Adaptive consensus protocol for networks of multiple agents with nonlinear dynamics using neural networks

被引：24
作者：
Liu, Yang [1 ,2 ,3 ]
Jia, Yingmin [1 ,2 ,3 ]
机构：
[1] Beihang Univ BUAA, Res Div 7, Beijing 100191, Peoples R China
[2] Beihang Univ BUAA, Dept Syst & Control, Beijing 100191, Peoples R China
[3] Beihang Univ BUAA, Key Lab Math Informat & Behav Semant LMIB, Minist Educ, SMSS, Beijing 100191, Peoples R China
来源：
ASIAN JOURNAL OF CONTROL | 2012年 / 14卷 / 05期
关键词：
Multi-agent system; nonlinear dynamics; neural network (NN); adaptive consensus protocol; LARGE-SCALE SYSTEMS; MULTIAGENT SYSTEMS; SWITCHING TOPOLOGIES; DESIGN; DELAYS; INTERCONNECTIONS; COORDINATION; AGREEMENT;
D O I：
10.1002/asjc.427
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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. Copyright (c) 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society
引用
收藏
页码：1328 / 1339
页数：12
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