This paper is concerned with the input-to-state stability (ISS) problem for a class of impulsive switched nonlinear systems with time delays. By utilising the Takagi-Sugeno (T-S) fuzzy method, the subsystems and impulses are designed for different fuzzy rules and membership functions, which can increase the degree of freedom and flexibility of designing. Moreover, based on admissible edge-dependent average dwell time (AED-ADT) and mode-dependent bounded maximum average dwell time (MD-BMADT), we establish a unified bounded admissible edge-dependent average dwell time (BAED-ADT) criterion for nonlinear systems. Then, the ISS property is also derived for impulsive switched T-S fuzzy systems when the system is with all stable, some unstable, and all unstable subsystems. Meanwhile, the slow and fast switching methods are used for stable or unstable subsystems. By employing the new BAED-ADT method and admissible edge-dependent average impulsive interval (AED-AII) technique, some new sufficient criteria of a "unified" ISS for impulsive switched systems are derived by constructing the time-scheduled multiple Lyapunov functions. Finally, several illustrative examples are provided to illustrate our results.
Citation: Suzhen Ran. Unified stability criteria for impulsive switched T-S fuzzy systems with time delays under the bounded admissible edge-dependent average dwell time[J]. AIMS Mathematics, 2026, 11(6): 18845-18868. doi: 10.3934/math.2026767
This paper is concerned with the input-to-state stability (ISS) problem for a class of impulsive switched nonlinear systems with time delays. By utilising the Takagi-Sugeno (T-S) fuzzy method, the subsystems and impulses are designed for different fuzzy rules and membership functions, which can increase the degree of freedom and flexibility of designing. Moreover, based on admissible edge-dependent average dwell time (AED-ADT) and mode-dependent bounded maximum average dwell time (MD-BMADT), we establish a unified bounded admissible edge-dependent average dwell time (BAED-ADT) criterion for nonlinear systems. Then, the ISS property is also derived for impulsive switched T-S fuzzy systems when the system is with all stable, some unstable, and all unstable subsystems. Meanwhile, the slow and fast switching methods are used for stable or unstable subsystems. By employing the new BAED-ADT method and admissible edge-dependent average impulsive interval (AED-AII) technique, some new sufficient criteria of a "unified" ISS for impulsive switched systems are derived by constructing the time-scheduled multiple Lyapunov functions. Finally, several illustrative examples are provided to illustrate our results.
| [1] | D. Liberzon, Switching in systems and control, Boston: Birkhauser, 2003. http://dx.doi.org/10.1007/978-1-4612-0017-8 |
| [2] |
J. Lian, C. Li, B. Xia, Sampled-data control of switched linear systems with application to an f-18 aircraft, IEEE Trans. Ind. Electron., 64 (2017), 1332–1340. http://dx.doi.org/10.1109/TIE.2016.2618872 doi: 10.1109/TIE.2016.2618872
|
| [3] |
P. Wang, J. Zhao, Feedback dissipativity and stabilization for switched positive systems with a combined switch ing law, IEEE Trans. Circuits II, 67 (2019), 2572–2576. http://dx.doi.org/10.1109/TCSII.2019.2962283 doi: 10.1109/TCSII.2019.2962283
|
| [4] |
P. Wang, D. Yang, Stability and L1-gain analysis for switched positive fuzzy systems with time-delay: a state dependent switching policy, Fuzzy Set. Syst., 464 (2023), 108440. http://dx.doi.org/10.1016/j.fss.2022.11.011 doi: 10.1016/j.fss.2022.11.011
|
| [5] |
J. M. Hu, Y. W. Wang, J. W. Xiao, W. Yang, L1-gain analysis and control of impulsive positive systems with interval uncer tainty and time delay, J. Franklin I., 356 (2019), 9180–9205. http://dx.doi.org/10.1016/j.jfranklin.2019.08.010 doi: 10.1016/j.jfranklin.2019.08.010
|
| [6] |
T. Liu, B. Wu, L. Liu, Y. Wang Asynchronously finite-time control of discrete impulsive switched positive time-delay systems, J. Franklin I., 352 (2015), 4503–4514. http://dx.doi.org/10.1016/j.jfranklin.2015.06.015 doi: 10.1016/j.jfranklin.2015.06.015
|
| [7] |
Y. H. Ju, F. W. Meng, Y. G. Sun, Exponential stability of switched linear impulsive time-varying system and its application, J. Franklin I., 359 (2022), 5619–5633. http://dx.doi.org/10.1016/j.jfranklin.2022.05.024 doi: 10.1016/j.jfranklin.2022.05.024
|
| [8] |
L. J. Gao, Z. B. Cao, M. Zhang, Q. X. Zhu, Input-to-state stability for hybrid delayed systems with admissible edge-dependent switching signals, J. Franklin I., 357 (2020), 8823–8850. http://dx.doi.org/10.1016/j.jfranklin.2020.06.008 doi: 10.1016/j.jfranklin.2020.06.008
|
| [9] |
T. Takagi, M. Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Syst. Man Cy., SMC-15 (1985), 116–132. http://dx.doi.org/10.1109/TSMC.1985.6313399 doi: 10.1109/TSMC.1985.6313399
|
| [10] |
H. J. Gao, X. M. Liu, J. Lam, Stability analysis and stabilization for discrete-time fuzzy systems with time-varying delay, IEEE Trans. Syst. Man Cy. B, 39 (2009), 306–317. http://dx.doi.org/10.1109/TSMCB.2008.2003449 doi: 10.1109/TSMCB.2008.2003449
|
| [11] |
M. Li, P. Shi, M. Liu, Y. Zhang, S. Wang, Event-triggered-based adaptive sliding mode control for T-S fuzzy systems with actuator failures and signal quantization, IEEE Trans. Fuzzy Syst., 29 (2021), 1363–1374. http://dx.doi.org/10.1109/TFUZZ.2020.2974175 doi: 10.1109/TFUZZ.2020.2974175
|
| [12] |
G. Yang, F. Hao, L. Zhang, B. Li, Actuator saturation control of continuous-time positive switched T-S fuzzy systems, J. Franklin I., 358 (2021), 8862–8885. http://dx.doi.org/10.1016/j.jfranklin.2021.09.001 doi: 10.1016/j.jfranklin.2021.09.001
|
| [13] |
J. Zhang, W. H. Chen, X. Lu, Robust fuzzy stabilization of nonlinear time-delay systems subject to impulsive perturbations, Commun. Nonlinear Sci., 80 (2020), 104953. http://dx.doi.org/10.1016/j.cnsns.2019.104953 doi: 10.1016/j.cnsns.2019.104953
|
| [14] |
J. H. Li, H. M. Wang, Fuzzy switching function-based sliding mode controller design for T-S fuzzy descriptor systems, Inform. Sciences, 624 (2023), 344–360. http://dx.doi.org/10.1016/j.ins.2022.12.073 doi: 10.1016/j.ins.2022.12.073
|
| [15] |
W. Sun, S. Su, Y. Wu, J. Xia, V. Nguyen, Adaptive fuzzy control with high-order barrier Lyapunov functions for high-order uncertain nonlinear systems with full-state constraints, IEEE Trans. Cybernetics, 50 (2019), 3424–3432. http://dx.doi.org/10.1109/TCYB.2018.2890256 doi: 10.1109/TCYB.2018.2890256
|
| [16] |
W. Sun, S. F. Su, Y. Wu, J. Xia, Novel adaptive fuzzy control for output constrained stochastic nonstrict feedback nonlinear systems, IEEE Trans. Fuzzy Syst., 29 (2020), 1188–1197. http://dx.doi.org/10.1109/TFUZZ.2020.2969909 doi: 10.1109/TFUZZ.2020.2969909
|
| [17] |
J. Joh, Y. H. Chen, R. Langari, On the stability issues of linear Takagi-Sugeno fuzzy models, IEEE Trans. Fuzzy Syst., 6 (1998), 402–410. http://dx.doi.org/10.1109/91.705508 doi: 10.1109/91.705508
|
| [18] |
G. Feng, C. L. Chen, D. Sun, Y. Zhu, H$_{\infty}$ controller synthesis of fuzzy dynamic systems based on piecewise Lyapunov functions and bilinear matrix inequalities, IEEE Trans. Fuzzy Syst., 13 (2005), 94–103. http://dx.doi.org/10.1109/TFUZZ.2004.839662 doi: 10.1109/TFUZZ.2004.839662
|
| [19] |
J. Lam, H. J. Gao, C. H. Wang, Stability analysis for continuous systems with two additive time-varying delay components, Syst. Control Lett., 56 (2007), 16–24. http://dx.doi.org/10.1016/j.sysconle.2006.07.005 doi: 10.1016/j.sysconle.2006.07.005
|
| [20] |
J. L. Zhang, H. G. Zhang, F. S. Yang, S. Wang, Robust fault detection filter design for a class of time-delay systems via equivalent transformation, J. Control Theory Appl., 11 (2013), 54–60. http://dx.doi.org/10.1007/s11768-013-1097-z doi: 10.1007/s11768-013-1097-z
|
| [21] | J. H. Park, T. H. Li, Y. Liu, J. Chen, Dynamic systems with time delays: stability and control, Singapore: Springer-Nature, 2019. http://dx.doi.org/10.1007/978-981-13-9254-2 |
| [22] |
Y. Tian, Y. Sun, Exponential stability of switched nonlinear time-varying systems with mixed delays: comparison principle, J. Franklin I., 357 (2020), 6918–6931. http://dx.doi.org/10.1016/j.jfranklin.2020.04.047 doi: 10.1016/j.jfranklin.2020.04.047
|
| [23] |
O. Kwon, S. Lee, M. Park, S. Lee, Augmented zero equality approach to stability for linear systems with time-varying delay, Appl. Math. Comput., 381 (2020), 125329. http://dx.doi.org/10.1016/j.amc.2020.125329 doi: 10.1016/j.amc.2020.125329
|
| [24] |
L. Zhang, L. He, Y. Song, New results on stability analysis of delayed systems derived from extended Wirtinger's integral inequality, Neurocomputing, 283 (2018), 98–106. http://dx.doi.org/10.1016/j.neucom.2017.12.044 doi: 10.1016/j.neucom.2017.12.044
|
| [25] |
W. Zheng, H. Wang, F. Sun, S. Wen, Z. Zhang, H. Wang, New stability criteria for asymptotic stability of time-delay systems via integral inequalities and Jensen inequalities, J. Inequal. Appl., 2019 (2019), 30. http://dx.doi.org/10.1186/s13660-019-1984-z doi: 10.1186/s13660-019-1984-z
|
| [26] |
F. Long, L. Jiang, Y. He, M. Wu, Stability analysis of systems with time-varying delay via novel augmented Lyapunov Krasovskii functionals and an improved integral inequality, Appl. Math. Comput., 357 (2019), 325–337. http://dx.doi.org/10.1016/j.amc.2019.04.004 doi: 10.1016/j.amc.2019.04.004
|
| [27] | D. Li, P. Cheng, L. Shang, Exponential stability analysis for stochastic functional differential systems with delayed impulsive effects: average impulsive interval approach, Proceedings of 35th Chinese Control Conference (CCC), 2016, 1707–1712. http://dx.doi.org/10.1109/ChiCC.2016.7553338 |
| [28] |
X. Xie, X. Liu, H. Xu, Synchronization of delayed coupled switched neural networks: mode-dependent average impulsive interval, Neurocomputing, 365 (2019), 261–272. http://dx.doi.org/10.1016/j.neucom.2019.07.045 doi: 10.1016/j.neucom.2019.07.045
|
| [29] |
L. Gao, H. Liu, J. Park, Z. Cao, Input-to-state stability of discrete-time switched delayed systems with delay dependent impulses: admissible edge-dependent average impulsive interval, Int. J. Robust Nonlin., 32 (2022), 6236–6266. http://dx.doi.org/10.1002/rnc.6132 doi: 10.1002/rnc.6132
|
| [30] |
X. Li, P. Li, Q. Wang, Input/output-to-state stability of impulsive switched systems, Syst. Control Lett., 116 (2018), 1–7. http://dx.doi.org/10.1016/j.sysconle.2018.04.001 doi: 10.1016/j.sysconle.2018.04.001
|
| [31] |
A. Y. Lu, G. H. Yang, Stabilization of switched systems with all modes unstable via periodical switching laws, Automatica, 122 (2020), 109150. http://dx.doi.org/10.1016/j.automatica.2020.109150 doi: 10.1016/j.automatica.2020.109150
|
| [32] |
Y. Liu, Q. Zhu, N. Zhao, Event-triggered adaptive fuzzy control for switched nonlinear systems with state constraints, Inform. Sciences, 562 (2021), 28–43. http://dx.doi.org/10.1016/j.ins.2021.01.030 doi: 10.1016/j.ins.2021.01.030
|
| [33] |
L. Zhang, H. Gao, Asynchronously switched control of switched linear systems with average dwell time, Automatica, 46 (2010), 953–958. http://dx.doi.org/10.1016/j.automatica.2010.02.021 doi: 10.1016/j.automatica.2010.02.021
|
| [34] |
X. Mao, H. Zhu, W. Chen, H. Zhang, New results on stability of switched continuous-time systems with all subsystems unstable, ISA Trans., 87 (2019), 28–33. http://dx.doi.org/10.1016/j.isatra.2018.11.042 doi: 10.1016/j.isatra.2018.11.042
|
| [35] |
C. Liu, X. Mao, X. Xu, H. Zhang, Stability analysis of discrete-time switched T-S fuzzy systems with all subsystems unstable, IEEE Access, 7 (2019), 50412–50418. http://dx.doi.org/10.1109/ACCESS.2019.2911689 doi: 10.1109/ACCESS.2019.2911689
|
| [36] |
C. Liu, X. Mao, Q. Zheng, H. Zhang, Unified stability criteria for continuous-time switched T-S fuzzy systems, IET Control Theory Appl., 14 (2020), 2455–2461. http://dx.doi.org/10.1049/iet-cta.2019.1421 doi: 10.1049/iet-cta.2019.1421
|
| [37] |
L. Hou, X. Zhao, H. Sun, G. Zong, l$_{2}$-l$_{\infty}$ filtering of discrete-time switched systems via admissible edge-dependent switching signals, Syst. Control Lett., 113 (2018), 17–26. http://dx.doi.org/10.1016/j.sysconle.2017.10.005 doi: 10.1016/j.sysconle.2017.10.005
|
| [38] |
P. He, H. Zhang, S. F. Su, A sliding mode control method with variable convergence rate for nonlinear impulsive stochastic systems, IEEE Trans. Cybernetics, 55 (2025), 2213–2222. http://dx.doi.org/10.1109/TCYB.2025.3551668 doi: 10.1109/TCYB.2025.3551668
|
| [39] |
H. Geng, H. Zhang, S. Su, Asynchronously switched control with variable convergence rate for switched nonlinear systems: a persistent dwell-time scheme, IEEE Trans. Fuzzy Syst., 32 (2024), 6695–6707. http://dx.doi.org/10.1109/TFUZZ.2024.3459860 doi: 10.1109/TFUZZ.2024.3459860
|
| [40] |
T. Zhang, H. Zhang, X. Xie, Region stability/stabilization and H$_{\infty}$ control for discrete-time impulsive Takagi-Sugeno fuzzy systems, IEEE Trans. Fuzzy Syst., 32 (2024), 3410–3419. http://dx.doi.org/10.1109/TFUZZ.2024.3372936 doi: 10.1109/TFUZZ.2024.3372936
|
| [41] |
T. Sun, T. Liu, X. M. Sun, Stability analysis of cyclic switched linear systems: an average cycle dwell time approach, Inform. Sciences, 544 (2021), 227–237. http://dx.doi.org/10.1016/j.ins.2020.07.053 doi: 10.1016/j.ins.2020.07.053
|
| [42] |
E. D. Sontag, Smooth stabilization implies coprime factorization, IEEE Trans. Automat. Contr., 34 (1989), 435–443. http://dx.doi.org/10.1109/9.28018 doi: 10.1109/9.28018
|