ADAPTIVE CONSENSUS PROTOCOL FOR NETWORKS OF MULTIPLE AGENTS WITH NONLINEAR DYNAMICS USING NEURAL NETWORKS

Yang Liu; Yingmin Jia

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ADAPTIVE CONSENSUS PROTOCOL FOR NETWORKS OF MULTIPLE AGENTS WITH NONLINEAR DYNAMICS USING NEURAL NETWORKS

机译：ADAPTIVE CONSENSUS PROTOCOL FOR NETWORKS OF MULTIPLE AGENTS WITH NONLINEAR DYNAMICS USING NEURAL NETWORKS

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摘要

In this paper, an adaptive protocol is proposed to solve the consensus problem of multi-agent systems with high-order nonlinear dynamics by using neural networks (NNs) to approximate the unknown nonlinear system functions. It is derived that all agents achieve consensus if the undirected interaction graph is connected, and the transient performance of the multi-agent system is also investigated. It shows that the adaptive protocol and the consensus analysis can be easily extended to switching networks by the existing LaSalle's Invariance Principle of switched systems. A numerical simulation illustrates the effectiveness of the proposed consensus protocol.

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来源
《Asian Journal of Control: Affiliated with ACPA, the Asian Control Professors' Association》 |2012年第5期|1328-1339|共12页
作者
Yang Liu; Yingmin Jia;
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作者单位

Seventh Research Division and the Department of Systems and Control, Beihang University;

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原文格式 PDF
正文语种英语
中图分类自动控制理论;
关键词
Multi-agent system; Nonlinear dynamics; Neural network (NN); Adaptive consensus protocol;

ADAPTIVE CONSENSUS PROTOCOL FOR NETWORKS OF MULTIPLE AGENTS WITH NONLINEAR DYNAMICS USING NEURAL NETWORKS

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