Distributed Consensus of Nonlinear Multi-Agent Systems on State-Controlled Switching Topologies

This paper considers the consensus problem of nonlinear multi-agent systems under switching directed topologies. Specifically, the dynamics of each agent incorporates an intrinsic nonlinear term and the interaction topology may not contain a spanning tree at any time. By designing a state-controlled...

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Bibliographic Details
Main Authors: Kairui Chen, Junwei Wang, Yun Zhang
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/18/1/29
Description
Summary:This paper considers the consensus problem of nonlinear multi-agent systems under switching directed topologies. Specifically, the dynamics of each agent incorporates an intrinsic nonlinear term and the interaction topology may not contain a spanning tree at any time. By designing a state-controlled switching law, we show that the multi-agent system with the neighbor-based protocol can achieve consensus if the switching topologies jointly contain a spanning tree. Moreover, an easily manageable algebraic criterion is deduced to unravel the underlying mechanisms in reaching consensus. Finally, a numerical example is exploited to illustrate the effectiveness of the developed theoretical results.
ISSN:1099-4300