Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (14): 73-75.

• 理论研究 • Previous Articles     Next Articles

Rational genetic algorithms-based fuzzy modeling identification

XUE Mei,GONG Yan-hua   

  1. Department of Mordern Teaching Technology,Ludong University,Yantai,Shandong 264025,China
  • Received:2007-09-03 Revised:2007-12-12 Online:2008-05-11 Published:2008-05-11
  • Contact: XUE Mei

基于理性遗传算法的模糊系统辨识

薛 梅,巩艳华   

  1. 鲁东大学 现代教育技术教学部,山东 烟台 264025
  • 通讯作者: 薛 梅

Abstract: The problems of identification of a T-S fuzzy model are presented in this paper.The rational genetic algorithm as a new identification is proposed.Based on the universal approximation of the T-S fuzzy system,the structure of the fuzzy model is constructed.Then through the new identification method,the result of the identification can be gotten.

Key words: T-S fuzzy systems, rational genetic algorithms, identification

摘要: 针对模糊系统辨识的复杂问题,提出基于理性遗传算法的模糊系统辨识。模糊系统辨识包括前件结构、参数辨识和后件结构、参数辨识,在利用模糊系统的通用逼近性的基础上,采用理性遗传算法对模糊模型进行辨识,并给出仿真结果,其结果表明理性遗传算法在进行离线辨识中是一种十分有效的方法。

关键词: T-S模糊系统, 理性遗传算法, 辨识