Journal of Zhejiang University-SCIENCE A

, Volume 1, Issue 3, pp 311–316 | Cite as

A rapid fuzzy rule extraction method for fuzzy controller

  • Yang Jian-gang
  • Wang Ru-ming
Science & Engineering


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.

Key words

fuzzy control rule extraction space division sample reappearance 

Document code

CLC number



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  1. Yang Yupu, 1994. Extraction of fuzzy rules by using F-NN and the confidence interval estimation.Pattern Recognition & Artificial Intelligence,7:53–59Google Scholar
  2. Li Gechen, 1997. Afuzzy controller based on new type neural network. Proc. of Fifth Robot Conference of China, Ha’erbing, p. 461–466.Google Scholar
  3. Keller J. M., 1992. Neural network implementation of fuzzy logic.Fuzzy Set and System,45(1):1–12.MathSciNetCrossRefMATHGoogle Scholar
  4. Park Y. M., 1996. An optimal tracking neuro-controller for nonlinear dynamic system.IEEE Trans on Neural Networks,7(5):1099–1110.CrossRefGoogle Scholar
  5. Yang Jiangang, 1993. Real time dynamic control of a doubly inverted pendulum using ameliorated CMA network: The 1st Congress of Post-Doctoral of China, National Defense Industry Press, Beijing, p. 358–361.Google Scholar
  6. Jiao Licheng, 1993. Application and implementation of neural network. Xidian Press, Xi’an, 580 p.Google Scholar

Copyright information

© Zhejiang University Press 2000

Authors and Affiliations

  1. 1.Dept. of Computer ScienceZhejiang UniversityHangzhouChina

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