%0 Journal Article
%T Neural Network-Based Adaptive Tracking Control for a Class of Nonlinear Systems<br>基于神经网络的一类非线性系统自适应跟踪控制
%A NIU Yu-gang
%A ZOU Yun
%A YANG Cheng-wu
%A <br>牛玉刚
%A 邹　云
%A 杨成梧
%J 控制理论与应用
%D 2001
%I 
%X A neural network based adaptive tracking control scheme is proposed for a class of nonlinear systems. Two RBF neural networks are used to approximate the unknown nonlinear system, and a sliding model control term is used to eliminate the effects of the network inherent approximation errors and external disturbance. This control scheme can ensure the global stability of closed loop system and the asymptotical convergence of output tracking error.
%K neural networks
%K nonlinear systems
%K output tracking
%K approximate error
%K adaptive control<br>神经网络
%K 非线性系统
%K 输出跟踪
%K 逼近误差
%K 自适应控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=7E189E0FE8A376DF&yid=14E7EF987E4155E6&vid=13553B2D12F347E8&iid=38B194292C032A66&sid=FCACFF68346F8D4F&eid=1A033C02510EFBE6&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=1&reference_num=8