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Journal of Zhejiang University SCIENCE A 2000 Vol.1 No.3 P.311-316

http://doi.org/10.1631/jzus.2000.0311


A RAPID FUZZY RULE EXTRACTION METHOD FOR FUZZY CONTROLLER


Author(s):  YANG Jian-gang, WANG Ru-ming

Affiliation(s):  Dept.of Computer Science, Zhejiang University, Hangzhou, 310027, China

Corresponding email(s): 

Key Words:  fuzzy control, rule extraction, space division, sample reappearance


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YANG Jian-gang, WANG Ru-ming. A RAPID FUZZY RULE EXTRACTION METHOD FOR FUZZY CONTROLLER[J]. Journal of Zhejiang University Science A, 2000, 1(3): 311-316.

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Abstract: 
Based on division of the three-dimensional space from data samples, the method proposed in this paper can rapidly extract fuzzy rules by using the fuzzy information of the samples. The principle of this approach is proved theoretically. Due to its simplicity this method can be used to extract fuzzy rules in real-time for an adaptive control system. Simulation results showed that this approach is effective and practical.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Yang Yupu, 1994. Extraction of fuzzy rules by using F-NN and the confidence interval estimation. Pattern Recognition & Artificial Intelligence, 7:53-59

[2]Li Gechen, 1997. A fuzzy controller based on new type neural network. Proc. of Fifith Robot Conference of China, Ha'erbing, p.461-466.

[3]Keller J.M., 1992. Neural network implementation of fuzzy logic. Fuzzy Set and System, 45(1):1-12.

[4]Park Y.M., 1996. An optimal tracking neuro-controller for nonlinear dynamic system.IEEE Trans on Neural Networks,7(5):1099-1110.

[5]Yang Jiangang, 1993. Real time dynamic control of a doubly inverted pendulum using ameliorated CMAC network: The 1st Congress of Post-Doctoral of China, National Defense Industry Press, Beijing, p.358-361.

[6]Jiao Licheng, 1993. Application and implementatioin of neural network. Xidian Press, Xi'an, 580 p.

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