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