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Research on fuzzy modeling based on modified fuzzy clustering and its application

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4 Author(s)
Xing Zongyi ; Dept. of Autom., NanJing Univ. of Sci. & Technol., Jiangsu, China ; Hu Weili ; Chen Qingwei ; Jia Limin

A new method of fuzzy modeling based on T-S fuzzy model is presented. In this approach, a modified fuzzy clustering algorithm is combined with the least square approximation method to identify the structure and parameters of the fuzzy model from a set of data. An L-M technique is used to optimize initial fuzzy model. The proposed method is applied to coke-oven temperature system, and the simulation results demonstrate its effectiveness.

Published in:

Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th  (Volume:3 )

Date of Conference:

6-9 Dec. 2004