NDLI: Cluster consensus in networks of agents with weighted cooperative-competitive interactions via nonlinear protocols

Content Provider	IEEE Xplore Digital Library
Author	Meng Zhou Jingyuan Zhan Xiang Li
Copyright Year	2015
Description	Author affiliation: Adaptive Networks & Control Lab., Fudan Univ., Shanghai, China (Meng Zhou; Jingyuan Zhan; Xiang Li)
Abstract	In this paper, we consider the consensus problem of networks of agents with weighted cooperative-competitive interactions via nonlinear protocols. Each agent in the multi-agent system is endowed with a value representing its intrinsic interaction property, based on which, the cooperative-competitive interaction weights are decided. Two types of nonlinear protocols with weighted cooperative-competitive interactions are proposed. By using Lyapunov function method, it is proved that these protocols lead to cluster consensus, and the agents are in the same cluster if and only if their interaction properties are the same. Several numerical examples are presented to demonstrate the effectiveness of the theoretical results.
Starting Page	7108
Ending Page	7112
File Size	164230
Page Count	5
File Format	PDF
ISBN	9789881563897
ISSN	19341768
DOI	10.1109/ChiCC.2015.7260764
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Technical Committee on Control Theory, Chinese Association of Automation
Subject Keyword	Nonlinear protocol Protocols Laplace equations Network topology Switches Cluster consensus Topology Weighted cooperative-competitive interactions Multi-agent systems Convergence
Content Type	Text
Resource Type	Article

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