A learning-automaton-based method for fuzzy inference system identification

International Journal of Systems Science

Volumn 28, Issue 9, 1997, Pages 889-896

  Chtourou, Mohamed ^a   Jemaa, Maher Ben ^a   Ketata, Raouf ^b  

^a UNIVERSITY OF SFAX   (Tunisia)

^b Institut National des Sciences Appliquees et Technologiques de Tunis   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATA THEORY; COMPUTER SIMULATION; FUZZY CONTROL; HIERARCHICAL SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); INFERENCE ENGINES; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; OPTIMIZATION; STOCHASTIC CONTROL SYSTEMS; VECTORS;

FUZZY INFERENCE RULES; LEARNING AUTOMATA;

LEARNING SYSTEMS;

EID: 0031233453     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207729708929451     Document Type: Article

References (23)

1. Chtouroum M., Derbel, N., and Kamoun, M. B. A., 1996, Control of a loaded induction machine using a feedforward neural network. International Journal of Systems Science, 27, 1287-1295.
2. Hiraga, I., Furuhashi, T., and Uchikawa, Y., 1995, An acquisition of operator’s rules for collision avoidance using fuzzy neural networks. IEEE Transactions on Fuzzy Systems, 3, 280-287.
3. Homaifar, A., and McCormick, E., 1995, Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms. IEEE Transactions on Fuzzy Systems, 3, 129-139.
4. Horikawa, S., Furuhashi, T., and Uchikawa, Y., 1993, On identification of structures in premises of a fuzzy model using a fuzzy neural network. Proceedings of IEEE International Conference on Fuzzy Systems, San Francisco, pp. 661-666.
5. Jin, Y., Jiang, J., and Zhu, J., 1995, Neural network based fuzzy identification and its application to modeling and control of complex systems. IEEE Transactions on Systems Man and Cybernetics, 25, 990-997.
6. Kim, C. B., Seong, K. A., Kwing, H. L., Kim, J. O., and Lim, Y. B., 1995, A fuzzy approach to elevator group control system. IEEE Transactions on Systems and Cybernetics, 25, 985-990.
7. Kim, J., Moon, Y., and Zeigler, B., 1995, Designing fuzzy net controllers using genetic algorithms. IEEE Control Systems, 15, 66-72.
8. Lee, M. A., and Takagi, H., 1993, Integrating design stages of fuzzy systems using genetic algorithms. Proceedings of the IEEE International Conference on Fuzzy Systems, San Francisco, pp. 712-617.
9. Lin, C. T., and Lee, C. S. G., 1993, Reinforcement structure/parameter learning for neural network based fuzzy logic control systems. Proceedings of the IEEE International Conference on Fuzzy Systems, San Francisco, pp. 88-93.
10. Lin, Y., and Cunningham, G., 1995, A new approach to fuzzy-neural system modeling. IEEE Transactions on Fuzzy Systems, 3, 190-198.
11. Mamdani, E. H., and Assilian, S., 1975, An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies, 7, 1-13.
12. Najim, K., 1988. Multivariable control of liquid-liquid extraction columns using a probabilistic automaton. Proceedings of the Institution of Electrical Engineers, 135, 479-485.
13. Najim, K., Chtourou, M., and Thibault, J., 1992, Neural network synthesis using learning automata. Journal of Systems Engineering, 2, 192-197
14. Nomura, H., Hayashi, I., and Wakamj, N., 1992, A learning method of fuzzy inference rules by descent method. Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 203-210.
15. Poznyak, A. S., Najim, K., and Chtourou, M., 1996, Analysis of the behaviour of multilevel hierarchical systems of learning automata and their application for multimodal functions optimisation. International Journal of Systems Science, 27, 97-112.
16. Takagi, T., and Sugeno, M., 1985, Fuzzy identification of systems and its application to modeling and control. IEEE Transactions on Systems, Man and Cybernetics, 15, 116-132.
17. Tanaka, K., Sano, M., and Watanabe, H., 1995, Modeling and control of carbon monoxide concentration using a neuro-fuzzy technique. IEEE Transactions on Fuzzy Systems, 3, 271-279.
18. Thathachar, M. A. L., and Ramakrishnan, K. R., 1981, A hierarchical system of learning automata. IEEE Transactions on Systems, Man and Cybernetics, 11, 236-241.
19. Tsukamoto, Y., 1979, An approach to fuzzy reasoning method. Advances in Fuzzy Set Theory and Applications, 137-149.
20. Wang, L. X., and Mendel, J. M., 1992, Generating fuzzy rules by learning from examples. IEEE Transactions on Systems, Man and Cybernetics, 22, 1414-1427.
21. Yamaguchi, T., Takagi, T., and Mita, T., 1992, Self-organizing control using fuzzy neural networks. International Journal of Control, 56, 415-439.
22. Yamaoka, M., and Mukaidono, M., 1991, A learning method of fuzzy inference rules with a neural network. Proceedings of 4th IFSA Congress on Artificial Intelligence, pp. 222-225.
23. Zheng, L., 1993, A practical computer aided tuning technique for fuzzy control. Proceedings of the IEEE International Conference on Fuzzy Systems, San Francisco, pp. 702-707.