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Disagreement behavior analysis of signed networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Disagreement behavior analysis of signed networksby Deyuan Meng, Mingjun Du, Yuxin Wu.
Author:	Meng, Deyuan.
other author:	Du, Mingjun.
Published:	Singapore :Springer Nature Singapore :2022.
Description:	xi, 228 p. :ill. (some color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	System analysis.
Online resource:	https://doi.org/10.1007/978-981-19-5530-3
ISBN:	9789811955303$q(electronic bk.)

Disagreement behavior analysis of signed networks
Meng, Deyuan.

Disagreement behavior analysis of signed networks[electronic resource] /by Deyuan Meng, Mingjun Du, Yuxin Wu. - Singapore :Springer Nature Singapore :2022. - xi, 228 p. :ill. (some color), digital ;24 cm. - Intelligent control and learning systems,v. 52662-5466 ;. - Intelligent control and learning systems ;v. 3..

Chapter 1 Overview of signed networks -- Chapter 2 Preliminaries -- Chapter 3 Interval bipartite consensus -- Chapter 4 Bipartite containment tracking -- Chapter 5 Local disagreement characterization -- Chapter 6 Finite/fixed-time bipartite consensus -- Chapter 7 Analysis of dynamic signed networks -- Chapter 8 Analysis of mixed-order signed networks -- Chapter 9 Concluding remarks.

This book investigates the disagreement behavior analysis problems for signed networks in the presence of both cooperative and antagonistic interactions among agents. Owing to the existing antagonistic interactions, signed networks exhibit a variety of disagreement behaviors subject to different topology conditions, especially in comparison with commonly considered unsigned networks involving only cooperative interactions among agents. Since signed networks are generally adopted to describe the dynamics of some practical network systems, they have attracted much attention in many areas, such as biology, sociology, economics, and politics. By focusing on agents with the first-order linear dynamics, the book establishes the systematic behavior analysis frameworks for signed networks, under which diverse disagreement behaviors have been disclosed, including both convergence and fluctuation behaviors, regardless of static or dynamic network topologies. In particular, a class of dynamic signed networks has been introduced, together with the associated dynamic distributed controller design and disagreement behavior analysis of agents. This book is intended for undergraduate and graduate students, engineers, and researchers who are interested in control of network systems, multi-agent systems, social networks, and so on.

ISBN: 9789811955303$q(electronic bk.)

Standard No.: 10.1007/978-981-19-5530-3doiSubjects--Topical Terms:

182013
System analysis.

LC Class. No.: T57.6

Dewey Class. No.: 004.21

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520 $a This book investigates the disagreement behavior analysis problems for signed networks in the presence of both cooperative and antagonistic interactions among agents. Owing to the existing antagonistic interactions, signed networks exhibit a variety of disagreement behaviors subject to different topology conditions, especially in comparison with commonly considered unsigned networks involving only cooperative interactions among agents. Since signed networks are generally adopted to describe the dynamics of some practical network systems, they have attracted much attention in many areas, such as biology, sociology, economics, and politics. By focusing on agents with the first-order linear dynamics, the book establishes the systematic behavior analysis frameworks for signed networks, under which diverse disagreement behaviors have been disclosed, including both convergence and fluctuation behaviors, regardless of static or dynamic network topologies. In particular, a class of dynamic signed networks has been introduced, together with the associated dynamic distributed controller design and disagreement behavior analysis of agents. This book is intended for undergraduate and graduate students, engineers, and researchers who are interested in control of network systems, multi-agent systems, social networks, and so on.
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