期刊文献+

基于Takagi-Sugeno型模糊系统软运算的优化 被引量:1

The Optimization of Soft Computing Based on Takagi-Sugeno Type Fuzzy System
下载PDF
导出
摘要 分析Takagi-Sugeno模糊系统建模方法的基础上,提出一种简单有效的软运算方法.该算法基于功能块构造法模糊建模思想,由隶属函数写出简单的文本文件来代替复杂的模糊规则,运用Simulink工具箱,以Floulib模糊库为依据利用模糊控制的Takagi-Sugeno方法来进行模糊运算和设计模糊控制器.实例证明,本文所提出的软运算方法简单,收敛速度快,适合任意位输入的模糊控制器模型,具有较好的实际应用价值. In this paper,the authors develop a simple-effective way of soft computing on the basis of analyzing the modelling method of Takagi-Sugeno fuzzy system,which is based on the fuzzy modelling thought of function block structure. Through writing a simple text document by the membership function to replace the complex fuzzy rule and processing fuzzy calculation or desining a fuzzy controler by using simulink toolbox as well as Takagi-Sugeno method of fuzzy controls based on Floulib fuzzy storehouse, it is shown that the soft calculation method mentioned in this article is very simple and has quick convergenceration, meanwhile,it suits the free position input of fuzzy controller model and has the better practical application value.
出处 《新疆大学学报(自然科学版)》 CAS 2008年第3期374-378,共5页 Journal of Xinjiang University(Natural Science Edition)
基金 新疆大学自然科学资金项目
关键词 软运算 T-S模糊系统 文本文件 隶属函数 Soft computing Takagi-Sugeno fuzzy system text document membership function
  • 相关文献

参考文献7

  • 1Jelena Godjevac. Idees nettes sur la logique floue[M]. Suisse. Ed,Presses polytechniques et universitaires romandes. 1999.
  • 2Henk SCHOLTEN. logique floue & regulation PID[M]. aux Pays-Bas. Ed, Elektor. 1994.
  • 3Sylvie Galichet,Laurent Foulloy. Fuzzy controllers: Synthesis and Equivalences [R]. France. 1993.11.
  • 4Takagi T,Sugeno M. Fuzzy identification of fuzzy systems and its application to modeling and control[J]. IEEE Trans, syst, man, cybern, 1985,15 (1) : 116-132.
  • 5Maimaitireyimu ABULIZI. Sur le fonctionnement et l'implantation des systemes flous[R]. ESIA-Universite Savoie. Franee. 2003.10.
  • 6吴忠强,高美静,于灵慧,李杰.一种新型模糊控制器设计与稳定性分析[J].系统仿真学报,2003,15(7):1054-1056. 被引量:5
  • 7买买提热依木.阿布力孜.线性模糊PID控制器的设计与分析[J].计算机应用与软件,2006,23(4):137-138. 被引量:2

二级参考文献19

  • 1孙增圻 等.智能扭制理论与技术[M].北京:清华大学出版社,1997..
  • 2Takagi T, Sugeno M. Fuzzy identification of fuzzy systems and its application to modeling and control[J]. IEEE Trans, syst, man, cybern,1985, 15(1): 116-132.
  • 3Tanaka k, sugeno M. Stability Analysis and Design of Fuzzy Control System[J]. Fuzzy sets and systems, 1992, 45: 135-156.
  • 4Cao S G, Rees N W, Feng G. Analysis and Design for a class of complex Control System Part Ⅱ:fuzzy controller design[J]. Automatic,1997, 33(6): 1029-1039.
  • 5Tanaka Kazuo ,Takayuki ikcda, Wang Huao. A unified Approach to controlling Chaos via an LMI-Based Fuzzy Control System Design[J].IEEE Transaction on Circuits and Systems Fundamental Theory and Applications, 1998, 45(19): 56-84.
  • 6Thierry Marie Guerra, Laurent Vermeiren. Control laws for Takaga-Sugeno fuzzy models[J]. Fuzzy Sets and Systems, 2001, 120:95-108.
  • 7Boyd S L, Ghaoui EI E, Balakrishnan Teron V. Linear Matrix Inequalities in Systems and Control Theory[M]. SIAM Studies in Applied Mathematics, Philadelphia, 1994.
  • 8Ma Xiao-Jun, Sun Zeng-Qi, He Yah-Yah. Analysis and Design of Fuzzy Controller and Fuzzy Observer[J]. IEEE Transaction on fuzzy systems, 1998, (16)1: 41-51.
  • 9Petersen I R. Aprocedure for simultaneously stabilizing a collection of single input liner systems ,Using non-linear State feedback control[J].Automatic, 1987. 23(1): 33-40.
  • 10Jooyoung Park, Jinsung Kim Daihee Park. LMI-based design of stabilizing fuzzy controllers for nonlinear systems described by Takagi-Sugeno fuzzy model, Fuzzy[J]. Sets and systems 2001, 122:73-82.

共引文献5

同被引文献3

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部