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Security-Based Passivity Analysis of Markov Jump Systems via Asynchronous Triggering Control.

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    This study addresses deception attacks in discrete-time Markov jump systems by developing a resilient asynchronous event-triggered control. The new method ensures system passivity despite attacks and asynchronous operation, saving communication resources.

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    Area of Science:

    • Control Systems Engineering
    • Cybersecurity
    • Networked Systems

    Background:

    • Discrete-time Markov jump systems are vulnerable to deception attacks.
    • These attacks introduce time-varying delays, causing asynchronicity between system and controller modes.
    • Existing control methods may not adequately address these security and timing challenges.

    Purpose of the Study:

    • To investigate the security-based passivity problem for discrete-time Markov jump systems under deception attacks.
    • To develop a resilient asynchronous event-triggered control scheme to mitigate attack impacts and communication load.
    • To ensure system stability and passivity in the presence of deception and asynchronous operation.

    Main Methods:

    • Employing asynchronous control to manage discrepancies between system and controller modes.
    • Designing a resilient asynchronous event-triggered control scheme incorporating deception attack considerations.
    • Developing mode-dependent triggering conditions for efficient state signal transmission.
    • Deriving a new stability criterion to guarantee system passivity.

    Main Results:

    • The proposed event-triggered control scheme effectively handles deception attacks and time-varying delays.
    • The asynchronous control method successfully overcomes nonsynchronous phenomena.
    • The developed stability criterion ensures the passivity of the resultant system under attack conditions.
    • Simulation results validate the theoretical analysis and controller performance.

    Conclusions:

    • The resilient asynchronous event-triggered control is effective for securing discrete-time Markov jump systems against deception attacks.
    • The approach enhances system passivity and stability while optimizing communication resource usage.
    • This work provides a robust framework for designing secure and efficient control systems in adversarial environments.