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Dynamic Event-Triggered Control for Delayed Nonlinear Markov Jump Systems under Randomly Occurring DoS Attack and Packet Loss

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Listed:
  • Haiyang Zhang

    (Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
    School of Mathematics and Computer Science, Yunnan Minzu University, Kunming 650500, China)

  • Huizhen Chen

    (School of Mathematics and Computer Science, Yunnan Minzu University, Kunming 650500, China)

  • Lianglin Xiong

    (School of Media and Information Engineering, Yunnan Open University, Kunming 650504, China)

  • Yi Zhang

    (College of Computer Science, Sichuan University, Chengdu 610065, China)

Abstract

This paper aims to address the exponential stability and stabilization problems for a class of delayed nonlinear Markov jump systems under randomly occurring Denial-of-Service (DoS) attacks and packet loss. Firstly, the stochastic characteristics of DoS attacks and packet loss are depicted by the attack success rate and packet loss rate. Secondly, a Period Observation Window (POW) method and a hybrid-input strategy are proposed to compensate for the impact of DoS attack and packet loss on the system. Thirdly, A Dynamic Event-triggered Mechanism (DETM) is introduced to save more network resources and ensure the security and reliability of the systems. Then, by constructing a general common Lyapunov functional and combining it with the DETM and other inequality analysis techniques, the less conservative stability and stabilization criteria for the underlying systems are derived. In the end, the effectiveness of our result is verified through two examples.

Suggested Citation

  • Haiyang Zhang & Huizhen Chen & Lianglin Xiong & Yi Zhang, 2024. "Dynamic Event-Triggered Control for Delayed Nonlinear Markov Jump Systems under Randomly Occurring DoS Attack and Packet Loss," Mathematics, MDPI, vol. 12(7), pages 1-20, April.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:7:p:1064-:d:1368700
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    References listed on IDEAS

    as
    1. Li Qiu & Fengqi Yao & Xiaopin Zhong, 2013. "Stability Analysis of Networked Control Systems with Random Time Delays and Packet Dropouts Modeled by Markov Chains," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-10, September.
    2. Haiyang Zhang & Zhipeng Qiu & Lianglin Xiong & Guanghao Jiang, 2019. "Stochastic stability analysis for neutral-type Markov jump neural networks with additive time-varying delays via a new reciprocally convex combination inequality," International Journal of Systems Science, Taylor & Francis Journals, vol. 50(5), pages 970-988, April.
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