Disagreement Behavior Analysis of Signed Networks (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Intelligent Control and Learning Systems, 5
Release date:	December 2022
First published:	2022
Authors:	Deyuan Meng • Mingjun Du • Yuxin Wu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	228
Edition:	1st ed. 2022
ISBN-13:	978-981-19-5529-7
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Social sciences > Sociology, social studies > Social institutions > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	981-19-5529-8
Barcode:	9789811955297

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