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Control of Discrete Fuzzy Systems: Uncertainty and Guaranteed Performance

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Dynamics and Control

Abstract

Robust control designs for a discrete Takagi and Sugeno (T-S) fuzzy model are proposed. The T-S fuzzy model contains (possibly fast) time-varying uncertainty. First, a switching-type robust control is shown to stabilize the T-S fuzzy model asymptotically. Second, a saturation-type robust control is shown to render the T-S model practically stable. In both designs, only the bound of uncertainty is needed. The effectiveness of proposed designs is analyzed rigorously and illustrated by simulations.

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References

  1. Chen, C. L., Chen, P. C., and Chen, C. K., “Analysis and design of fuzzy control system,” Fuzzy Sets and Systems, vol. 57, pp. 125-140, 1993.

    Google Scholar 

  2. Corless, M. J. and Leitmann, G., “Continuous state feedback guaranteeing uniform ultimate boundedness for uncertain dynamic systems,” IEEE Transactions on Automatic Control, vol. AC-26, pp. 1139-1144, 1981.

    Google Scholar 

  3. Corless, M. and Manela, J., “Control of uncertain discrete-time systems,” Proceedings of the American Control Conference, pp. 515-520, Seatle, WA, 1986.

  4. Hirota, K., Arai, A., and Hachisu, S., “Fuzzy controlled robot arm playing two-dimensional ping-pong game,” Fuzzy Sets and Systems, vol. 32, pp. 140-1159, 1989.

    Google Scholar 

  5. Lee, T. S., Chen, Y. H., and Chuang, C.-H., “Uncertainty-bound based control design for matched and mismatched fuzzy systems,” submitted.

  6. Magana, M. E. and Zak, S. H. “Robust state feedback stabilization of discrete-time uncertain dynamical systems,” IEEE Transactions on Automatic Control, vol. AC-33, pp. 887-891, 1988.

    Google Scholar 

  7. Noble, B. and Daniel, J. W., Applied Linear Algebra, 3rd ed., Prentice Hall: Englewood Cliffs, NJ, 1988.

    Google Scholar 

  8. Sugeno, M. and Nishida, M., “Fuzzy control of model car,” Fuzzy Sets and Systems, vol. 16, pp. 103-113, 1985.

    Google Scholar 

  9. Takagi, T. and Sugeno, M., “Fuzzy identification of systems and its applications to modeling and control,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 15, pp. 116-132, 1985.

    Google Scholar 

  10. Tanaka, K. and Sugeno, M., “Stability analysis and design of fuzzy control systems,” Fuzzy Sets and Systems, vol. 45, pp. 135-156, 1992.

    Google Scholar 

  11. Tanaka, K., “Stability and stabilzability of fuzzy-neural-linear control systems,” IEEE Transactions on Fuzzy Systems, vol. 3, pp. 438-447, 1995.

    Google Scholar 

  12. Yasunobu, S. and Miyamoto, S., “Automatic train operation by predictive fuzzy control,” in Industrial Application of Fuzzy control, M. Sugeno (ed.), North-Holland: Amsterdam, pp. 1-18, 1985.

    Google Scholar 

  13. Zhao, J., Wertz, V., and Gorez, R., “Linear TS fuzzy model based robust stabilizing controller design,” in Proceedings of the 34th Conference on Decision & Control, New Orleans, LA, pp. 255-260, 1995.

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Lee, T.S., Chen, Y.H. & Chuang, CH. Control of Discrete Fuzzy Systems: Uncertainty and Guaranteed Performance. Dynamics and Control 8, 83–106 (1998). https://doi.org/10.1023/A:1008231013911

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  • DOI: https://doi.org/10.1023/A:1008231013911

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