首页 | 官方网站   微博 | 高级检索  
     

基于T-S模型的非线性系统模糊聚类辨识方法
引用本文:李目,刘祖润,年晓红,谭文.基于T-S模型的非线性系统模糊聚类辨识方法[J].计算机工程与应用,2007,43(29):239-241.
作者姓名:李目  刘祖润  年晓红  谭文
作者单位:1. 湖南大学,电气与信息工程学院,长沙,410082;湖南科技大学,信息与电气工程学院,湖南,湘潭,411201
2. 湖南科技大学,信息与电气工程学院,湖南,湘潭,411201
3. 中南大学,信息科学与工程学院,长沙,410083
基金项目:国家自然科学基金 , 湖南省自然科学基金 , 湖南省教育厅科研项目
摘    要:提出一种基于T-S模型的非线性系统模糊聚类辨识方法,对T-S模糊模型的前提部分和结论部分进行分开辨识,既简化该模型的辨识步骤,又提高它的泛化能力,同时也解决了T-S模糊模型随辨识系统复杂程度提高而规则数增大的问题。对一个非线性系统辨识的仿真结果验证了这种模糊聚类辨识方法的有效性。

关 键 词:T-S模型  非线性系统  模糊聚类  模糊辨识
文章编号:1002-8331(2007)29-0239-03
修稿时间:2007-02

Method of nonlinear systems identification with fuzzy clustering based on Takagi-Sugeno model
LI Mu,LIU Zu-run,NIAN Xiao-hong,TAN Wen.Method of nonlinear systems identification with fuzzy clustering based on Takagi-Sugeno model[J].Computer Engineering and Applications,2007,43(29):239-241.
Authors:LI Mu  LIU Zu-run  NIAN Xiao-hong  TAN Wen
Affiliation:1.College of Electrical and Information Engineering,Hunan University,Changsha 410082,China ;2.School of Information and Electrical Engineering, Hunan University of Science and Technology,Xiangtan, Hunan 411201 ,China ;3.College of Information Science and Engineering,Central South University,Changsha 410083,China
Abstract:A method of nonlinear systems identification with fuzzy clustering based on T-S model has been proposed in this paper.In T-S fuzzy model the premise and conclusion have been identified separately,since have simplified the steps of the identification,and then have improved the generalization ability,also have resolved the system problem of the complicated degree exaltation but the rule few aggrandizement.Finally,the effectiveness of the propose method has been demonstrated by identification of the nonlinear systems.
Keywords:T-S model  nonlinear systems  fuzzy clustering  fuzzy identification
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号