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    This study introduces a new resilient state observer to improve secure state estimation for cyber-physical systems facing denial-of-service (DoS) attacks. The novel method ensures exponential convergence of estimation errors, enhancing system security and performance.

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    Area of Science:

    • Cyber-Physical Systems Security
    • Control Theory
    • Network Security

    Background:

    • Cyber-physical systems (CPS) are vulnerable to intermittent denial-of-service (DoS) attacks, compromising secure state estimation.
    • Existing methods often guarantee only boundedness of estimation errors under DoS attacks, limiting performance.
    • Enhancing resilience and improving estimation accuracy are critical for secure CPS operation.

    Purpose of the Study:

    • To design a novel resilient state observer for cyber-physical systems subjected to intermittent denial-of-service (DoS) attacks.
    • To establish a quantitative relationship between system resilience and observer design parameters.
    • To achieve exponential convergence of state estimation errors, outperforming existing methods.

    Main Methods:

    • A switching scheme and cascade observer technique are employed.
    • A resilient state observer with a switched compensation mechanism is designed.
    • Analysis focuses on the exponential convergence of the state estimation error.

    Main Results:

    • The proposed observer scheme guarantees exponential convergence of the state estimation error to zero, even under DoS attacks.
    • A clear relationship between resilience against DoS attacks and design parameters is quantitatively established.
    • Simulation results validate the effectiveness and superiority of the proposed methods.

    Conclusions:

    • The developed resilient state observer significantly improves state estimation performance for CPS under DoS attacks.
    • The findings offer a more robust and secure approach to state estimation in vulnerable cyber-physical systems.
    • This work contributes to the advancement of secure and reliable cyber-physical system design.