Abstract
In this paper, the non-fragile distributed fault detection (FD) problem is discussed for delayed Markov jump systems over sensor networks under the weighted try-once-discard protocol, where the randomly switching nonlinearities and the randomly occurring faults are considered. Specifically, a non-fragile distributed FD filter is constructed, and the compact residual dynamic system is obtained in terms of augmentation technique. Subsequently, by applying the Lyapunov stability theory and Wirtinger inequality, sufficient conditions are derived to ensure that the nominal system corresponding to residual dynamic system is stochastically stable and stochastically strictly \((Q_1,Q_2,Q_3)\)-\(\gamma \) dissipative. On this basis, the explicit expressions of FD filter matrices are obtained by means of the linear matrix inequality method. At last, a simulation is provided to demonstrate the effectiveness of the proposed distributed FD scheme.
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All MATLAB codes used or analyzed during the current study are available from the corresponding author on reasonable request.
References
X. Bu, H. Dong, Z. Wang, H. Liu, Non-fragile distributed fault estimation for a class of nonlinear time-varying systems over sensor networks: the finite-horizon case. IEEE Trans. Signal Inf. Proc. Netw. 5(1), 61–69 (2019)
Y. Chen, C. Chen, A. Xue, Distributed non-fragile \(l_{2}\)-\(l_{\infty }\) filtering over sensor networks with random gain variations and fading measurements. Neurocomputing 338, 154–162 (2019)
W. Chen, J. Hu, X. Yu, D. Chen, Z. Wu, Robust fault detection for uncertain delayed systems with measurement outliers under stochastic communication protocol. IEEE Trans. Signal Inf. Proc. Netw. 8, 684–701 (2022)
W. Chen, J. Hu, X. Yu, D. Chen, J. Du, Robust fault detection for nonlinear discrete systems with data drift and randomly occurring faults under weighted try-once-discard protocol. Circuits Syst. Signal Process. 39(1), 111–137 (2020)
L. Chen, H. Liang, Y. Pan, T. Li, Human-in-the-loop consensus tracking control for UAV systems via an improved prescribed performance approach. IEEE Trans. Aerosp. Electron. Syst. (2023). https://doi.org/10.1109/TAES.2023.3304283
H. Dong, Z. Wang, H. Gao, Fault detection for Markovian jump systems with sensor saturations and randomly varying nonlinearities. IEEE Trans. Circuits Syst. I-Regul. Pap. 59(10), 2354–2362 (2012)
X. Dong, S. He, V. Stojanovic, Robust fault detection filter design for a class of discrete-time conic-type non-linear Markov jump systems with jump fault signals. IET Control Theory Appl. 14(14), 1912–1919 (2020)
D. Ding, Z. Wang, Q.-L. Han, A set-membership approach to event-triggered filtering for general nonlinear systems over sensor networks. IEEE Trans. Autom. Control 65(4), 1792–1799 (2020)
X. Ge, Q.-L. Han, Distributed fault detection over sensor networks with Markovian switching topologies. Int. J. Gen. Syst. 43(4), 305–318 (2014)
Z. Gu, P. Shi, D. Yue, Z. Ding, Decentralized adaptive event-triggered \(H_{\infty }\) filtering for a class of networked nonlinear interconnected systems. IEEE Trans. Cybern. 49(5), 1570–1579 (2019)
Y. Gao, F. Xiao, J. Liu, R. Wang, Distributed soft fault detection for interval type-2 fuzzy-model-based stochastic systems with wireless sensor networks. IEEE Trans. Ind. Inform. 15(1), 334–347 (2019)
Z. Gu, D. Yue, C. Ahn, S. Yan, X. Xie, Segment-weighted information-based event-triggered mechanism for networked control systems. IEEE Trans. Cybern. 53(8), 5336–5345 (2023)
Z. Gu, D. Yue, J. Park, X. Xie, Memory-event-triggered fault detection of networked IT2 T-S fuzzy systems. IEEE Trans. Cybern. 53(2), 743–752 (2022)
C. Gong, G. Zhu, P. Shi, R. Agarwal, Distributed fault detection and control for Markov jump systems over sensor networks with round-robin protocol. IEEE Trans. Circuits Syst. I-Regul. Pap. 68(8), 3422–3435 (2021)
J. Hu, W. Chen, Z. Wu, D. Chen, X. Yi, Design of protocol-based finite-time memory fault detection scheme with circuit system application. IEEE Trans. Syst. Man Cybern. -Syst. (2024). https://doi.org/10.1109/TSMC.2024.3354940
J. Hu, Z. Hu, R. Caballero-Aguila, C. Chen, S. Fan, X. Yi, Distributed resilient fusion filtering for nonlinear systems with multiple missing measurements via dynamic event-triggered mechanism. Inf. Sci. 637, 118950 (2023). https://doi.org/10.1016/j.ins.2023.118950
J. Hu, R. Luo, H. Dong, C. Chen, H. Liu, Dynamic event-triggered fusion filtering for multi-sensor rectangular descriptor systems with random state delay. IEEE Trans. Signal Inf. Proc. Netw. 9, 836–849 (2023)
J. Hu, J. Li, H. Yan, H. Liu, Optimized distributed filtering for saturated systems with amplify-and-forward relays over sensor networks: a dynamic event-triggered approach. IEEE Trans. Neural Netw. Learn. Syst. (2023). https://doi.org/10.1109/TNNLS.2023.3308192
J. Hu, C. Wang, R. Caballero-Aguila, H. Liu, Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations. Commun. Nonlinear Sci. Numer. Simul. 119, 107093 (2023). https://doi.org/10.1016/j.cnsns.2023.107093
J. Hu, Z. Wang, G.-P. Liu, H. Zhang, R. Navaratne, A prediction-based approach to distributed filtering with missing measurements and communication delays through sensor networks. IEEE Trans. Syst. Man Cybern. Syst. 51(11), 7063–7074 (2021)
Y. Ju, G. Wei, D. Ding, S. Liu, A novel fault detection method under weighted try-once-discard scheduling over sensor networks. IEEE Trans. Control Netw. Syst. 7(3), 1489–1499 (2020)
H. Liang, G. Liu, T. Huang, H.-K. Lam, B. Wang, Cooperative fault-tolerant control for networks of stochastic nonlinear systems with nondifferential saturation nonlinearity. IEEE Trans. Syst. Man Cybern. -Syst. 52(3), 1362–1372 (2022)
X.-Y. Li, S.-L. Sun, \(H_{\infty }\) filtering for network-based systems with delayed measurements, packet losses, and randomly varying nonlinearities. IEEE Sens. J. 16(12), 4909–4918 (2016)
W. Liu, P. Shi, J.-S. Pan, State estimation for discrete-time Markov jump linear systems with time-correlated and mode-dependent measurement noise. Automatica 85, 9–21 (2017)
H. Liu, Z. Wang, W. Fei, H. Dong, On state estimation for discrete time-delayed memristive neural networks under the WTOD protocol: a resilient set-membership approach. IEEE Trans. Syst. Man Cybern. Syst. 52(4), 2145–2155 (2021)
J. Li, Z. Wang, J. Hu, H. Liu, X. Yi, Communication-protocol-based distributed filtering for general systems over sensor networks: developments and challenges. Int. J. Gen. Syst. 51(6), 608–630 (2022)
D. Liu, Z. Wang, Y. Liu, F. Alsaadi, F. Alsaadi, Recursive state estimation for stochastic complex networks under round-robin communication protocol: handling packet disorders. IEEE Trans. Netw. Sci. Eng. 8(3), 2455–2468 (2021)
X. Li, W. Zhang, D. Lu, Stability and stabilization analysis of Markovian jump systems with generally bounded transition probabilities. J. Frankl. Inst.-Eng. Appl. Math. 357(13), 8416–8434 (2020)
L. Ma, Z. Wang, Y. Liu, F. Alsaadi, Distributed filtering for nonlinear time-delay systems over sensor networks subject to multiplicative link noises and switching topology. Int. J. Robust Nonlinear Control 29(10), 2941–2959 (2019)
Y. Niu, L. Sheng, M. Gao, D. Zhou, Distributed intermittent fault detection for linear stochastic systems over sensor network. IEEE Trans. Cybern. 52(9), 9208–9218 (2021)
S. Pan, Z. Ye, J. Zhou, Fault detection filtering for a class of nonhomogeneous Markov jump systems with random sensor saturations. Int. J. Control Autom. Syst. 18(2), 439–449 (2020)
W. Ren, M. Gao, C. Kang, Non-fragile fault detection for nonlinear systems with stochastic communication protocol and channel fadings. Int. J. Control Autom. Syst. 19(6), 2150–2162 (2021)
P. Shi, F. Li, A survey on Markovian jump systems: modeling and design. Int. J. Control Autom. Syst. 13(1), 1–16 (2015)
Y. Shi, X. Peng, Fault detection filters design of polytopic uncertain discrete-time singular Markovian jump systems with time-varying delays. J. Frankl. Inst.-Eng. Appl. Math. 357(11), 7343–7367 (2020)
Y. Shen, Z. Wang, B. Shen, H. Dong, Outlier-resistant recursive filtering for multisensor multirate networked systems under weighted try-once-discard protocol. IEEE Trans. Cybern. 51(10), 4897–4908 (2021)
Y. Shen, Z.-G. Wu, P. Shi, Z. Shu, H. Karimi, \(H_{\infty }\) control of Markov jump time-delay systems under asynchronous controller and quantizer. Automatica 99, 352–360 (2019)
Y. Tan, X. Sun, Z. Bing, X. Yang, A. Knoll, Reduced model-based fault detector and controller design for discrete-time switching fuzzy systems. IEEE Trans. Fuzzy Syst. 31(2), 669–681 (2023)
Y. Wang, J. Guo, Finite-time asynchronous dissipative filtering for Markovian jump systems with time-varying delays and randomly occurred nonlinearity. Int. J. Adapt. Control Signal Process. 36(4), 926–942 (2022)
F. Wang, J. Liang, J. Lam, J. Yang, C. Zhao, Robust filtering for 2-D systems with uncertain-variance noises and weighted try-once-discard protocols. IEEE Trans. Syst. Man Cybern. Syst. 53(5), 2914–2924 (2022)
M. Wang, H. Liang, Y. Pan, X. Xie, A new privacy preservation mechanism and a gain iterative disturbance observer for multiagent systems. IEEE Trans. Netw. Sci. Eng. (2023). https://doi.org/10.1109/TNSE.2023.3299614
J. Wang, J. Pan, W. Sun, Event-triggered adaptive fault-tolerant control for unknown nonlinear systems with applications to linear motor. IEEE-ASME Trans. Mechatron. 27(2), 940–949 (2022)
Z. Wang, L. Wang, S. Liu, G. Wei, Encoding-decoding-based control and filtering of networked systems: insights, developments and opportunities. IEEE-CAA J. Autom. Sin. 52(1), 3–18 (2018)
M. Xue, H. Yan, M. Wang, H. Shen, K. Shi, LSTM-based intelligent fault detection for fuzzy Markov jump systems and its application to tunnel diode circuits. IEEE Trans. Circuits Syst. II-Express Briefs 69(3), 1099–1103 (2022)
Z. Xu, L. Zhao, Adaptive finite-time output feedback control for Markov jumping nonlinear systems. Int. J. Adapt. Control Signal Process. 35(12), 2406–2422 (2021)
S. Xiao, Y. Zhang, B. Zhang, Event-triggered networked fault detection for positive Markovian systems. Signal Process. 157, 161–169 (2019)
Y. Yin, J. Shi, F. Liu, Y. Liu, Robust fault detection of singular Markov jump systems with partially unknown information. Inf. Sci. 537, 368–379 (2020)
Y. Zhang, X. Chen, J. Wang, K. Shi, H. Shen, Generalized dissipative state estimation for discrete-time nonhomogeneous semi-Markov jump nonlinear systems. J. Frankl. Inst.-Eng. Appl. Math. 359(4), 1689–1705 (2022)
G. Zhuang, Y. Li, Z. Li, Fault detection for a class of uncertain nonlinear Markovian jump stochastic systems with mode-dependent time delays and sensor saturation. Int. J. Syst. Sci. 47(7), 1514–1532 (2016)
M. Zhang, C. Shen, Z.-G. Wu, D. Zhang, Dissipative filtering for switched fuzzy systems with missing measurements. IEEE Trans. Cybern. 50(5), 1931–1940 (2020)
L. Zou, Z. Wang, J. Hu, Y. Liu, X. Liu, Communication-protocol-based analysis and synthesis of networked systems: progress, prospects and challenges. Int. J. Syst. Sci. 52(14), 3013–3034 (2021)
K. Zhu, Z. Wang, G. Wei, X. Liu, Adaptive set-membership state estimation for nonlinear systems under bit rate allocation mechanism: a neural-network-based approach. IEEE Trans. Neural Netw. Learn. Syst. (2022). https://doi.org/10.1109/TNNLS.2022.3149540
J.-W. Zhu, G.-H. Yang, H. Wang, F. Wang, Fault estimation for a class of nonlinear systems based on intermediate estimator. IEEE Trans. Autom. Control 61(9), 2518–2524 (2016)
Acknowledgements
This work was supported by the Natural Science Foundation of Heilongjiang Province of China under Grant YQ2020A004, the National Natural Science Foundation of China 12071102.
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Ma, S., Wu, Z., Chen, C. et al. Non-Fragile Distributed Fault Detection for Nonlinear Delayed Markov Jump Systems Under Weighted Try-Once-Discard Protocol. Circuits Syst Signal Process (2024). https://doi.org/10.1007/s00034-024-02713-2
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DOI: https://doi.org/10.1007/s00034-024-02713-2