%0 Journal Article
%T Design a Multivariable Adaptive Fuzzy Controller by Fuzzied Radial Basis Function Network Simplified Model<br>用模糊RBF神经网络简化模型设计多变量自适应模糊控制器
%A BAO Hong
%A HUANG Xin-han
%A LI Xi-xiong
%A MAO Zong-yuan
%A <br>鲍　鸿
%A 黄心汉
%A 李锡雄
%A 毛宗源
%J 控制理论与应用
%D 2000
%I 
%X This paper presents a simplified model and the corresponding algorithm of fuzzy radial basis function (RBF) networks to solve the real time control of multivariable process. Authors also analyze the self learning algorithm of multivariable fuzzy controller designed by this simplified model and discuss a new method to treat system dynamics gain in the self learning algorithm. Furthermore a modified self learning algorithm is presented based on process parameters optimization. Finally computer simulation results of an industrial process verify that the simplified model and the modified algorithm are available and effective.
%K fuzzy control
%K fuzzy neural network
%K the RBF network
%K processing control<br>RBF神经网络
%K 过程控制
%K 模糊控制器
%K 自适应控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=A445E630AE6875CC&yid=9806D0D4EAA9BED3&vid=BCA2697F357F2001&iid=0B39A22176CE99FB&sid=954CE65414DD94CA&eid=0584DB487B4581F4&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=14&reference_num=5