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Secure adaptive output-feedback tracking control for a class of uncertain nonlinear systems in the presence of sensor and actuator faults under DoS and injection attacks

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  • Baghi, Hamidreza
  • Abdollahi, Farzaneh
  • Talebi, Heidar Ali

Abstract

This paper addresses the critical issue of secure and resilient control for a class of uncertain nonlinear systems exposed to sensor and actuator faults and cyber-physical attacks such as Denial of Service (DoS) and injection attacks. We propose a novel secure adaptive output-feedback tracking control (SAOFTC) approach that employs a switching gain observer and a dynamic high gain observer to ensure robust tracking control and cyber resilience. A fault-tolerant, adaptive approach to tracking control addresses the uncertainties inherent in the system as well as sensor and actuator faults. By integrating adaptive control, a fuzzy logic system (FLS), and observer-based techniques, the proposed method dynamically adjusts the control parameters to account for system uncertainties and mitigate the impact of disturbances, sensor and actuator faults, and injection attacks. Our proposed approach ensures system stability and tracking performance and provides robust protection against cyber-attacks. Simulation results on a nonlinear system demonstrate the effectiveness of the proposed methodology and highlight its potential for controlling critical infrastructures and cyber-physical systems (CPSs) where security and resilience are of paramount importance.

Suggested Citation

  • Baghi, Hamidreza & Abdollahi, Farzaneh & Talebi, Heidar Ali, 2025. "Secure adaptive output-feedback tracking control for a class of uncertain nonlinear systems in the presence of sensor and actuator faults under DoS and injection attacks," Applied Mathematics and Computation, Elsevier, vol. 487(C).
  • Handle: RePEc:eee:apmaco:v:487:y:2025:i:c:s009630032400568x
    DOI: 10.1016/j.amc.2024.129107
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    References listed on IDEAS

    as
    1. Fan, Xianrui & Tong, Shaocheng, 2024. "Fuzzy adaptive resilient decentralized control of nonlinear interconnected cyber-physical systems under false data injection attacks," Applied Mathematics and Computation, Elsevier, vol. 469(C).
    2. 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).
    3. 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).
    4. Lv, Wenshun & Guo, Runan & Wang, Fang, 2024. "Observer-based adaptive neural network control design for nonlinear systems under cyber-attacks through sensor networks," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    5. Kriaa, Siwar & Pietre-Cambacedes, Ludovic & Bouissou, Marc & Halgand, Yoran, 2015. "A survey of approaches combining safety and security for industrial control systems," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 156-178.
    6. 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).
    7. Zhao, Jipeng & Yang, Guang-Hong, 2023. "Fuzzy adaptive secure tracking control against unknown false data injection attacks for uncertain nonlinear systems with input quantization," Applied Mathematics and Computation, Elsevier, vol. 437(C).
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