Communication/ by Jianquan Lu, Lulu Li, Daniel W.C. Ho, Jinde Cao.
作者:	Lu, Jianquan.
其他作者:	Cao, Jinde.
面頁冊數:	XIV, 269 p. 103 illus., 54 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Systems Theory, Control. -
電子資源:	https://doi.org/10.1007/978-981-16-1506-1
ISBN:	9789811615061

Collective Behavior in Complex Networked Systems under Imperfect Communication
Lu, Jianquan.

Collective Behavior in Complex Networked Systems under Imperfect Communication[electronic resource] /by Jianquan Lu, Lulu Li, Daniel W.C. Ho, Jinde Cao. - 1st ed. 2021. - XIV, 269 p. 103 illus., 54 illus. in color.online resource.

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.

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 delays. 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 presents interesting results about bipartite consensus and fixed-time/finite-time bipartite consensus of networks with cooperative and antagonistic interactions.

ISBN: 9789811615061

Standard No.: 10.1007/978-981-16-1506-1doiSubjects--Topical Terms:

669337
Systems Theory, Control.

LC Class. No.: QA76.76.A65

Dewey Class. No.: 005.7

Collective Behavior in Complex Networked Systems under Imperfect Communication
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505 0 $a 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.
520 $a 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 delays. 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 presents interesting results about bipartite consensus and fixed-time/finite-time bipartite consensus of networks with cooperative and antagonistic interactions.
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