%0 Journal Article
%T Adaptive electro-hydraulic posittion tracking system based on dynamic recurrent fuzzy neural network<br>基于动态递归模糊神经网络的自适应电液位置跟踪系统
%A ZHANG You-wang
%A GUI Wei-hu
%A ZHAO Quan-ming
%A <br>张友旺
%A 桂卫华
%A 赵泉明
%J 控制理论与应用
%D 2005
%I 
%X Dynamic recurrent fuzzy neural network(DRFNN) is proposed to evaluate online the unknown dynamic nonlinear functions that include nonlinearity,parameter uncertainty,load disturbance et al.in electro-hydraulic position tracking system,adaptive laws of the adjustable parameters and the evaluation error bounds of DRFNN are formulated based on Lyapunov stability theory,and a stable adaptive controller is synthesized.The experimental results show that the adaptive controller based on DRFNN can make electro-hydraulic position tracking system more robust and obtain satisfactory tracking performance.
%K dynamic recurrent fuzzy neural netowrk(DRFNN)
%K electro-hydraulic position tracking system
%K variable structure control
%K robustness<br>动态递归模糊神经网络
%K 电液位置跟踪系统
%K 变结构控制
%K 鲁棒性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=76686D1AE3E1D456&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=E158A972A605785F&sid=CEFF71AEB051114C&eid=CF0706A3E35031F6&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=8