System identification with state-space recurrent fuzzy neural networks

Proceedings of the IEEE Conference on Decision and Control

Volumn 5, Issue , 2004, Pages 5106-5111

  Yu, Wen ^a   Ferreyra, Andrés ^b  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

^b UNIVERSIDAD AUTÓNOMA METROPOLITANA AZCAPOTZALCO   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; FEEDBACK; FEEDFORWARD NEURAL NETWORKS; FUZZY SETS; LEARNING ALGORITHMS; MEMBERSHIP FUNCTIONS; RECURRENT NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); STATE SPACE METHODS; SYSTEM STABILITY;

BACKPROPAGATION LEARNING; INPUT-TO-STATE STABILITY; RECURRENT FUZZY NEURAL NETWORK (RFNN);

IDENTIFICATION (CONTROL SYSTEMS);

EID: 14544300621     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2004.1429617     Document Type: Conference Paper

References (25)

1. D.S.Chen and R.C.Jain, A robust back propagation learning algorithm for fuunction approximation, IEEE Trans. Neural Networks, Vol.5, No.3, 1994.
2. 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, 781-790, 2001.
3. B.Egardt, Stability of Adaptive Controllers, Lecture Notes in Control and Information Sciences, Vol.20, Springer-Verlag, Berlin, 1979
4. S.Haykin, Neural Networks- A Comprehensive Foundation, Macmillan College Publ. Co., New York, 1994.
5. P.A.Ioannou and J.Sun, Robust Adaptive Control, Prentice-Hall, Inc, Upper Saddle River: NJ, 1996.
6. Z.P.Jiang and Y.Wang, Input-to-State Stability for Discrete-Time Nonlinear Systems, Automatica, Vol.37, No.2, 857-869, 2001.
7. L.Jin ad M.M.Gupta, Stable Dynamic Backpropagation Learning in Recurrent Neural Networks, IEEE Trans. Neural Networks, Vol.10, No.6, 1321-1334, 1999.
8. C.F.Juang, A TSK-type recurrent fuzzy networks for dynamic systems processing by neural network and genetic algorithms, IEEE Trans. Fuzzy Syst., Vol.10, No.2, 155-170, 2002.
9. C.H.Lee and C.C.Teng, Identification and control of dynamic system using recurrent fuzzy neural networks, IEEE Trans. Fuzzy Syst., Vol.8 No.4, 349-366, 2000.
10. F.L.Lewis, A.Yesildirek and K.Liu, Multilayer Neural-Net Robot Controller with Guaranteed Tracking Performance, IEEE Trans. Neural Networks, Vol.7, No.2, 388-399, 1996.
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, 583-591, 1999.
12. C.T.Lin and G.Lee, Neural fuzzy systems: A neural-fuzzy synergism to intelligent systems, Prentice-Hall Inc., NJ, 1996.
13. C.T.Lin, A neual fuzzy control system with structure and parameter learning, Fuzzy Sets anc Systems., Vol.70, 183-212, 1995.
14. E.H.Mamdani, Application of fuzzy algorithms for control of simple dynamic plant, IEE Proceedings - Control Theory and Applications, Vol.121, No.12, 1585-1588, 1976.
15. P.A.Mastorocostas and J.B.Theocharis, A recurrent fuzzy-neural model for dynamic system identification, IEEE Trans. Syst., Man, Cybern. B, Vol.32, No.2, 176-190, 2002.
16. T.Takagi and M.Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Syst., Man, Cybern., Vol.15, 116-132, 1985.
17. 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, 217-223, 2000.
18. S.Wu and M.J.Er, Dynamic fuzzy neural networks- a novel approach to function approximation, IEEE Trans. Syst., Man, Cybern. B, Vol.30, 358-364, 2000.
19. 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, 467-475, 2001.
20. L.X.Wang, Adaptive Fuzzy Systems and Control, Englewood Cliffs NJ: Prentice-Hall, 1994.
21. 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, 740-747, 1997.
22. 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, 140-147, 2001.
23. W.Yu and X. Li, Some stability properties of dynamic neural networks, IEEE Trans. Circuits and Systems, Part I, Vol.48, No.1, 256-259, 2001.
24. W.Yu and X. Li, Some new results on system identification with dynamic neural networks, IEEE Trans. Neural Networks, Vol.12, No.2, 412-417, 2001.
25. J.Zhang and A.J.Morris, Recurrent neuro-fuzzy networks for nonlinear process modeling, IEEE Trans. Neural Networks, Vol.10, No.2, 313-326, 1999