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Delay-Dependent Robust Stability Analysis for Time-Delay T–S Fuzzy Systems with Nonlinear Local Models

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Abstract

This paper addresses the robust stability problem for nonlinear systems subjected to model uncertainties and with time-delay and its derivative varying within intervals. The nonlinear time-delay system is described by a new Takagi-Sugeno fuzzy model consisted of local nonlinear time-delay systems. The new fuzzy model has fewer fuzzy rules than conventional T–S fuzzy models with local linear time-delay systems; therefore, can be more easily derived in practical situations. To reduce conservatism concerning both models, a stability analysis which incorporates state-of-the-art stability techniques with an improved piecewise analysis method, amended with novel delay-interval-dependent terms, is proposed. The proposed analysis, based on a novel fuzzy weighting-dependent Lyapunov-Krasovskii functional, considers that the delay-derivative is either upper and lower bounded, bounded above only, or unbounded, i.e., when no restrictions are cast upon the derivative. Numerical examples are provided to enlighten the importance and the conservatism reduction of the proposed method which outperforms state-of-the-art criteria in time-delay systems literature.

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Notes

  1. As in (Figueredo et al. 2011), similar results may be achieved applying Finsler’s Lemma (Oliveira and Skelton 2001).

References

  • Andrea, C. Q., Pinto, J. O. P., Assunção, E., Teixeira, M. C. M., & Galotto, L, Jr. (2008). Controle Ótimo \(H_{\infty }\) de sistemas não-lineares com modelos fuzzy Takagi-sugeno. SBA: Controle & Automação, 19(3), 256–269.

    Article  Google Scholar 

  • Arrifano, N. S. D., & Oliveira, V. A. (2004). State feedback fuzzy-model-based control for Markovian jump nonlinear systems. SBA: Controle & Automação, 15(3), 279–290.

    Article  Google Scholar 

  • Chen, B., Liu, X., & Tong, S. (2007). New delay-dependent stabilization conditions of T–S fuzzy systems with constant delay. Fuzzy Sets and Systems, 158, 2209–2224.

    Article  MathSciNet  MATH  Google Scholar 

  • Choi, D. J., & Park, P. (2003). \(H_{\infty }\) state-feedback controller design for discrete-time fuzzy systems using fuzzy weighting-dependent Lyapunov functions. IEEE Transactions on Fuzzy Systems, 11(2), 271–278.

    Article  MathSciNet  Google Scholar 

  • Delmotte, F., Guerra, T., & Ksantini, M. (2007). Continuous Takagi-Sugeno’s models: Reduction of the number of lmi conditions in various fuzzy control design technics. IEEE Transactions on Fuzzy Systems, 15(3), 426–438.

    Article  Google Scholar 

  • Dong, J., Wang, Y., & Yang, G.-H. (2009). Control synthesis of continuous-time T–S fuzzy systems with local nonlinear models. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 39(5), 1245–1258.

    Article  Google Scholar 

  • Dong, J., Wang, Y., & Yang, G.-H. (2011). \(H_{\infty }\) and mixed \(H_{2}/H_{\infty }\) control of discrete-time T–S fuzzy systems with local nonlinear models. Fuzzy Sets and Systems, 164(1), 1–24.

    Article  MathSciNet  MATH  Google Scholar 

  • Dugard, L., & Verriest, E. I. (1998). Stability and control of time-delay systems. Lecture notes in control and information sciences. London: Springer-Verlag.

    Book  Google Scholar 

  • Figueredo, L. F. C., Ishihara, J. Y., Borges, G. A., & Bauchspiess, A. (2010). New delay-and-delay-derivative-dependent stability criteria for systems with time-varying delay, Proceedings of the IEEE Conference on Decision and Control. Atlanta, (pp. 1004–1009).

  • Figueredo, L. F. C., Ishihara, J. Y., Borges, G. A. & Bauchspiess, A. (2011) . Robust stability criteria of uncertain systems with delay and its derivative varying within intervals, American Control Conference, San Francisco.

  • Fridman, E., Shaked, U., & Liu, K. (2009). New conditions for delay-derivative-dependent stability. Automatica, 45(11), 2723–2727.

    Article  MathSciNet  MATH  Google Scholar 

  • Gu, K., Kharitonov, V. L., & Chen, J. (2003). Stability of time-delay systems. Boston: Birkhauser.

    Book  MATH  Google Scholar 

  • Guan, X.-P., & Chen, C.-L. (2004). Delay-dependent guaranteed cost control for T–S fuzzy systems with time delays. IEEE Transactions on Fuzzy Systems, 12(2), 236–249.

    Article  MATH  Google Scholar 

  • Klug, M. & Castelan, E. B. (2011). Redução de regras e compensação robusta para sistemas Takagi-Sugeno com utilização de modelos não lineares locais, X Simpósio Brasileiro de Automação Inteligente, SBAI , (pp. 909 – 914).

  • Li, L., Liu, X., & Chai, T. (2009). New approaches on control of T–S fuzzy systems with interval time-varying delay. Fuzzy Sets and Systems, 160(12), 1669–1688.

    Article  MathSciNet  MATH  Google Scholar 

  • Lien, C., Yu, K., Chen, W., Wan, Z., & Chung, Y. (2007). Stability criteria for uncertain Takagi-Sugeno fuzzy systems with interval time-varying delay. IET Control Theory Applications, 1(3), 764–769.

    Article  Google Scholar 

  • Liu, F., Wu, M., He, Y., & Yokoyama, R. (2010). New delay-dependent stability criteria for T–S fuzzy systems with time-varying delay. Fuzzy Sets and Systems, 161, 2033–2042.

    Article  MathSciNet  MATH  Google Scholar 

  • Mozelli, L., Palhares, R. & Avellar, G. (2008). Novas condição de estabilidade e estabilização para sistemas Takagi-Sugeno baseadas na função de Lyapunov fuzzy, XVII Congresso Brasileiro de Automática.

  • Oliveira, M., & Skelton, R. (2001). Perspectives in robust control, of lecture notes in control and information sciences. In S. Moheimani (Ed.), Stability tests for constrained linear systems (Vol. 268, pp. 241–257). Berlin: Springer.

    Google Scholar 

  • Orihuela, L., Millan, P., Vivas, C. & Rubio, F. R. (2010). Delay-dependent robust stability analysis for systems with interval delays, American Control Conference (ACC) (pp. 4993–4998). Baltimore.

  • Park, P., & Ko, J. W. (2007). Stability and robust stability for systems with a time-varying delay. Automatica, 43(10), 1855–1858.

    Article  MathSciNet  MATH  Google Scholar 

  • Peng, C., & Han, Q.-L. (2011). Delay-range-dependent robust stabilization for uncertain T–S fuzzy control systems with interval time-varying delays. Information Sciences, 181(19), 4287–4299.

    Article  MathSciNet  MATH  Google Scholar 

  • Peng, C., Yue, D., & Tian, Y.-C. (2009a). New approach on robust delay-dependent control for uncertain T–S fuzzy systems with interval time-varying delay. IEEE Transactions on Fuzzy Systems, 17(4), 890–900.

    Article  Google Scholar 

  • Peng, C., Yue, D., Yang, T.-C., & Tian, E. G. (2009b). On delay-dependent approach for robust stability and stabilization of T–S fuzzy systems with constant delay and uncertainties. IEEE Transactions on Fuzzy Systems, 17(5), 1143–1156.

    Article  Google Scholar 

  • Shao, H. (2009). New delay-dependent stability criteria for systems with interval delay. Automatica, 45(3), 744–749.

    Article  MathSciNet  MATH  Google Scholar 

  • Souza, F., Mozelli, L., & Palhares, R. (2009). On stability and stabilization of T–S fuzzy time-delayed systems. IEEE Transactions on Fuzzy Systems, 17(6), 1450–1455.

    Article  MathSciNet  Google Scholar 

  • Sugeno, M., & Kang, G. (1988). Structure identification of fuzzy model. Fuzzy Sets and Systems, 28(1), 15–33.

    Article  MathSciNet  MATH  Google Scholar 

  • Sun, J., Liu, G. P., Chen, J., & Rees, D. (2010). Improved delay-range-dependent stability criteria for linear systems with time-varying delays. Automatica, 46(2), 466–470.

    Article  MathSciNet  MATH  Google Scholar 

  • Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics, 15(1), 116–132.

    Google Scholar 

  • Tanaka, K., Ohtake, H., & Wang, H. (2007). A descriptor system approach to fuzzy control system design via fuzzy lyapunov functions. IEEE Transactions on Fuzzy Systems, 15(3), 333–341.

    Article  Google Scholar 

  • Tanaka, K., & Wang, H. O. (2001). Fuzzy control systems design and analysis: A linear matrix inequality approach. New York: Wiley.

  • Tanscheit, R., Gomide, F., & Teixeira, M. C. M. (2007). Modelagem e controle nebuloso. In L. A. Aguirre (Ed.), Enciclopédia de Automática: Controle & Automação (Vol. 3, pp. 283–324). Sao Paulo: Blucher.

    Google Scholar 

  • Teixeira, M. C. M., & Assunção, E. (2007). Extensões para sistemas não-lineares. In L. A. Aguirre (Ed.), Enciclopédia de Automática: Controle & Automação (Vol. 1, pp. 218–243). Sao Paulo: Blucher.

    Google Scholar 

  • Teixeira, M. C. M., Pietrobom, H. C., & Assunção, E. (2000). Novos resultados sobre a estabilidade e controle de sistemas não-lineares utilizando modelos fuzzy e LMI. SBA: Controle & Automação, 11(1), 37–48.

    Google Scholar 

  • Tian, E., & Peng, C. (2006). Delay-dependent stability analysis and synthesis of uncertain T–S fuzzy systems with time-varying delay. Fuzzy Sets and Systems, 157(4), 544–559.

    Article  MathSciNet  MATH  Google Scholar 

  • Tognetti, E., Oliveira, R., & Peres, P. (2011). Selective \(H_{2}\) and \(H_{\infty }\) stabilization of Takagi-Sugeno fuzzy systems. IEEE Transactions on Fuzzy Systems, 19(5), 890–900.

    Article  Google Scholar 

  • Yoneyama, J. (2007). New delay-dependent approach to robust stability and stabilization for Takagi-Sugeno fuzzy time-delay systems. Fuzzy Sets and Systems, 158(20), 2225–2237.

    Article  MathSciNet  MATH  Google Scholar 

  • Zhao, L., Gao, H. & Shi, P. (2011). Stability and stabilization of T-S fuzzy systems with time-varying delay: An input-output approach, 50th IEEE Conference on Decision and, Control, (pp. 8285–8290).

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Correspondence to Luis Felipe da Cruz Figueredo.

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Figueredo, L.F.d.C., Ishihara, J.Y., Borges, G.A. et al. Delay-Dependent Robust Stability Analysis for Time-Delay T–S Fuzzy Systems with Nonlinear Local Models. J Control Autom Electr Syst 24, 11–21 (2013). https://doi.org/10.1007/s40313-013-0007-4

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