%0 Journal Article
%T Optimization of parameters in fuzzy controller in dynamic evolutionary algorithm<br>.动力学演化算法的模糊控制器多参数优化*
%A YU Li
%A XIA Xue-wen
%A LI Yuan-xiang
%A <br>余琍
%A 夏学文
%A 李元香
%J 计算机应用研究
%D 2008
%I 
%X Fuzzy control is a non-linear control method and the performance of it is mainly based on fuzzy control-rules.However, there are many flaws of traditional technique that based on expert's experience to design the control-rules which cannot be adjusted dynamic.The measure-parameter and scale-parameter whose selection based on experience also cannot ensure a better result of control.This paper advanced a new method to select these parameters depends on dynamic evolutionary algorithm(DEA).Simulation experiment indicates its availability and excellent control effect.
%K fuzzy control
%K dynamic evolutionary algorithm(DEA)
%K multi-parameter optimization
%K adjust parameter
%K measure-parameter
%K scale-parameter<br>模糊控制
%K 动力学演化算法
%K 多参数优化
%K 调整因子
%K 量化因子
%K 比例因子
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=9AC49471D43D0F8A169D22DC209BC08B&yid=67289AFF6305E306&vid=C5154311167311FE&iid=DF92D298D3FF1E6E&sid=D0E58B75BFD8E51C&eid=37904DC365DD7266&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11