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Stochastic Switched Sampled-Data Control for Uncertain Fuzzy Systems with Packet Dropout

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Abstract

This paper addresses the stability and stabilization problems of uncertain Takagi–Sugeno (T-S) fuzzy system with control packet dropout. The process of packet loss is proposed, which is modeled according to some white noise sequences of Bernoulli distribution. Then, under the zero-input strategy, a newly stochastic switched sampled-data controller is introduced. Based on the Lyapunov function method, a novel Lyapunov–Krasovskii (LKF) function is constructed via introducing a fuzzy membership functions (FMFs), which can use the information about the actual sampling pattern. Each term of the LKF need not be positive, but it needs to be positive at sampling instants. Using the reciprocally convex method and relaxed free-matrix-based (FMB) integral inequality, novel stabilization criteria are established to guarantee that the T-S fuzzy system is stochastic stable when the control packet dropout occurs in a random way. Based on the linear matrix inequalities (LMIs), a fuzzy controller design algorithm for sampled data is presented to obtain a larger sampling interval. Finally, two numerical examples are used to verify the effectiveness and advantages of the proposed method.

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References

  1. Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. B Cybern. 15(1), 116–132 (1985)

    Article  Google Scholar 

  2. Gao, Q., Feng, G., Dong, D., Liu, L.: Universal fuzzy models and universal fuzzy controllers for discrete-time nonlinear systems. IEEE Trans. Cybern. 45(5), 880–887 (2014)

    Google Scholar 

  3. Gao, Q., Feng, G., Wang, Y., Qiu, J.: Universal fuzzy models and universal fuzzy controllers for stochastic nonaffine nonlinear systems. IEEE Trans. Fuzzy Syst. 21(2), 328–341 (2012)

    Article  Google Scholar 

  4. Shen, H., Chen, M., Wu, Z.G., Cao, J., Park, J.H.: Reliable event-triggered asynchronous extended passive control for semi-Markov jump fuzzy systems and its application. IEEE Trans. Fuzzy Syst. 28(8), 1708–1722 (2019)

    Google Scholar 

  5. Kwon, O., Park, M.J., Park, J.H., Lee, S.M.: Stability and stabilization of T-S fuzzy systems with time- varying delays via augmented Lyapunov-Krasovskii functionals. Inf. Sci. 372, 1–15 (2016)

    Article  MathSciNet  Google Scholar 

  6. Lian, Z., He, Y., Zhang, C.K., Wu, M.: Stability and stabilization of T-S fuzzy systems with time-varying de- lays via delay-product-type functional method. IEEE Trans. Cybern. 50(6), 2580–2589 (2019)

    Article  Google Scholar 

  7. Wang, L., Lam, H.K.: A new approach to stability and stabilization analysis for continuous-time T-S fuzzy systems with time delay. IEEE Trans. Fuzzy Syst. 26(4), 2460–2465 (2017)

    Article  Google Scholar 

  8. Ahammed, A.K., Azeem. M.F.: Robust stabilization and control of Takagi-Sugeno fuzzy systems with parameter uncertainties and disturbances via state feedback and output feedback. Int. J. Fuzzy Syst. 21(8), 2556-2574 (2019)

    Article  MathSciNet  Google Scholar 

  9. Chang, X.H., Zhang, L., Park, J.H.: Robust static output feedback \(H_{\infty }\) control for uncertain fuzzy systems. Fuzzy Sets Syst. 273, 87–104 (2015)

    Article  Google Scholar 

  10. Kwon, O., Park, M.J., Lee, S.M., Park, J.H.: Augmented Lyapunov-Krasovskii functional approaches to robust stability criteria for uncertain T-S fuzzy systems with time-varying delays. Fuzzy Sets Syst. 201, 1–19 (2012)

    Article  MathSciNet  Google Scholar 

  11. Peng, C., Fei, M.R.: An improved result on the stability of uncertain T-S fuzzy systems with interval time-varying delay. Fuzzy Sets Syst. 212, 97–109 (2013)

    Article  MathSciNet  Google Scholar 

  12. Wang, Y., Shen, H., Karimi, H.R., Duan, D.: Dissipativity-based fuzzy integral sliding mode control of continuous-time T-S fuzzy systems. IEEE Trans. Fuzzy Syst. 26(3), 1164–1176 (2017)

    Article  Google Scholar 

  13. Yan, H., Wang, T., Zhang, H., Shi, H.: Event-triggered \(H_{\infty }\) control for uncertain networked T-S fuzzy systems with time delay. Neurocomputing 157, 273–279 (2015)

    Article  Google Scholar 

  14. Vadivel, P., Sakthivel, R., Mathiyalagan, K., Thangaraj, P.: Robust stabilisation of non-linear uncertain T-S fuzzy systems by \(H_{\infty }\) control. IET Control Theory Appl. 6(16), 2556–2566 (2012)

    Article  MathSciNet  Google Scholar 

  15. Lian, Z., He, Y., Zhang, C.K., Wu, M.: Further robust stability analysis for uncertain T-S fuzzy systems with time-varying delay via relaxed integral inequality. Inf. Sci. 409, 139–150 (2017)

    Article  Google Scholar 

  16. Du, H., Qian, C., Li, S., Chu, Z.: Global sampled-data output feedback stabilization for a class of uncertain nonlinear systems. Automatica 99, 403–411 (2019)

    Article  MathSciNet  Google Scholar 

  17. Lee, T.H., Park, J.H.: New methods of fuzzy sampled-data control for stabilization of chaotic systems? IEEE Trans. Syst. Man. Cybern. Syst. 48(12), 2026–2034 (2018)

    Article  Google Scholar 

  18. Luo, J., Liu, X., Tian, W., Zhong, S., Shi, K.: Nonfragile sampled-data filtering of uncertain fuzzy systems with time-varying delays. IEEE Trans. Syst. Man Cybern. Syst. (2019). https://doi.org/10.1109/TSMC.2019.2946189

    Article  Google Scholar 

  19. Peng, C., Han, Q.L., Yue, D., Tian, E.: Sampled-data robust \(H_{\infty }\) control for T-S fuzzy systems with time delay and uncertainties. Fuzzy Sets Syst. 179(1), 20–33 (2011)

    Article  MathSciNet  Google Scholar 

  20. Lee, T.H., Park, J.H.: Improved criteria for sampled-data synchronization of chaotic Lur’e systems using two new approaches. Nonlinear. Anal. Hybrid Syst. 24, 132–145 (2017)

    Article  MathSciNet  Google Scholar 

  21. Sun, S.X., Zhang, H.G., Qin, Z.C., Xi, R.P.: Delay-dependent \({H_\infty }\) guaranteed cost control for uncertain switched T-S fuzzy systems with multiple interval time-varying delays. IEEE Trans. Fuzzy Syst. (2020). https://doi.org/10.1109/TFUZZ.2020.2968877

    Article  Google Scholar 

  22. Wang, Z.P., Wu, H.N.: On fuzzy sampled-data control of chaotic systems via a time-dependent Lyapunov functional approach. IEEE Trans. Cybern. 45(4), 819–829 (2014)

    Article  MathSciNet  Google Scholar 

  23. Li, X.Y., Ma, D.Z., Xie, X.P., Sun, Q.Y.: Fault-Tolerant synchronization of chaotic systems with fuzzy sampled data controller based on adaptive event-triggered scheme. Int. J. Fuzzy Syst. 22(8), 917–929 (2020)

    Article  MathSciNet  Google Scholar 

  24. Liang, X.Y., Xia, J.W., Chen, G.L., Zhang, H.S.: Dissipativity-based non-fragile sampled-data control for fuzzy Markovian jump systems. Int. J. Fuzzy Syst. 21(6), 1709–1723 (2020)

    Article  MathSciNet  Google Scholar 

  25. Liu, Y., Park, J.H., Guo, B.Z., Shu, Y.: Further results on stabilization of chaotic systems based on fuzzy memory sampled-data control. IEEE Trans. Fuzzy Syst. 26(2), 1040–1045 (2017)

    Article  Google Scholar 

  26. Wu, Z.G., Shi, P., Su, H., Chu, J.: Sampled-data fuzzy control of chaotic systems based on a T-S fuzzy model. IEEE Trans. Fuzzy Syst. 22(1), 153–163 (2013)

    Article  Google Scholar 

  27. Zhang, R., Zeng, D., Park, J.H.: A new approach to stabilization of chaotic systems with nonfragile fuzzy proportional retarded sampled-data control. IEEE Trans. Syst. Man Cybern. Syst. 49(9), 3218–3229 (2019)

    Article  Google Scholar 

  28. Wu, Z.G., Dong, S.L., Shi, P., Zhang, D., Huang, T.W.: Reliable filter design of T-S fuzzy switched systems with imprecise modes. IEEE Trans. Cybern. 50(5), 1941–1951 (2020)

    Article  Google Scholar 

  29. Han, J., Zhang, H.G., Liu, X.H., Wei, X.J.: Dissipativity-based fault detection for uncertain switched fuzzy systems with unmeasurable premise variables. IEEE Trans. Fuzzy Syst. 27(12), 2421–2432 (2019)

    Article  Google Scholar 

  30. Wang, M., Qiu, J., Chadli, M., Wang, M.: A switched system approach to exponential stabilization of sampled-data T-S fuzzy systems with packet dropouts. IEEE Trans. Cybern. 46(12), 3145–3156 (2015)

    Article  Google Scholar 

  31. Luo, J., Li, M., Liu, X., Tian, W., Zhong, S., Shi, K.: Stabilization analysis for fuzzy systems with a switched sampled-data control. J. Franklin Inst. 357(1), 39–58 (2020)

    Article  MathSciNet  Google Scholar 

  32. Dong, H., Wang, Z., Gao, H.: \(H_{\infty }\) fuzzy control for systems with repeated scalar nonlinearities and random packet losses. IEEE Trans. Fuzzy Syst. 17(2), 440–450 (2009)

    Article  Google Scholar 

  33. Xie, X.P., Yue, D., Hu, S.L.: Fuzzy control design of nonlinear systems under unreliable communication links: a systematic homogenous polynomial approach. Inf. Sci. 370, 763–771 (2016)

    Article  Google Scholar 

  34. Lee, T.H., Park, J.H.: Stability analysis of sampled-data systems via free-matrix-based time-dependent discontinuous Lyapunov approach. IEEE Trans. Autom. Control 62(7), 3653–3657 (2017b)

    Article  MathSciNet  Google Scholar 

  35. Park, P., Ko, J.W., Jeong, C.: Reciprocally convex approach to stability of systems with time-varying delays. Automatica 47(1), 235–238 (2011)

    Article  MathSciNet  Google Scholar 

  36. Shao, H., Han, Q.L., Zhang, Z., Zhu, X.: Sampling-interval-dependent stability for sampled-data systems with state quantization. Int. J. Robust Nonlinear Control 24(17), 2995–3008 (2014)

    Article  MathSciNet  Google Scholar 

  37. Ge, C., Shi, Y., Park, J.H., Hua, C.: Robust \(H_{\infty }\) stabilization for T-S fuzzy systems with time-varying delays and memory sampled-data control. Appl. Math. Comput. 346, 500–512 (2019)

    Article  MathSciNet  Google Scholar 

  38. Zhu, X.L., Chen, B., Yue, D., Wang, Y.: An improved input delay approach to stabilization of fuzzy systems under variable sampling. IEEE Trans. Fuzzy Syst. 20(2), 330–341 (2012)

    Article  Google Scholar 

Download references

Acknowledgements

This paper is partially supported by the National Key Research and Development Plan (2018YFC0808104), the National Natural Science Foundation Fund (51874012), the Hebei Natural Science Foundation Fund (E2020209074), the Hebei Natural Science Foundation–Steel and Iron Foundation Fund (E2019105123), the Hebei Education Department Foundation Fund (ZD2019311).

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Correspondence to Chao Ge or Jiayong Zhang.

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Ge, C., Yang, L., Zhao, Z. et al. Stochastic Switched Sampled-Data Control for Uncertain Fuzzy Systems with Packet Dropout. Int. J. Fuzzy Syst. 23, 145–157 (2021). https://doi.org/10.1007/s40815-020-00992-w

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  • DOI: https://doi.org/10.1007/s40815-020-00992-w

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