Abstract
In this paper, a fuzzy memory-based coupling sampled-data control (SDC) is designed for nonlinear systems through the switched approach. Compared with the usual SDC scheme, by employing the Bernoulli sequence, a more general coupling switched SDC that involving the signal transmission delay is designed. The Lyapunov–Krasovskii functional (LKF) is presented with the available characteristics of the membership function, and a coupling sampling pattern, for the T-S fuzzy systems. Based on LKF, together with time derivative information of membership function, and the generalized N-order free-matrix-based inequality, the suitable conditions are obtained in terms of linear matrix inequalities (LMIs) for guaranteeing the asymptotic stability and stabilization of the concerned system. Then, the desired fuzzy coupling SDC gain is attained from the solvable LMIs. In the end, two examples are given to validate the derived theoretical results.
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References
Ali MS, Vadivel R, Alsaedi A, Ahmad B (2020) Extended dissipativity and event-triggered synchronization for T-S fuzzy Markovian jumping delayed stochastic neural networks with leakage delays via fault-tolerant control. Soft Comput 24(5):3675–3694
Aslam MS, Li Q (2019) Quantized dissipative filter design for Markovian switch T-S fuzzy systems with time-varying delays. Soft Comput 23(21):11313–11329
Cai X, Wang J, Zhong S, Shi K, Tang Y (2021) Fuzzy quantized sampled-data control for extended dissipative analysis of T-S fuzzy system and its application to WPGSs. J Frankl Inst 358(2):1350–1375
Cai X, Shi K, Zhong S, Wang J, Tang Y (2021) Dissipative analysis for high speed train systems via looped-functional and relaxed condition methods. Appl Math Model 96:570–583
Chen Z, Wang J, Ma K, Zhu P, He B, Zhang C (2021) Novel fuzzy event-triggered adaptive control for nonlinear systems with input hysteresis. Soft Comput 25(8):6619–6631
Coutinho PH, Araujo RF, Nguyen AT, Palhares RM (2020) A multiple-parameterization approach for local stabilization of constrained Takagi-Sugeno fuzzy systems with nonlinear consequents. Inf Sci 506:295–307
Ge C, Shi Y, Park JH, Hua C (2019) Robust \(H_\infty \) stabilization for T-S fuzzy systems with time-varying delays and memory sampled-data control. Appl Math Comput 346:500–512
Ge C, Park JH, Hua C, Guan X (2021) Dissipativity analysis for T-S fuzzy system under memory sampled-data control. IEEE Trans Cybern 51(2):961–969
Haddad WM, Chellaboina V (2011) Nonlinear dynamical systems and control: a Lyapunov-based approach. Princeton University Press, Princeton
Hua C, Wu S, Guan X (2020) Stabilization of T-S fuzzy system with time delay under sampled-data control using a new looped-functional. IEEE Trans Fuzzy Syst 28(2):400–407
Kalat AA (2019) A robust direct adaptive fuzzy control for a class of uncertain nonlinear MIMO systems. Soft Comput 23(19):9747–9759
Kim HS, Lee K (2020) Design of a fault tolerant sampled-data fuzzy observer with exponential time-varying gains. IEEE Access 8:68488–68498
Kim HS, Park JB, Joo YH (2018) A fuzzy Lyapunov–Krasovskii functional approach to sampled-data output-feedback stabilization of polynomial fuzzy systems. IEEE Trans Fuzzy Syst 26(1):366–373
Kuppusamy S, Joo YH (2020) Non-fragile retarded sampled-data switched control of T-S fuzzy systems and its applications. IEEE Trans Fuzzy Syst 28(10):2523–2532
Lee TH, Park JH (2018) New methods of fuzzy sampled-data control for stabilization of chaotic systems. IEEE Trans Syst Man Cybern Syst 48(12):2026–2034
Luo J, Li M, Liu X, Tian W, Zhong S, Shi K (2020) Stabilization analysis for fuzzy systems with a switched sampled-data control. J Frankl Inst 357(1):39–58
Mkaouar H, Boubaker O (2012) Chaos synchronization for master slave piecewise linear systems: application to Chua’s circuit. Commun Nonlinear Sci Numer Simul 17(3):1292–1302
Precup RE, Tomescu ML, Dragos CA (2014) Stabilization of Rössler chaotic dynamical system using fuzzy logic control algorithm. Int J Gen Syst 43(5):413–433
Qu Z, Zhang Z, Du Z, Zhao T (2020) Fuzzy optimal control for nonlinear systems with time-varying delay via sampled-data controller. Soft Comput 24(19):14743–14755
Sakthivel R, Boomipalagan K, Yong-Ki MA, Muslim M (2016) Sampled-data reliable stabilization of T-S fuzzy systems and its application. Complexity 21(S2):518–529
Seuret A (2012) A novel stability analysis of linear systems under asynchronous samplings. Automatica 48(1):177–182
Shen H, Su L, Park JH (2017) Reliable mixed \(H_\infty \)/passive control for T-S fuzzy delayed systems based on a semi-Markov jump model approach. Fuzzy Sets Syst 314:79–98
Shen H, Xing M, Wu ZG, Park JH (2020) Fault-tolerant control for fuzzy switched singular systems with persistent dwell-time subject to actuator fault. Fuzzy Sets Syst 392:60–76
Shi K, Wang J, Tang Y, Zhong S (2020) Reliable asynchronous sampled-data filtering of T-S fuzzy uncertain delayed neural networks with stochastic switched topologies. Fuzzy Sets Syst 381:1–25
Shi K, Wang J, Zhong S, Tang Y, Cheng J (2020) Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control. Fuzzy Sets Syst 394:40–64
Tang P, Ma Y (2019) Exponential stabilization and sampled-date \(H_\infty \) control for uncertain T-S fuzzy systems with time-varying delay. J Frankl Inst 356(9):4859–4887
Tian Y, Wang Z (2020) Extended dissipativity analysis of singular Takagi-Sugeno fuzzy systems with time delay via two improved techniques. Int J Syst Sci 51(11):2068–2078
Wang ZP, Wu HN (2015) On fuzzy sampled-data control of chaotic systems via a time-dependent Lyapunov functional approach. IEEE Trans Cybern 45(4):819–829
Wang Y, Xia Y, Zhou P (2017) Fuzzy-model-based sampled-data control of chaotic systems: a fuzzy time-dependent Lyapunov-Krasovskii functional approach. IEEE Trans Fuzzy Syst 25(6):1672–1684
Wang L, Liu J, Lam HK (2020) Further study on stabilization for continuous-time Takagi-Sugeno fuzzy systems with time delay. IEEE Trans Cybern 51(11):5637–5643
Wu ZG, Shi P, Su H, Chu J (2014) Sampled-data fuzzy control of chaotic systems based on a T-S fuzzy model. IEEE Trans Fuzzy Syst 22(1):153–163
Wu T, Cao J, Xiong L, Zhang H (2019) New stabilization results for semi-Markov chaotic systems with fuzzy sampled-data control. Complexity 2019:5305
Xia Y, Wang J, Meng B, Chen X (2020) Further results on fuzzy sampled-data stabilization of chaotic nonlinear systems. Appl Math Comput 379:125225
Yoneyama J (2012) Robust sampled-data stabilization of uncertain fuzzy systems via input delay approach. Inf Sci 198:169–176
Zeng HB, Teo KL, He Y, Wang W (2019a) Sampled-data-based dissipative control of T-S fuzzy systems. Appl Math Model 65:415–427
Zeng HB, Teo KL, He Y, Wang W (2019b) Sampled-data stabilization of chaotic systems based on a T-S fuzzy model. Inf Sci 483:262–272
Zeng HB, Liu XG, Wang W, Xiao SP (2019c) New results on stability analysis of systems with time-varying delays using a generalized free-matrix-based inequality. J Frankl Inst 356(13):7312–7321
Zhang Y (2016) Robust stability and \( H_ {\infty } \) control of discrete-time uncertain impulsive systems with time-varying delay. Circuits Syst Signal Process 35(11):3882–3912
Zhang R, Zeng D, Park JH, Liu Y, Zhong S (2019) A new approach to stabilization of chaotic systems with nonfragile fuzzy proportional retarded sampled-data control. IEEE Trans Cybern 49(9):3218–3229
Zhao X, Lin C, Chen B, Wang QG (2018) A novel Lyapunov–Krasovskii functional approach to stability and stabilization for T-S fuzzy systems with time delay. Neurocomputing 313:288–294
Zhao J, Xu S, Park JH (2020) Improved criteria for the stabilization of T-S fuzzy systems with actuator failures via a sampled-data fuzzy controller. Fuzzy Sets Syst 392:154–169
Zheng M, Yang S, Li L (2021) Aperiodic sampled-data control for chaotic system based on Takagi-Sugeno fuzzy model. Complexity 2021:1231
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This work is supported by UGC-SAP (DSA-I), New Delhi, India, File No. F. 510/7/DSA-1/2015 (SAP-I).
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B.V. contributed to conceptualization, methodology, software, writing—original draft, writing—review & editing. K.S. contributed to conceptualization, methodology, validation, software, writing—review & editing. P.M. contributed to conceptualization, validation, supervision, formal analysis, writing—review & editing.
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Visakamoorthi, B., Subramanian, K. & Muthukumar, P. Fuzzy membership function-dependent switched control for nonlinear systems with memory sampled-data information. Soft Comput 26, 9035–9048 (2022). https://doi.org/10.1007/s00500-022-07279-2
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DOI: https://doi.org/10.1007/s00500-022-07279-2