Immune Clone Selection Algorithm for Fuzzy Logic Controller Design

作     者：WenJie Tian~1,Lan Ai~2,Yu Geng~3,JiCheng Liu 1.Automation Institute,BEIJING Union University,BEIJING,China,100101 2.Automation Institute,BEIJING Union University,BEIJING,China,100101 3.Automation Institute,BEIJING Union University,BEIJING,China,100101 4.Automation Institute,BEIJING Union University,BEIJING,China,100101 

会议名称：《2009中国控制与决策会议》

会议日期：2009年

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：BEIJING Education Committee Foundation under Grant NO.KM200611417007 

关 键 词：Immune clone selection algorithm Fuzzy logic controller Mutation Membership function convergence 

摘      要：正This paper provides an overview on immune clone selection algorithm for the automated design and optimization of fuzzy logic controller.A new optimization method for fuzzy logic controller design is *** membership functions of input and output variables are defined by six parameters,which are adjusted to maximize the performance index of the controller by using immune clone selection *** method can shorten coding length, incarnate the characteristic of mutation and improve the capability of search and convergence of *** experiment on water level controller is discussed by using above *** simulation results show that the fuzzy logic controller based on immune clone selection algorithm avoids premature effectively and prove its feasibility.