东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2007, Vol. 28 ›› Issue (3): 305-307.DOI: -

• 论著 •    下一篇

T-S模糊模型的一种简单辨识算法

常晓恒;井元伟;姜雪梅;刘晓平;   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;辽宁科技大学电子与信息工程学院;东北大学信息科学与工程学院 辽宁沈阳110004;辽宁沈阳110004;辽宁鞍山114044;辽宁沈阳110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2007-03-15 发布日期:2013-06-24
  • 通讯作者: Chang, X.-H.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60274099);;

Simplified identification method of takagi-sugeno fuzzy model

Chang, Xiao-Heng (1); Jing, Yuan-Wei (1); Jiang, Xue-Mei (2); Liu, Xiao-Ping (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) School of Electronic and Information Engineering, Liaoning University of Science and Technology, Anshan 114044, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-03-15 Published:2013-06-24
  • Contact: Chang, X.-H.
  • About author:-
  • Supported by:
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摘要： 讨论了T-S模糊模型的辨识问题,以直线作为数据分类的目标,提出了一种改进的简单辨识算法.首先采用Hough变换,根据给定的输入输出数据,得到了模型后件部分的直线方程,并辨识出结论参数,然后依照得到的直线对输入数据进行分类.考虑输入数据与相应直线的接近程度,以及邻近直线对输入数据的影响程度,辨识出了模型的前件参数.本算法不需要对数据的循环计算,从而大大减少了计算量.仿真例子说明了本算法对T-S模糊模型辨识的有效性.

关键词: 非线性SISO系统, T-S模糊模型, 辨识算法, Hough变换, 接近程度

Abstract: The identification problem of Takagi-Sugeno fuzzy model is discussed and as an improvement, a simplified method is proposed taking lines as the objective of data classification. According to a set of given input-output data, linear equations of the consequent of the model are obtained by Hough transform, with conclusive parameters identified. Based on the linear segments, the input data are classified. Considering the proximity of input data to relevant linear segment and how the adjacent linear segment affects the input data, the consequent parameters of the model are identified. The proposed method needn't cyclic data processing, thus reducing greatly the computation. A simulation example shows the effectiveness of the method to T-S fuzzy model identification.

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