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Real-time state range estimation of asynchronous Markov jump linear systems with bounded disturbance and random cyber attack

Author

Listed:
  • Xie, Jiyang
  • Zhang, Dawei
  • Zhu, Shuqian

Abstract

This paper deals with the real-time state range monitoring problem of a class of Markov jump linear system (MJLS) subject to random injection attacks and bounded disturbance by an asynchronous interval observer method. Considering the noised effect of random attacks on output measurement, a Luenberger-like interval observer with asynchronous jumping parameters is constructed by using the dynamic boundary information of attack and disturbance flexibly, where a hidden Markov model is actively introduced to model the asynchronous jumping behavior. Using the observer, the positivity of interval estimation error systems is ensured. To overcome the optimization design difficulty of the interval observer, a unified positive hidden MJLS is developed, where the observer gain matrices and the disturbance input are separated explicitly. Some attack-frequency-dependent conditions for stochastic l1-gain performance analysis and observer design optimization are provided by linear programming. For the method validation purpose, a secure remote monitoring task of DC motor in both unstable and stable situations is provided in case study.

Suggested Citation

  • Xie, Jiyang & Zhang, Dawei & Zhu, Shuqian, 2026. "Real-time state range estimation of asynchronous Markov jump linear systems with bounded disturbance and random cyber attack," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 247(C), pages 722-734.
  • Handle: RePEc:eee:matcom:v:247:y:2026:i:c:p:722-734
    DOI: 10.1016/j.matcom.2026.04.005
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    References listed on IDEAS

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    1. S, Rubasri & S, Kathiresan & Kashkynbayev, Ardak & R, Rakkiyappan, 2026. "Pinning exponential synchronization of coupled neural networks with delay under stochastic deception attacks using the Markov switched control," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 239(C), pages 298-317.
    2. Panneerselvam, V. & Aravinth, N. & Sakthivel, R. & Hafez, M.G., 2024. "Mode-dependent observer-based secured hybrid-driven reliable control for semi-Markov jump cyber–physical systems with DoS attacks," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
    3. Li, Xin & Wei, Guoliang & Ding, Derui, 2021. "Distributed resilient interval estimation for sensor networks under aperiodic denial-of-service attacks and adaptive event-triggered protocols," Applied Mathematics and Computation, Elsevier, vol. 409(C).
    4. Guo, Beibei & Xiao, Yu, 2024. "Synchronization of multi-link and multi-delayed inertial neural networks with Markov jump via aperiodically intermittent adaptive control," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 219(C), pages 435-453.
    5. Yang, Yadong & Gong, Jianye & Shen, Qikun, 2026. "Dynamic self-triggered fixed-time consensus for stochastic multiagent systems with unknown function powers under hybrid cyber attacks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 239(C), pages 646-660.
    6. Balasubramani, Visakamoorthi & Hur, Sung-ho, 2026. "A novel time-dependent sampled-data control for fuzzy Markov jump systems with cyber-attacks and missing measurements," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 240(C), pages 520-537.
    7. Xie, Jiyang & Zhu, Shuqian & Zhang, Dawei, 2022. "A robust distributed secure interval observation approach for uncertain discrete-time positive systems under deception attacks," Applied Mathematics and Computation, Elsevier, vol. 413(C).
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