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Robust adaptive estimation and tracking control for perturbed cyber-physical systems against denial of service

Author

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  • Lü, Shao-Yu
  • Jin, Xiao-Zheng
  • Wang, Hai
  • Deng, Chao

Abstract

This paper is concerned with the adaptive state observation and resilient control problem for a class of perturbed cyber-physical system against denial of service (DoS) attacks. An adaptive observer is firstly constructed to observe the compromised states under DoS attacks. Then based on the estimated sates, a resilient control strategy is developed to remedy the negative influence of DoS attacks and perturbations. By employing linear matrix inequality and Lyapunov stability theory, one can guarantee that the system states can track the desired signals of reference systems with time going to infinity. Furthermore, the state observation errors are guaranteed to remain a high accuracy. An aircraft system with different attack forms and attack modes is given to verify the effectiveness of designed adaptive observer and control methods.

Suggested Citation

  • Lü, Shao-Yu & Jin, Xiao-Zheng & Wang, Hai & Deng, Chao, 2021. "Robust adaptive estimation and tracking control for perturbed cyber-physical systems against denial of service," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    • Handle: RePEc:eee:apmaco:v:404:y:2021:i:c:s0096300321003453
    DOI: 10.1016/j.amc.2021.126255
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    References listed on IDEAS

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    1. Liu, Jinliang & Xia, Jilei & Tian, Engang & Fei, Shumin, 2018. "Hybrid-driven-based H∞ filter design for neural networks subject to deception attacks," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 158-174.
    2. Xiao, Xiaoqing & Park, Ju H. & Zhou, Lei, 2018. "Event-triggered control of discrete-time switched linear systems with packet losses," Applied Mathematics and Computation, Elsevier, vol. 333(C), pages 344-352.
    3. Huang, Xin & Dong, Jiuxiang, 2020. "A Robust Dynamic Compensation Approach for Cyber-Physical Systems Against Multiple Types of Actuator Attacks," Applied Mathematics and Computation, Elsevier, vol. 380(C).
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    Cited by:

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    4. Sun, Haibin & Cui, Yahui & Hou, Linlin & Shi, Kaibo, 2022. "Adaptive finite-time control for cyber-physical systems with injection and deception attacks," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    5. Ma, Yong-Sheng & Che, Wei-Wei & Deng, Chao, 2022. "Observer-Based fuzzy containment control for nonlinear networked mass under dos attacks," Applied Mathematics and Computation, Elsevier, vol. 421(C).
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    7. Zhang, Zhipeng & Wang, Huimin, 2022. "Resilient decentralized adaptive tracking control for nonlinear interconnected systems with unknown control directions against DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 415(C).
    8. Arthi, G. & Suganya, K., 2021. "Controllability of higher order stochastic fractional control delay systems involving damping behavior," Applied Mathematics and Computation, Elsevier, vol. 410(C).

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