Stability analysis and security control of nonlinear singular semi-Markov jump systems

Yang Song , Beiyan Yang , Jimin Wang

Electronic Research Archive ›› 2025, Vol. 33 ›› Issue (1) : 1 -25.

PDF (992KB)
Electronic Research Archive ›› 2025, Vol. 33 ›› Issue (1) :1 -25. DOI: 10.3934/era.2025001
Research article
research-article
Stability analysis and security control of nonlinear singular semi-Markov jump systems
Author information +
History +
PDF (992KB)

Abstract

This paper mainly studied the stochastic stability and the design of state feedback controllers for nonlinear singular continuous semi-Markov jump systems under false data injection attacks. Based on the Lyapunov function and the implicit function theorem, a basic stochastic stability condition of the system was given to ensure that the nonlinear singular semi-Markov jump system under attack was regular, impulse-free, unique, and stochastically stable. On this basis, the stochastic admissible linear matrix inequality conditions of the system were obtained by using the singular value decomposition of the matrix and Schur’s complement lemma. To design the state feedback controller, based on the upper and lower bounds of the time-varying transition probability of the semi-Markov jump system and the singular value decomposition method, the stochastic stable linear matrix inequality condition of the closed-loop system under the false data injection attack was established. Finally, the validity and feasibility of the results were verified by numerical examples.

Keywords

semi-Markov jump systems / singular system / false data injection attacks / state feedback controller

Cite this article

Download citation ▾
Yang Song, Beiyan Yang, Jimin Wang. Stability analysis and security control of nonlinear singular semi-Markov jump systems. Electronic Research Archive, 2025, 33 (1) : 1-25 DOI:10.3934/era.2025001

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

X. Jin, W. M. Haddad, T. Yucelen, An adaptive control architecture for mitigating sensor and actuator attacks in cyber-physical systems, IEEE Trans. Autom. Control, 62 (2017), 6058-6064. https://doi.org/10.1109/TAC.2017.2652127

[2]

L. Yao, X. Huang, Z. Wang, H. Shen, A multi-sensor-based switching event-triggered mechanism for synchronization control of Markovian jump neural networks under DoS attacks, IEEE Trans. Inf. Forensics Secur., 19 (2024), 7548-7559. https://doi.org/10.1109/TIFS.2024.3441812

[3]

Z. Cao, Y. Niu, J. Song, Finite-time sliding-mode control of Markovian jump cyber-physical systems against randomly occurring injection attacks, IEEE Trans. Autom. Control, 65 (2019), 1264-1271. https://doi.org/10.1109/TAC.2019.2926156

[4]

H. Xiao, D. Ding, H. Dong, G. Wei, Adaptive event-triggered state estimation for large-scale systems subject to deception attacks, Sci. China Inf. Sci, 65 (2022), 122207. https://doi.org/10.1007/s11432-020-3142-5

[5]

H. Guo, J. Sun, Z. Pang, Analysis of replay attacks with countermeasure for state estimation of cyber-physical systems, IEEE Trans. Circuits Syst. II-Express Briefs, 71 (2024), 206-210. https://doi.org/10.1109/TCSII.2023.3302151

[6]

H. Guo, Z. Pang, J. Sun, J. Li, An output-coding-based detection scheme against replay attacks in cyber-physical systems, IEEE Trans. Circuits Syst. II-Express Briefs, 68 (2021), 3306-3310. https://doi.org/10.1109/TCSII.2021.3063835

[7]

J. Wang, D. Wang, H. Yan, H. Shen, Composite anti-disturbance $H_{\infty}$ control for hidden Markov jump systems with multi-sensor against replay attacks, IEEE Trans. Autom. Control, 69 (2024), 1760-1766. https://doi.org/10.1109/TAC.2023.3326861

[8]

Z. G. Wu, P. Shi, Z. Shu, H. Su, R. Lu, Passivity-based asynchronous control for Markov jump systems, IEEE Trans. Autom. Control, 62 (2016), 2020-2025. https://doi.org/10.1109/TAC.2016.2593742

[9]

Z. G. Wu, P. Shi, H. Su, J. Chu, Asynchronous l2-l∞ filtering for discrete-time stochastic Markov jump systems with randomly occurred sensor nonlinearities, Automatica, 50 (2014), 180-186. https://doi.org/10.1016/j.automatica.2013.09.041

[10]

A. M. de Oliveira, O. L. V. Costa, Mixed control of hidden Markov jump systems, Int. J. Robust Nonlinear Control, 28 (2018), 1261-1280. https://doi.org/10.1002/rnc.3952

[11]

Y. Guo, Stabilization of positive Markov jump systems, J. Franklin Inst., 353 (2016), 3428-3440. https://doi.org/10.1016/j.jfranklin.2016.06.026

[12]

E. K. Boukas, Z. K. Liu, P. Shi, Delay-dependent stability and output feedback stabilisation of Markov jump system with time-delay, IEE Proc.-Control Theory Appl., 149 (2002), 379-386. https://doi.org/10.1049/ip-cta:20020442

[13]

K. Mathiyalagan, J. H. Park, R. Sakthivel, S. M. Anthoni, Robust mixed $H_{\infty}$ and passive filtering for networked Markov jump systems with impulses, Signal Process., 101 (2014), 162-173. https://doi.org/10.1016/j.sigpro.2014.02.007

[14]

Q. Zhu, J. Cao, Robust exponential stability of Markovian jump impulsive stochastic Cohen-Grossberg neural networks with mixed time delays, IEEE Trans. Neural Networks, 21 (2010), 1314-1325. https://doi.org/10.1109/TNN.2010.2054108

[15]

J. Wang, J. Wu, H. Shen, J. Cao, L. Rutkowski, Fuzzy $H_{\infty}$ control of discrete-time nonlinear Markov jump systems via a novel hybrid reinforcement Q-learning method, IEEE Trans. Cybern., 53 (2023), 7380-7391. https://doi.org/10.1109/TCYB.2022.3220537

[16]

H. Shen, Y. Wang, J. Wang, J. H. Park, A fuzzy-model-based approach to optimal control for nonlinear Markov jump singularly perturbed systems: A novel integral reinforcement learning scheme, IEEE Trans. Fuzzy Syst., 31 (2023), 3734-3740. https://doi.org/10.1109/TFUZZ.2023.3265666

[17]

M. Shen, Y. Gu, S. Zhu, G. Zong, X. Zhao, Mismatched quantized $H_{\infty}$ output-feedback control of fuzzy Markov jump systems with a dynamic guaranteed cost triggering scheme, IEEE Trans. Fuzzy Syst., 32 (2024), 1681-1692. https://doi.org/10.1109/TFUZZ.2023.3330297

[18]

M. Shen, Y. Ma, J. H. Park, Q. G. Wang, Fuzzy tracking control for Markov jump systems with mismatched faults by iterative proportional-integral observers, IEEE Trans. Fuzzy Syst., 30 (2020), 542-554. https://doi.org/10.1109/TFUZZ.2020.3041589

[19]

D. Li, S. Liu, J. Cui, Threshold dynamics and ergodicity of an SIRS epidemic model with semi-Markov switching, J. Differ. Equations, 266 (2019), 3973-4017. https://doi.org/10.1016/j.jde.2018.09.026

[20]

R. Kutner, J. Masoliver, The continuous time random walk, still trendy: fifty-year history, state of art and outlook, Eur. Phys. J. B., 90 (2017), 1-13. https://doi.org/10.1140/epjb/e2016-70578-3

[21]

X. Mu, Z. Hu, Stability analysis for semi-Markovian switched stochastic systems with asynchronously impulsive jumps, Sci. China Inf. Sci., 64 (2021), 1-13. https://doi.org/10.1007/s11432-019-2726-0

[22]

J. Wang, S. Ma, C. Zhang, Stability analysis and stabilization for nonlinear continuous-time descriptor semi-Markov jump systems, Appl. Math. Comput., 279 (2016), 90-102. https://doi.org/10.1016/j.amc.2016.01.013

[23]

B. Wang, Q. Zhu, Stability analysis of discrete-time semi-Markov jump linear systems with time delay, IEEE Trans. Autom. Control, 68 (2023), 6758-6765. https://doi.org/10.1109/TAC.2023.3240926

[24]

Z. Ning, L. Zhang, P. Colaneri, Semi-Markov jump linear systems with incomplete sojourn and transition information: Analysis and synthesis, IEEE Trans. Autom. Control, 65 (2019), 159-174. https://doi.org/10.1109/TAC.2019.2907796

[25]

Y. Tian, H. Yan, H. Zhang, M. Wang, J. Yi, Time-varying gain controller synthesis of piecewise homogeneous semi-Markov jump linear systems, Automatica, 146 (2022), 110594. https://doi.org/10.1016/j.automatica.2022.110594

[26]

B. Wang, Q. Zhu, Stability analysis of semi-Markov switched stochastic systems, Automatica, 94 (2018), 72-80. https://doi.org/10.1016/j.automatica.2018.04.016

[27]

B. Wang, Q. Zhu, Mode dependent H∞ filtering for semi-Markovian jump linear systems with sojourn time dependent transition rates , IET Contr. Theory Appl., 13 (2019), 3019-3025. https://doi.org/10.1049/iet-cta.2019.0141

[28]

Y. Wei, J. H. Park, J. Qiu, L. Wu, H. Y. Jung, Sliding mode control for semi-Markovian jump systems via output feedback, Automatica, 81 (2017), 133-141. https://doi.org/10.1016/j.automatica.2017.03.032

[29]

W. Qi, J. H. Park, J. Cheng, Y. Kao, Robust stabilisation for non-linear time-delay semi-Markovian jump systems via sliding mode control, IET Contr. Theory Appl., 11 (2017), 1504-1513. https://doi.org/10.1049/iet-cta.2016.1465

[30]

H. Shen, M. Xing, H. Yan, J. Cao, Observer-based l2-l∞ control for singularly perturbed semi-Markov jump systems with improved weighted TOD protocol, Sci. China Inf. Sci., 65 (2022), 1-2. https://link.springer.com/article/10.1007/s11432-021-3345-1

[31]

H. Shen, C. Peng, H. Yan, S. Xu, Data-driven near optimization for fast sampling singularly perturbed systems, IEEE Trans. Autom. Control, 69 (2024), 4689-4694. https://doi.org/10.1109/TAC.2024.3352703

[32]

K. Sivaranjani, R. Rakkiyappan, Y. H. Joo, Event triggered reliable synchronization of semi-Markovian jumping complex dynamical networks via generalized integral inequalities, J. Franklin Inst., 355 (2018), 3691-3716. https://doi.org/10.1016/j.jfranklin.2018.01.050

[33]

B. Kaviarasan, O. M. Kwon, M. J. Park, R. Sakthivel, Dissipative constraint-based control design for singular semi-Markovian jump systems using state decomposition approach, Nonlinear Anal.-Hybrid Syst., 47 (2023), 101302. https://doi.org/10.1016/j.nahs.2022.101302

[34]

K. Ding, Q. Zhu, Extended dissipative anti-disturbance control for delayed switched singular semi-Markovian jump systems with multi-disturbance via disturbance observer, Automatica, 128 (2021), 109556. https://doi.org/10.1016/j.automatica.2021.109556

[35]

Y. Gao, L. Jia, Stability in distribution for uncertain delay differential equations based on new Lipschitz condition, J. Ambient Intell. Humaniz. Comput., 14 (2023), 13585-13599. https://doi.org/10.1007/s12652-022-03826-9

[36]

J. Brasche, M. Demuth, Dynkin’s formula and large coupling convergence, J. Funct. Anal., 219 (2005), 34-69. https://doi.org/10.1016/j.jfa.2004.06.007

[37]

E. V. Haynsworth, Applications of an inequality for the Schur complement, Proc. Am. Math. Soc., 24 (1970), 512-516. https://doi.org/10.2307/2037398

[38]

Y. Tian, Z. Ning, H. Yan, Y. Peng, Time-elapsed-reliant observer-based control of semi-Markov jump linear systems with bilaterally bounded sojourn time, IEEE Trans. Circuits Syst. II-Express Briefs, (2024), in press. https://doi.org/10.1109/TCSII.2024.3491032

[39]

L. Zhang, H. Zhang, X. Yue, T. Wang, Actor-critic optimal control for semi-Markovian jump systems with time delay, IEEE Trans. Circuits Syst. II-Express Briefs, 71 (2024), 2164-2168. https://doi.org/10.1109/TCSII.2023.3335343

PDF (992KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/

〈 〉