Distributed Consensus Control Using Neural Network for a Class of Nonlinear Multi-agent Systems

被引：0

作者：

Wen, Guo-Xing ^{[1
]}

Chen, C. L. Philip ^{[1
]}

机构：

[1] Univ Macau, Dept Comp & Informat Sci, FST, Macau, Peoples R China

来源：

PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2012年

关键词：

consensus control; neural network; multi-agent network; TRACKING;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we described a class of nonlinear multi-agent dynamic systems in consensus problem which every agent is multi-dimensional dynamic system. The control objective is expect to find suitable consensus controller for every agent such that 1) guarantee all the signals in the dynamic systems remain bounded. 2) design the consensus controllers for every agent then the average-consensus behavior of the multi-agent systems can be obtained.

引用

页码：2591 / 2595

页数：5

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