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Adaptive finite-time control for cyber-physical systems with injection and deception attacks

Author

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  • Sun, Haibin
  • Cui, Yahui
  • Hou, Linlin
  • Shi, Kaibo

Abstract

This paper discusses the problem of adaptive finite-time control of cyber-physical systems subject to injection and deception attacks (IDAs). The distinctive feature of the system is the coexistence of IDAs in the cyber layer and unknown parameters in the physical layer. Cyber attacks are modeled as state-dependent functions, which may change the direction of the state variables. To overcome the aforementioned issues, an adaptive finite-time controller is built using adding a power integrator technique and Nussbaum-function method, which may reduce the demands of the attack information. It is shown that the system states can converge to a neighbourhood of the origin in finite-time. Two numerical examples in this paper verified the scheme are effective.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:apmaco:v:430:y:2022:i:c:s0096300322003903
    DOI: 10.1016/j.amc.2022.127316
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    References listed on IDEAS

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    1. 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).
    2. Hou, Linlin & Li, Yao & Luo, Wende & Sun, Haibin, 2022. "Adaptive tracking control of switched cyber-physical systems with cyberattacks," Applied Mathematics and Computation, Elsevier, vol. 415(C).
    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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