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Indirect adaptive fuzzy sliding mode control. I: Fuzzy switching. (English) Zbl 0981.93040

See the review of part II [Fuzzy Sets Syst. 122, No. 1, 31-43 (2001; Zbl 0981.93041)] below.
Reviewer: T.Zolezzi (Genova)

MSC:

93C42 Fuzzy control/observation systems
93B12 Variable structure systems

Citations:

Zbl 0981.93041
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References:

[1] P.T. Chan, A.B. Rad, J. Wang, Indirect adaptive fuzzy sliding mode control: Part II — parameter projection and supervisory control, Fuzzy Sets and Systems \((1999)\); P.T. Chan, A.B. Rad, J. Wang, Indirect adaptive fuzzy sliding mode control: Part II — parameter projection and supervisory control, Fuzzy Sets and Systems \((1999)\) · Zbl 0981.93041
[2] D. Driankov, R. Palm, (Eds.), Advances in Fuzzy Control, Heidelberg, 1998.; D. Driankov, R. Palm, (Eds.), Advances in Fuzzy Control, Heidelberg, 1998. · Zbl 0888.00014
[3] Ge, S. S.; Lee, T. H.; Harris, C. J., Adaptive Neural Network Control of Robotic Manipulators (1998), World Scientific Publishing Co.: World Scientific Publishing Co. Singapore
[4] Hauser, J.; Sastry, S., Nonlinear control via approximate input-output linearizationthe ball-and-beam example, IEEE Trans. Automat. Control, 37, 3, 392-398 (1992)
[5] Hwang, G. C.; Lin, S. L., A stability approach to fuzzy control design for nonlinear systems, Fuzzy Sets and Systems, 48, 279-287 (1992) · Zbl 0850.93449
[6] Johansen, T. A., Fuzzy model based controlstability, robustness, and performance issues, IEEE Trans. Fuzzy Systems, 2, 3, 221-234 (1994)
[7] Kwong, W. A.; Passino, K. M., Dynamically focused fuzzy learning control, IEEE Trans. SMC, 26, 53-74 (1996)
[8] Layne, J. R.; Passino, K. M., Fuzzy model reference learning control for cargo ship steering, IEEE Control Systems Mag., 13, 6, 23-34 (1993)
[9] Y. Li, K.C. Ng, Design of SISO sliding mode control systems using genetic algorithms, Technique Report, Centre for systems and control, University of Glasgow, http:\(////(1994)\); Y. Li, K.C. Ng, Design of SISO sliding mode control systems using genetic algorithms, Technique Report, Centre for systems and control, University of Glasgow, http:\(////(1994)\)
[10] R. Palm, Sliding mode fuzzy control, Proceedings of IEEE Conference on Fuzzy Systems, San Diego, 1992, pp. 519-526.; R. Palm, Sliding mode fuzzy control, Proceedings of IEEE Conference on Fuzzy Systems, San Diego, 1992, pp. 519-526.
[11] Slotine, J. J.E., Sliding controller design for non-linear systems, Internat. J. Control, 38, 2, 465-492 (1984)
[12] Slotine, J. E.; Li, W. P., Applied Nonlinear Control (1991), Prentice-Hall: Prentice-Hall Englewood Cliffs, NJ
[13] Spooner, J. J.; Passino, K. M., Stable adaptive control using fuzzy systems and neural networks, IEEE Trans. Fuzzy Systems, 4, 3, 339-359 (1996)
[14] Utkin, V. I., Variable structure systems with sliding modes, IEEE Trans. Automat. Control, AC-22, 2, 212-222 (1977) · Zbl 0382.93036
[15] L.X. Wang, Fuzzy systems are universal approximators, Proceedings of IEEE Conference on Fuzzy Systems, San Diego, 1982, pp. 1163-1170.; L.X. Wang, Fuzzy systems are universal approximators, Proceedings of IEEE Conference on Fuzzy Systems, San Diego, 1982, pp. 1163-1170.
[16] Wang, L. X., Adaptive Fuzzy Systems and Control (1994), Prentice-Hall: Prentice-Hall Englewood Cliffs, NJ
[17] Wang, L. X., Stable adaptive fuzzy controllers with application to inverted pendulum tracking, IEEE Trans. SMC-Part B, 26, 5, 677-691 (1996)
[18] Xie, W. F.; Rad, A. B., Fuzzy on-line identification of the SISO non-linear systems, Fuzzy Sets and Systems, 107, 323-335 (1999) · Zbl 0945.93566
[19] Yoo, B.; Ham, W., Adaptive fuzzy sliding mode control of nonlinear system, IEEE Trans. Fuzzy Systems, 6, 2, 315-321 (1998)
[20] Zhang, T. P.; Fang, C. B., Decentralized adaptive fuzzy control for large-scale nonlinear systems, Fuzzy Set and Systems, 92, 61-70 (1997) · Zbl 0929.93021
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