Abstract
In this paper, the resilient observer-based output feedback controller is designed for a class of networked T–S fuzzy systems under a hybrid-triggered scheme and mismatched membership functions. In order to improve network bandwidth utilization, a hybrid-triggered scheme is introduced between the state observer and the controller, which is based on a switching between periodic sampling and an event-triggered scheme. Considering the inaccurate implementation of the parameters of the observer-based controller, a novel hybrid-triggered T–S fuzzy model is constructed. Sufficient conditions are established for the augmented fuzzy systems by using Lyapunov theory and the linear matrix inequality techniques. Furthermore, the observer-based controller gains are designed in terms of linear matrix inequalities. Finally, a numerical example is provided to demonstrate the usefulness of the proposed method.
Similar content being viewed by others
References
Ahn, C.K.: Takagi–Sugeno fuzzy receding horizon \(H_\infty \) chaotic synchronization and its application to the Lorenz system. Nonlinear Anal. Hybrid Syst. 9(1), 1–8 (2013)
Ahn, C.K.: Receding horizon disturbance attenuation for Takagi–Sugeno fuzzy switched dynamic neural networks. Inf. Sci. 280, 53–63 (2014)
Liu, Y., Guo, B.Z., Ju, H.P.: Non-fragile \(H_\infty \) filtering for delayed Tagaki–Sugeno fuzzy systems with randomly occurring gain variations. Fuzzy Sets Syst. 316, 99–116 (2017)
Liu, Y., Ju, H.P., Guo, B.Z., Shu, Y.: Further results on stabilization of chaotic systems based on fuzzy memory sampled-data control. IEEE Trans. Fuzzy Syst. (2017). https://doi.org/10.1109/TFUZZ.2017.2686364
Dong, H., Wang, Z., Ho, D.W.C., Gao, H.: Robust \(H_{\infty }\) fuzzy output-feedback control with multiple probabilistic delays and multiple missing measurements. IEEE Trans. Fuzzy Syst. 18(4), 712–725 (2010)
Xie, X., Yue, D., Zhang, H., Xue, Y.: Control synthesis of discrete-time T–S fuzzy systems via a multi-instant homogenous polynomial approach. IEEE Trans. Cybern. 46(3), 630–640 (2016)
Liu, J., Fei, S., Tian, E., Gu, Z.: Co-design of event generator and filtering for a class of T–S fuzzy systems with stochastic sensor faults. Fuzzy Sets Syst. 273, 124–140 (2015)
Peng, C., Han, Q.L., Yue, D.: To transmit or not to transmit: a discrete event-triggered communication scheme for networked Takagi–Sugeno fuzzy systems. IEEE Trans. Fuzzy Syst. 21(1), 164–170 (2013)
He, S., Xu, H.: Non-fragile finite-time filter design for time-delayed Markovian jumping systems via T–S fuzzy model approach. Nonlinear Dyn. 80(3), 1159–1171 (2015)
Xie, X., Yue, D., Ma, T., Wang, X.: Further studies on control synthesis of discrete-time T–S fuzzy systems via augmented multi-indexed matrix approach. IEEE Trans. Cybern. 44(12), 2784–2791 (2014)
Li, H., Wu, C., Jing, X., Wu, L.: Fuzzy tracking control for nonlinear networked systems. IEEE Trans. Cybern. 47(8), 2020–2031 (2017)
Peng, C., Yue, D., Fei, M.R.: Relaxed stability and stabilization conditions of networked fuzzy control systems subject to asynchronous grades of membership. IEEE Trans. Fuzzy Syst. 22(5), 1101–1112 (2014)
Wang, B., Cheng, J., Al-Barakati, A., Fardoun, H.M.: A mismatched membership function approach to sampled-data stabilization for T–S fuzzy systems with time-varying delayed signals. Signal Process. 140, 161–170 (2017)
Zha, L., Fang, J.A., Liu, J., Tian, E.: Reliable control for hybrid-driven T–S fuzzy systems with actuator faults and probabilistic nonlinear perturbations. J. Frankl. Inst. 354(8), 3267–3288 (2017)
Ju, H.P., Jung, H.Y., Park, J.I., Lee, S.G.: Decentralized dynamic output feedback controller design for guaranteed cost stabilization of large-scale discrete-delay systems. Appl. Math. Comput. 156(2), 307–320 (2004)
Ju, H.P.: On design of dynamic output feedback controller for GCS of large-scale systems with delays in interconnections: LMI optimization approach. Appl. Math. Comput. 161(2), 423–432 (2005)
Ma, Y., Yang, P., Yan, Y., Zhang, Q.: Robust observer-based passive control for uncertain singular time-delay systems subject to actuator saturation. ISA Trans. 67, 9–18 (2017)
Zhou, J., Park, J.H., Ma, Q.: Non-fragile observer-based \(H_\infty \) control for stochastic time-delay systems. Appl. Math. Comput. 291, 69–83 (2016)
Zhang, L., Ning, Z., Zheng, W.X.: Observer-based control for piecewise-affine systems with both input and output quantization. IEEE Trans. Autom. Control 62, 5858–5865 (2017)
Li, H., Wu, C., Yin, S., Lam, H.K.: Observer-based fuzzy control for nonlinear networked systems under unmeasurable premise variables. IEEE Trans. Fuzzy Syst. 24(5), 1233–1245 (2016)
He, S., Song, J., Liu, F.: Robust finite-time bounded controller design of time-delay conic nonlinear systems using sliding mode control strategy. IEEE Trans. Syst. Man Cybern. Syst. (2017). https://doi.org/10.1109/TSMC.2017.2695483
He, S., Song, J.: Finite-time sliding mode control design for a class of uncertain conic nonlinear systems. IEEE/CAA J. Autom. Sin. 4(4), 809–816 (2017)
Lin, H., Su, H., Shu, Z., Wu, Z.G., Xu, Y.: Optimal estimation in UDP-like networked control systems with intermittent inputs: stability analysis and suboptimal filter design. IEEE Trans. Autom. Control 61(7), 1794–1809 (2016)
Lin, H., Su, H., Shi, P., Shu, Z., Lu, R., Wu, Z.G.: Optimal estimation and control for lossy network: stability, convergence, and performance. IEEE Trans. Autom. Control 62(9), 4564–4579 (2017)
Yang, Y., Yue, D., Dou, C.X.: Distributed adaptive output consensus control of a class of heterogeneous multi-agent systems under switching directed topologies. Inf. Sci. 345, 294–312 (2016)
Dou, C., Yue, D., Li, X., Xue, Y.: MAS based management and control strategies for integrated hybrid energy system. IEEE Trans. Ind. Inform. 12(4), 1332–1349 (2016)
Dou, C., Liu, B.: Multi-agent based hierarchical hybrid control for smart microgrid. IEEE Trans. Smart Grid 4(2), 771–778 (2013)
Zou, L., Wang, Z., Han, Q.-L., Zhou, D.: Ultimate boundedness control for networked systems with try-once-discard protocol and uniform quantization effects. IEEE Trans. Autom. Control (2017). https://doi.org/10.1109/TAC.2017.2713353
Liu, G.P.: Consensus and stability analysis of networked multiagent predictive control systems. IEEE Trans. Cybern. 47(4), 1114–1119 (2017)
Gu, Z., Yue, D., Tian, E.: On designing of an adaptive event-triggered communication scheme for nonlinear networked interconnected control systems. Inf. Sci. 422, 257–270 (2018)
Gu, Z., Tian, E., Liu, J.: Adaptive event-triggered control of a class of nonlinear networked systems. J. Frankl. Inst. 354(9), 3854–3871 (2017)
Dong, Y., Tian, E., Han, Q.L.: A delay system method for designing event-triggered controllers of networked control systems. IEEE Trans. Autom. Control 58(2), 475–481 (2013)
Liu, J., Xia, J., Tian, E., Fei, S.: Hybrid-driven-based \(H_\infty \) filter design for neural networks subject to deception attacks. Appl. Math. Comput. 320, 158–174 (2018)
Xing, L., Wen, C., Liu, Z., Su, H., Cai, J.: Event-triggered adaptive control for a class of uncertain nonlinear systems. IEEE Trans. Autom. Control 62(4), 2071–2076 (2017)
Liu, J., Wei, L., Tian, E., Fei, S., Cao, J.: \(H_\infty \) filtering for networked systems with hybrid-triggered communication mechanism and stochastic cyber attacks. J. Frankl. Inst. 354, 8490–8512 (2017)
Tang, Y., Gao, H., Kurths, J.: Robust \(H_\infty \) self-triggered control of networked systems under packet dropouts. IEEE Trans. Cybern. 46(12), 3294–3305 (2015)
Zhang, H., Yue, D., Yin, X., et al.: Finite-time distributed event-triggered consensus control for multi-agent systems. Inf. Sci. 339, 132–142 (2016)
Liu, J., Zha, L.J., Cao, J., Fei, S.: Hybrid-driven-based stabilization for networked control systems. IET Control Theory Appl. 10(17), 2279–2285 (2016)
Park, P.G., Ko, J.W., Jeong, C.: Reciprocally convex approach to stability of systems with time-varying delays. Automatica 47(1), 235–238 (2011)
El Ghaoui, L., Lebret, H.: Robust solutions to least-squares problems with uncertain data. SIAM J. Matrix Anal. Appl. 18(4), 1035–1064 (1997)
Peng, C., Ma, S., Xie, X.: Observer-based non-PDC control for networked T–S fuzzy systems with an event-triggered communication. IEEE Trans. Cybern. 47(8), 2279–2287 (2017)
Acknowledgements
This work is partly supported by the National Natural Science Foundation of China (Nos. 61403185, 61773218, 61473156), the Natural Science Foundation of Jiangsu Province of China (Nos. BK20171481, BK20161561), Six Talent Peaks Project in Jiangsu Province (No. 2015- DZXX-21), major project supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 15KJA120001), a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) and National Key Technologies Research and Development Program of China under Grant 2015BAD18B02.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Liu, J., Zha, L., Xie, X. et al. Resilient observer-based control for networked nonlinear T–S fuzzy systems with hybrid-triggered scheme. Nonlinear Dyn 91, 2049–2061 (2018). https://doi.org/10.1007/s11071-017-4002-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-017-4002-3