Abstract
This paper considers the control problem of T–S fuzzy systems with mixed time delays. Based on the time derivative data of the membership function of T–S fuzzy systems, fuzzy Lyapunov functions are designed by two methods, and observer-based switching controllers are obtained. One is to design fuzzy Lyapunov functions by loosening the requirement of positive quality of symmetric matrices. The other approach takes the controller’s form into account. First, the form of the system model is adjusted by comparing each state value involved in the system with the state value of the controller. Then, the fuzzy Lyapunov function is designed using the difference value of the comparison. Both of the above observer-based switching controllers can stabilize the system. Examples are provided to demonstrate the effectiveness of the switching controllers proposed in this paper.













Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. 15(1), 116–132 (1985)
Liu, Y., Wang, Y.Q.: Actuator and sensor fault estimation for discrete-time switched T-S fuzzy systems with time delay. J. Franklin Inst. 358, 1619–1634 (2021)
Sheng, Z.L., Wang, L.K., Lin, C., Chen, B.: A novel asymmetric Lyapunov-Krasovskii functional method to stability for TCS fuzzy systems with time-varying delay. Int. J. Fuzzy Syst. (2021). https://doi.org/10.1007/s40815-021-01176-w
Liu, J.L., Yang, M., Zha, L.J., Xie, X.P., Tian, E.G.: Multi-sensors-based security control for T-S fuzzy systems over resource-constrained networks. J. Franklin Inst. 357, 4286–4315 (2020)
Li, Y.H., Li, Y.L.: Robust \(L_1\) output tracking control for uncertain networked control systems described by T-S fuzzy model with distributed delays. Int. J. Syst. Sci. 48(15), 3296–3304 (2017)
Park, I.S., Kwon, N.K., Park, P.G.: Dynamic output-feedback control for singular T-S fuzzy systems using fuzzy Lyapunov functions. Nonlinear Dyn. 98, 1957–1971 (2019)
Su, X.J., Shi, P., Wu, L.G., Song, Y.D.: A novel control design on discrete-time Takagi-Sugeno fuzzy systems with time-varying delays. IEEE Trans. Fuzzy Syst. 21(4), 655–671 (2013)
Zhao, L., Gao, H.J., Karimi, H.R.: Robust stability and stabilization of uncertain T-S fuzzy systems with time-varying delay: an input-output approach. IEEE Trans. Fuzzy Syst. 21(5), 883–897 (2013)
Aslam, M.S., Chen, Z.R.: Observer-based dissipative output feedback control for network T-S fuzzy systems under time delays with mismatch premise. Nonlinear Dyn. 95, 2923–2941 (2019)
Zheng, W., Zhang, Z., Lam, H.K., Sun, F., Wen, S.: LMIs-based stability analysis and fuzzy-logic controller design for networked systems with sector nonlinearities: application in tunnel diode circuit. Expert Syst. Appl. 198, 116627 (2022)
Cai, X., Shi, K., She, K., Zhong, S., Wang, J., Yan, H.: New results for T-S fuzzy systems with hybrid communication delays. Fuzzy Sets Syst. 438, 1–24 (2022)
Hu, M., Park, J.H., Wang, Y.: Stabilization of positive systems with time delay via the Takagi-Sugeno fuzzy impulsive control. IEEE Trans. Cybern. 52(6), 4275–4285 (2022)
Ma, Y., Kong, C.: Dissipative asynchronous T-S fuzzy control for singular semi-Markovian jump systems. IEEE Trans. Cybern. 52(6), 5454–5463 (2022)
Sheng, Z., Lin, C., Chen, B., Wang, Q.: An asymmetric Lyapunov-Krasovskii functional method on stability and stabilization for T-S fuzzy systems with time delay. IEEE Trans. Fuzzy Syst. 30(6), 2135–2140 (2022)
Zhang, Y., Zhang, J., Liu, X.: Bifurcation analysis and \(H_\infty\) control of a stochastic competition model with time delay and harvesting. Nonlinear Dyn. (2022). https://doi.org/10.1007/s11071-022-07381-y
Mozelli, L.A., Souza, F.O., Palhares, R.M.: A new discretized Lyapunov-Krasovskii functional for stability analysis and control design of time-delayed T-S fuzzy systems. Int. J. Robust Nonlinear Control 21(1), 93–105 (2011)
Wang, L.K., Lam, H.K.: A new approach to stability and stabilization analysis for continuous-time Takagi-Sugeno fuzzy systems with time delay. IEEE Trans. Fuzzy Syst. 26(4), 2460–2465 (2018)
Wang, X., Yu, Y., Zhong, S., Shi, K., Yang, N., Zhang, D., Cai, J., Tashi, N.: Novel heterogeneous mode-dependent impulsive synchronization for piecewise T-S fuzzy probabilistic coupled delayed neural networks. IEEE Trans. Fuzzy Syst. 30(7), 2142–2156 (2022)
Fan, X., Wang, Z.: A fuzzy Lyapunov function method to stability analysis of fractional-order T-S fuzzy systems. IEEE Trans. Fuzzy Syst. 30(7), 2769–2776 (2022)
Ge, C., Liu, Z., Wang, L., Liu, Y.: Improved stability criteria of T-S fuzzy systems with sampled-data-based dissipative control. Appl. Math. Comput. 424, 127047 (2022)
Xie, W., Xu, B., Peng, C., Nguyen, A.T.: Membership functions integration approach for state feedback control of T-S fuzzy systems. Int. J. Fuzzy Syst. (2022). https://doi.org/10.1007/s40815-022-01309-9
Mao, J., Meng, X., Ding, D.: Fuzzy set-membership filtering for discrete-time nonlinear systems. IEEE/CAA J. Autom. Sin. 9(6), 1026–1036 (2022)
Chen, M., Lam, H.K., Xiao, B., Xuan, C.: Membership-function-dependent control design and stability analysis of interval type-2 sampled-data fuzzy-model-based control system. IEEE Trans. Fuzzy Syst. 30(6), 1614–1623 (2022)
Jin, Y., Kwon, W., Lee, S.: Further results on sampled-data \(H_\infty\) filtering for T-S fuzzy systems with asynchronous premise variables. IEEE Trans. Fuzzy Syst. 30(6), 1864–1874 (2022)
Hu, G.L., Wang, L.K., Liu, X.D.: A new approach to local \(H_\infty\) control for continuous-time T-S fuzzy models. J. Intell. Fuzzy Syst. 39, 213–220 (2020)
Wang, L.K., Lam, H.K.: Further study on observer design for continuous-time Takagi-Sugeno fuzzy model with unknown premise variables via average dwell time. IEEE Trans. Cybern. 50(11), 4855–4860 (2020)
Sung, H.C., Park, J.B., Joo, Y.H.: Robust observer-based fuzzy control for variable speed wind power system: LMI approach. Int. J. Control Autom. Syst. 9(6), 1103–1110 (2011)
Arioui, H., Nehaoua, L.: Unknown dynamics decoupling to overcome unmeasurable premise variables in Takagi-Sugeno observer design. IEEE Control Syst. Lett. 5(1), 61–66 (2021)
Jiang, B.P., Karimi, H.R., Yang, S.C., Gao, C.C., Kao, Y.G.: Observer-based adaptive sliding mode control for nonlinear stochastic markov jump systems via T-S fuzzy modeling: application to robot arm model. IEEE Trans. Ind. Electron. 68(1), 466–477 (2021)
Bergsten, P., Palm, R., Driankov, D.: Observers for Takagi-Sugeno fuzzy systems. IEEE Trans. Syst. Man Cybern. 32(1), 114–121 (2002)
Salem, A., Kardous, Z., Braiek, N.B., Ragot, J.: On the state observer based stabilization of Takagi-Sugeno systems with immeasurable premise variables. Int. J. Control Autom. Syst. 10(6), 1153–1163 (2012)
Lian, K.Y., Liou, J.J.: Output tracking control for fuzzy systems via output feedback design. IEEE Trans. Fuzzy Syst. 14(5), 628–639 (2006)
Xu, S.Y., Lam, J., Zhang, B.Y., Zou, Y.: New insight into delay-dependent stability of time-delay systems. Int. J. Robust Nonlinear Control 25, 961–970 (2015)
Seuret, A., Gouaisbaut, F.: Wirtinger-based integral inequality: application to time-delay systems. Automatica 49, 2860–2866 (2013)
Zhang, J., Liu, D., Ma, Y.: Delay-dependent stability analysis of nonlinear truck-trailer systems based on non-fragile memory sampled-data via fuzzy control. Int. J. Mach. Learn. Cybern. 12, 3475–3490 (2021)
Cheng, J., Park, J.H., Wang, H.: Event-triggered \(H_\infty\) control for T-S fuzzy nonlinear systems and its application to truck-trailer system. ISA Trans. 65, 62–71 (2016)
Widyotriatmo, A., Nazaruddin, Y.Y., Putranto, M., Ardhi, R.: Forward and backward motions path following controls of a truck-trailer with references on the head-truck and on the trailer. ISA Trans. 105, 349–366 (2020)
Luo, J., Liu, X., Tian, W., Zhong, S., Shi, K., Li, M.: Finite-time \(H_\infty\) reliable control for T-S fuzzy systems with variable sampling. Physica A 538, 122697 (2020)
Peng, C., Tian, Y.C., Tian, E.: Improved delay-dependent robust stabilization conditions of uncertain T-S fuzzy systems with time-varying delay. Fuzzy Sets Syst. 159(20), 2713–2729 (2008)
Zhang, Z., Chen, B., Lin, C.: New stability and stabilization conditions for T-S fuzzy systems with time delay. Fuzzy Sets Syst. 263, 82–91 (2015)
Sheng, Z., Lin, C., Chen, B., Wang, Q.: An asymmetric Lyapunov-Krasovskii functional method on stability and stabilization for T-S fuzzy systems with time delay. IEEE Trans. Fuzzy Syst. 30(6), 2135–2140 (2022)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Xu, M., Gu, J. & Xu, Z. Observer-Based Switching Control for T–S Fuzzy Systems with Mixed Time Delays. Int. J. Fuzzy Syst. 25, 1480–1494 (2023). https://doi.org/10.1007/s40815-022-01447-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40815-022-01447-0