Abstract
This paper researches robust \(H_\infty \) asynchron-ous fault detection for uncertain singular Markov jump systems with time-varying delays based on hidden Marko-v model strategy. The aim is to implement asynchronous fault detection for uncertain singular Markov jump system and realize stochastic admissibility with \(H_\infty \) performance level for augmented uncertain singular Markov jump fault detection system. By applying singular value decomposition method and free weighting matrix technique, modified admissibility conditions are addressed based on Lyapunov stability theory. Robust fault detection problem is translated into \(H_\infty \) filter design in this work. A hidden Markov model is used to describe a kind of asynchronous phenomenon produced by original system’s modes and fault detection filter’s modes, and the desired filter gains are obtained by solving linear matrix inequalities. Finally, a numerical example and a direct current motor system are used to verify the effectiveness of this approach.
Similar content being viewed by others
Data availability
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
References
Xu S, Lam J (2006) Robust control and filtering of singular systems. Springer-Verlag, Berlin
Zhang Q, Yan HC, Zhang H, Chen SM, Wang M (2021) \(H_\infty \) control of singular system based on stochastic cyber-attacks and dynamic event-triggered mechanism. IEEE Trans Syst Man Cybern Syst 51(12):7510–7516
Cheng J, Park JH, Wu ZG (2021) A hidden Markov model based control for periodic systems subject to singular perturbations. Syst Control Lett 157:105059
Qi WH, Zong GD, Karimi HR (2020) Sliding mode control for nonlinear stochastic singular semi-Markov jump systems. IEEE Trans Autom Control 65(1):361–368
Park CE, Kwon NK, Park IS, Park PG (2019) \(H_\infty \) filtering for singular Markovian jump systems with partly unknown transition rates. Automatica 109:108528
Zhuang GM, Xu SY, Zhang BY, Xu HL, Chu YM (2016) Robust \(H_\infty \) deconvolution filtering for uncertain singular Markovian jump systems with time-varying delays. Int J Robust Nonlinear Control 26(12):2564–2585
Tian YF, Wang ZS (2022) Finite-time extended dissipative filtering for singular T-S fuzzy systems with nonhomogeneous Markov jumps. IEEE Trans Cybern 52(6):4574–4584
Wang YQ, Zhuang GM, Chen X, Wang Z, Chen F (2020) Dynamic event-based finite-time mixed \(H_\infty \) and passive asynchronous filtering for T-S fuzzy singular Markov jump systems with general transition rates. Nonlinear Anal Hybrid Syst 36:00874
Wang XZ, Li JH (2020) New advances in three-way decision, granular computing and concept lattice. Int J Mach Learn Cyber 11:945–946
Mobayen S, Alattas KA, Fekih A, El-Sousy FFM, Bakouri M (2022) Barrier function-based adaptive nonsingular sliding mode control of disturbed nonlinear systems: a linear matrix inequality approach. Chaos Soliton Fract 157:111918
Yao XM, Zhang LL, Zheng WX (2021) Uncertain disturbance rejection and attenuation for semi-Markov jump systems with application to 2-degree-freedom robot arm. IEEE Trans Circ Syst Regul Pap 68(9):3836–3845
Kao YG, Xie J, Wang CH (2014) Stabilization of singular Markovian jump systems with generally uncertain transition rates. IEEE Trans Automat Control 59(9):2604–2610
Wang XZ, Xing HJ, Li Y, Hua Q, Dong CR, Pedrycz W (2015) A study on relationship between generalization abilities and fuzziness of base classifiers in ensemble learning. IEEE Trans Fuzzy Syst 23(5):1638–1654
Jiang BP, Karimi HR, Yang SC, Gao CC, Kao YG (2021) Observer-based adaptive sliding mode control for nonlinear stochastic Markov jump systems via T-S fuzzy modeling: applications to robot arm model. IEEE Trans Ind Electron 68(1):466–477
Li HF, Li CD, Huang TW, Zhang WL (2018) Fixed-time stabilization of impulsive Cohen-Grossberg BAM neural networks. Neural Netw 98:203–211
Shen H, Li F, Xu S, Sreeram V (2018) Slow state variables feedback stabilization for semi-Markov jump systems with singular perturbations. IEEE Trans Autom Control 63(8):2709–2714
Cheng P, Chen MY, Stojanovic V, He S (2021) Asynchronous fault detection filtering for piecewise homogenous Markov jump linear systems via a dual hidden Markov model. Mech Syst Sig Process 151:107353
Zhuang GM, Sun W, Su SF, Xia JW (2021) Asynchronous feedback control for delayed fuzzy degenerate jump systems under observer-based event-driven characteristic. IEEE Trans Fuzzy Syst 29(12):3754–3768
Wang YY, Ahn CK, Yan HC, Xie SR (2021) Fuzzy control and filtering for nonlinear singularly perturbed Markov jump systems. IEEE Trans Cybern 51(1):297–308
Ning Zk, Wang T, Song XN, Yu JY (2020) Fault detection of nonlinear stochastic systems via a dynamic event-triggered strategy. Signal Process 167:107283
Li CD, Zhou YH, Wang H, Huang TW (2017) Stability of nonlinear systems with variable-time impulses: B-equivalence method. Int J Control Autom Syst 15(5):2072–2079
Yin Y, Shi JB, Liu F, Liu YQ (2020) Robust fault detection of singular Markov jump systems with partially unknown information. Inf Sci 537:368–379
Jiang YC, Yin S, Kaynak O (2021) Optimized design of parity relation-based residual generator for fault detection: data-driven approaches. IEEE Trans Ind Inf 17(2):1449–1458
Nithya V, Suveetha VT, Sakthivel R, Ma YK (2021) Finite-time asynchronous fault detection filter design for conic-type nonlinear semi-Markovian jump systems. IEEE Access 9:157609–157622
Wang XD, Fei ZY, Gao HJ, Yu JY (2019) Integral-based event-triggered fault detection filter design for unmanned surface vehicles. IEEE Trans Ind Inf 15(10):5626–5636
Zhong MY, Ding SX, Lam J, Wang HB (2003) An LMI approach to design robust fault detection filter for uncertain LTI systems. Automatica 39(3):543–550
Liu GB, Park JH, Xu SY, Zhuang GM (2019) Robust non-fragile \(H_\infty \) fault detection filter design for delayed singular Markovian jump systems with linear fractional parametric uncertainties. Nonlinear Anal Hybrid Syst 32:65–78
Sakthivel R, Kwon OM, Park MJ, Choi SG, Sakthivel R (2022) Robust asynchronous filtering for discrete-time T-S fuzzy complex dynamical networks against deception attacks. IEEE Trans Fuzzy Syst 30(8):3257–3269
Zhao X, Lin C, Chen B, Wang QG, Ma ZJ (2020) Adaptive event-triggered fuzzy \(H_{\infty }\) filter design for nonlinear networked systems. IEEE Trans Fuzzy Syst 28(12):3302–3314
Tao J, Lu RQ, Su HY, Shi P, Wu ZG (2018) Asynchronous filtering of nonlinear Markov jump systems with randomly occurred quantization via T-S fuzzy models. IEEE Trans Fuzzy Syst 26(4):1866–1877
Wang XZ, Cao WP (2018) Non-iterative approaches in training feed-forward neural networks and their applications. Soft Comput 22:3473–3476
Guo XG, Fan X, Ahn CK (2021) Adaptive event-triggered fault detection for interval type-2 T-S fuzzy systems with sensor saturation. IEEE Trans Fuzzy Syst 29(8):2310–2321
Lin WJ, He Y, Zhang CK, Wang LM, Wu M (2022) Event-triggered fault detection filter design for discrete-time memristive neural networks with time delays. IEEE Trans Cybern 52(5):3359–3369
Sakthivel R, Suveetha VT, Divya H, Sakthivel R (2021) Fault detection finite-time filter design for T-S fuzzy Markovian jump system with missing measurements. Circ Syst Signal Process 40:1607–1634
Tian YF, Wang ZS (2021) A switched fuzzy filter approach to \(H_{\infty }\) filtering for Takagi-Sugeno fuzzy Markov jump systems with time delay: the continuous-time case. Inf Sci 557:236–249
Wang YC, Zheng LF, Zhang HG, Xie XP (2018) Event-triggered fault detection filter design for nonlinear networked systems via fuzzy Lyapunov functions. J Frankl Inst 335(11):8392–8411
Xu ZW, Wu ZG, Su HY, Shi P, Que HY (2020) Energy-to-peak filtering of semi-Markov jump systems with mismatched modes. IEEE Trans Autom Control 65(10):4356–4361
Cheng P, He SP, Luan XL, Liu F (2021) Finite-region asynchronous \(H_\infty \) control for 2D Markov jump systems. Automatica 129:109590
Shen Y, Wu ZG, Shi P, Wen GH (2019) Dissipativity based fault detection for 2D Markov jump systems with asynchronous modes. Automatica 106:8–17
Dong SL, Wu ZG, Pan YJ, Su HY, Liu Y (2019) Hidden-Markov-model-based asynchronous filter design of nonlinear Markov jump systems in continuous-time domain. IEEE Trans Cybern 49(6):2294–2304
Vadivel R, Hammachukiattikul P, Gunasekaran N, Saravanakumar R, Dutta H (2021) Strict dissipativity synchronization for delayed static neural networks: an event-triggered scheme. Chaos Soliton Fract 150:111212
Liu YQ, Zhuang GM, Xie XP, Xia JW (2023) \(H_{\infty }\) asynchronous admissibilization for nonlinear singular delayed hybrid hydraulic turbine governing systems with impulsive perturbations. IEEE Trans Fuzzy Syst. https://doi.org/10.1109/TFUZZ.2023.3279294
Shen H, Chen MS, Wu ZG, Cao JD, Park JH (2020) Reliable event-triggered asynchronous extended passive control for semi-Markov jump fuzzy systems and its application. IEEE Trans Fuzzy Syst 28(8):1708–1722
Xue M, Yan HC, Zhang H, Sun J, Lam HK (2021) Hidden-Markov-model-based asynchronous \(H_{\infty }\) tracking control of fuzzy Markov jump systems. IEEE Trans Fuzzy Syst 29(5):1081–1092
Zhang X, He SP, Stojanovic V, Luan XL, Liu F (2021) Finite-time asynchronous dissipative filtering of conic-type nonlinear Markov jump systems. Sci China Inf Sci 64:152206
Ren CC, He SP, Luan XL, Liu F, Karimi HR (2021) Finite-time \(L_2\)-gain asynchronous control for continuous-time positive hidden Markov jump systems via T-S fuzzy model approach. IEEE Trans Cybern 51(1):77–87
Zhuang GM, Xia JW, Feng JE, Sun W, Zhang BY (2021) Admissibilization for implicit jump systems with mixed retarded delays based on reciprocally convex integral inequality and Barbalat’s lemma. IEEE Trans Syst Man Cybern Syst 51(11):6808–6818
Li HF, Li CD, Ouyang DQ, Nguang SK (2021) Impulsive synchronization of unbounded delayed inertial neural networks with actuator saturation and sampled-data control and its application to image encryption. IEEE Trans Neural Netw Learn Syst 32(4):1460–1473
Zhang BY, Zheng WX, Xu SY (2012) On robust \(H_\infty \) filtering of uncertain Markovian jump time-delay systems. Int J Adapt Control Signal Process 26(2):138–157
Zhuang GM, Su SF, Xia JW, Sun W (2021) HMM-based asynchronous \(H_\infty \) filtering for fuzzy singular Markovian switching systems with retarded time-varying delays. IEEE Trans Cybern 51(3):1189–1203
Acknowledgements
The authors would like to thank the Editors and the Referees for the valuabl comments and suggestions for improving the paper. This work was partly supported by National Natural Science Foundation of China under Grants 62173174, 61973148, 61877036, 61773191; Shandong Provincial Natural Science Foundation under Grant ZR2021JQ23; Discipline with Strong Characteristics of Liaocheng University–Intelligent Science and Technology under Grant 319462208; Support Plan for Outstanding Youth Innovation Team in Shandong Higher Education Institutions under Grant 2019KJI010; Graduate Education High-Quality Curriculum Construction Project for Shandong Province under Grant SDYKC20185.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
Conditions of theorem 2
where
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
Yin, Y., Zhuang, G., Xia, J. et al. Robust \(H_\infty \) asynchronous fault detection for uncertain singular hybrid systems based on Hmm strategy. Int. J. Mach. Learn. & Cyber. 15, 757–773 (2024). https://doi.org/10.1007/s13042-023-01937-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13042-023-01937-z