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Disagreement Behavior Analysis of Signed Networks : Intelligent Control and Learning Systems - Deyuan Meng

Disagreement Behavior Analysis of Signed Networks

By: Deyuan Meng, Yuxin Wu, Mingjun Du

Paperback | 3 December 2023

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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.
Industry Reviews
"The investigations of this monograph help to understand the basic properties of signed networks and the dynamic evolutions and disagreement behaviors of them, under which some instructive disagreement behavior analysis approaches are given. Several simulation examples illustrating the behavior of signed networks with different number of agents are presented." (Petko Hr. Petkov, zbMATH 1514.93001, 2023)

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