Global Adaptive Control of A Class of Uncertain Nonlinear Systems Using Neural Networks

作     者：Chen Pengnian1,Qin Huashu2,Sun Mingxuan3 1.Department of Mathematics,China Institute of Metrology,Hangzhou 310018,P.R.China 2.Institute of Systems Science,The Chinese Academy of Sciences,Beijing 100080,P.R.China 3.College of Information Engineering,Zhejiang Univewrsity of Technology,Hangzhou 310014,P.R.China 

会议名称：《第二十七届中国控制会议》

会议日期：2008年

学科分类：0711[理学-系统科学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 08[工学] 081104[工学-模式识别与智能系统] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Nature Science Foundation under Grant 60674023 

关 键 词：Nonlinear system Adaptive control Neural network 

摘      要：The paper considers the problem of global adaptive tracking for a class of uncertain nonlinear systems in which the uncertainty is impossible to be *** the help of the technique of unit partition in differential topology,a result on global approximation of function using neural networks is *** the result,a method of global adaptive neural network control for the uncertain nonlinear system is *** method ensures that the tracking error converges to an arbitrarily given small neighborhood of *** the tracked signal is constant,the tracking error converges to zero.