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Secure Tracking Control of Cyber-Physical Systems Against Hybrid Attacks via FAS Terminal Sliding-Mode Predictive

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    This research presents a secure tracking control for cyber-physical systems (CPSs) against hybrid attacks. A novel predictive control scheme enhances system robustness and ensures stable tracking performance.

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    Area of Science:

    • Control Systems Engineering
    • Cyber-Physical Systems Security
    • Robotics

    Background:

    • Cyber-physical systems (CPSs) are vulnerable to hybrid attacks, including denial-of-service and false data injection.
    • Secure tracking control is crucial for maintaining system performance and stability under adversarial conditions.

    Purpose of the Study:

    • To develop a robust and secure tracking control strategy for CPSs facing hybrid attacks.
    • To enhance the resilience and performance of CPSs through advanced control techniques.

    Main Methods:

    • A fully actuated system (FAS) model for CPSs (FACPS) was constructed.
    • A terminal sliding-mode concept was integrated to enhance robustness against hybrid attacks.
    • An incremental FAS prediction model using a Diophantine Equation was developed for optimal controller design.

    Main Results:

    • A novel FAS terminal sliding-mode predictive control scheme was proposed.
    • The scheme effectively defends against hybrid attacks in forward and backward channels.
    • Bounded stability and tracking performance were analyzed using linear matrix inequality (LMI).

    Conclusions:

    • The proposed control scheme provides a viable solution for secure tracking control in CPSs.
    • The method was validated on an air-bearing spacecraft simulator, demonstrating its feasibility and practicality.