Fuzzy identification using fuzzy neural networks with stable learning algorithms

IEEE Transactions on Fuzzy Systems

Volumn 12, Issue 3, 2004, Pages 411-420

  Yu, Wen ^a   Li, Xiaoou ^a  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

Fuzzy neural networks; Identification; Stability

Indexed keywords

COMPUTER SIMULATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; SYSTEM STABILITY;

FUZZY IDENTIFICATION; FUZZY NEURAL NETWORKS;

FUZZY SETS;

EID: 3042549361     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2004.825067     Document Type: Article

References (27)

1. M. Brown and C. J. Harris, Neurofuzzy Aadaptive Modeling and Control. Upper Saddle River, NJ: Prentice-Hall, 1994.
2. W. C. Chan, C. W. Chan, K. C. Cheung, and Y. Wang "Modeling of nonlinear stochastic dynamical systems using neurofuzzy networks," in Proc. 38th IEEE Conf. Decision Control, Phoenix, AZ, 1999, 2643-2648.
3. D. S. Chen and R. C. Jain "A robust back propagation learning algorithm for function approximation," IEEE Trans. Neural Networks, vol. 5, pp. 467-479, May 1994.
4. M. Y. Chen and D. A. Linkensm "A systematic neuro-fuzzy modeling framework with application to material property prediction," IEEE Trans. Syst., Man, Cybern. B, vol. 31, pp. 781-790, Sept. 2001.
5. B. Egardt, Stability of Adaptive Controllers. Berlin, Germany: Springer-Verlag, 1979, vol. 20, Lecture Notes in Control and Information Sciences.
6. S. Haykin, Neural Networks - A Comprehensive Foundation. New York: MacMillan, 1994.
7. S. I. Horikawa, T. Furuhashi, and Y. Uchikawa, "On fuzzy modeling using fuzzy neual networks with the back-propagation algorithm," IEEE Trans. Neural Networks, vol. 3, pp. 801-806, Sept. 1992.
8. P. A. Ioanou and J. Sun, Robust Adaptive Control. Upper Saddle River, NJ: Prentice-Hall, 1996.
9. Z. P. Jiang and Y. Wang, "Input-to-state stability for discrete-time non-linear systems," Automatica, vol. 37, no. 2, pp. 857-869, 2001.
10. C. F. Juang, "A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithm," IEEE Trans. Fuzzy Syst., vol. 10, pp. 155-170, Apr. 2002.
11. Y. G. Leu, T. T. Lee, and W. Y. Wang, "Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems," IEEE Trans. Syst., Man, Cybern. B, vol. 29, pp. 583-591, June 1999.
12. F. L. Lewis, A. Yesildirek, and K. Liu, "Multilayer neural-net robot controller with guaranteed tracking performance," IEEE Trans. Neural Networks, vol. 7, pp. 388-399, Mar. 1996.
13. C. T. Lin and G. Lee, Neural Fuzzy Systems: A Neural-Fuzzy Synergism to Intelligent Systems. Upper Saddle River, NJ: Prentice-Hall, 1996.
14. C. T. Lin, "A neual fuzzy control system with structure and parameter learning," Fuzzy Sets Syst., vol. 70, pp. 183-212, 1995.
15. D. P. Mandic, A. I. Hanna, and M. Razaz, "A normalized gradient descent algorithm for nonlinear adaptive filters using a gradient adaptive step size," IEEE Signal Processing Lett., vol. 8, pp. 295-297, Feb. 2001.
16. E. H. Mamdani, "Application of fuzzy algorithms for control of simple dynamic plant," Proc. Inst. Elect. Eng., vol. 121, no. 12, pp. 1585-1588, 1976.
17. P. A. Mastorocostas and J. B. Theocharis, "A recurrent fuzzy-neural model for dynamic system identification," IEEE Trans. Syst., Man, Cybern. B, vol. 32, pp. 176-190, Feb. 2002.
18. K. S. Narendra and S. Mukhopadhyay, "Adaptive control using neural networks and approximate models," IEEE Trans. Neural Networks, vol. 8, pp. 475-485, May 1997.
19. T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Trans. Syst., Man, Cybern., vol. SMC-15, pp. 116-132, Jan. 1985.
20. H. H. Tsai and P. T. Yu, "On the optimal design of fuzzy neural networks with robust learning for function approximation," IEEE Trans. Syst., Man, Cybern. B, vol. 30, pp. 217-223, Apr. 2000.
21. S. Wu and M. J. Er, "Dynamic fuzzy neural networks- a novel approach to function approximation," IEEE Trans. Syst., Man, Cybern. B, vol. 30, pp. 358-364, 2000.
22. C. H. Wang, H. L. Liu, and C. T. Lin, "Dynamic optimal learning rates of a certain class of fuzzy neural networks and its applications with genetic algorithm," IEEE Trans. Syst., Man, Cybern. B, vol. 31, pp. 467-475, June 2001.
23. L. X. Wang, Adaptive Fuzzy Systems and Control. Upper Saddle River, NJ: Prentice-Hall, 1994.
24. W. Y. Wang, T. T. Lee, C. L. Liu, and C. H. Wang, "Function approximation using fuzzy neural networks with robust learning algorithm," IEEE Trans. Syst., Man, Cybern. B, vol. 27, pp. 740-747, Sept. 1997.
25. W. Y. Wang, Y. G. Leu and C. C. Hsu, "Robust adaptive fuzzy-neural control of nonlinear dynamical systems using generalized projection updated law and variable structure controller," IEEE Trans. Syst., Man, Cybern. B, vol. 31, pp. 140-147, 2001.
26. W. Yu and X. Li, "Some stability properties of dynamic neural networks," IEEE Trans. Circuits Syst. I, vol. 48, pp. 256-259, Jan. 2001.
27. ____, "Some new results on system identification with dynamic neural networks," IEEE Trans. Neural Networks, vol. 12, pp. 412-417, Mar. 2001.