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Event-Triggered Distributed State Estimation for Multiagent Systems Under DoS Attacks.

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    This study introduces a novel event-triggered distributed state estimation method for linear multiagent systems facing denial-of-service (DoS) attacks. The approach uses relative measurements and a prediction-based observer to ensure system stability and reliable state estimation.

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    Area of Science:

    • Control Systems Engineering
    • Network Security
    • Distributed Computing

    Background:

    • Linear multiagent systems are susceptible to denial-of-service (DoS) attacks that disrupt communication channels.
    • Traditional state estimation methods often rely on direct measurements, which may not be feasible in networked systems.

    Purpose of the Study:

    • To develop an event-triggered distributed state estimation algorithm for linear multiagent systems under constrained DoS attacks.
    • To address the challenge of using relative measurements for state estimation in the presence of cyberattacks.

    Main Methods:

    • A prediction-based switching observer scheme combined with an event-triggered communication strategy is proposed.
    • The method addresses the invalidation of the event-triggering mechanism caused by DoS attacks.
    • Stability conditions for the estimation error dynamics are derived using Lyapunov function decay rates.

    Main Results:

    • The proposed strategy effectively estimates states in linear multiagent systems under DoS attacks.
    • The event-triggering mechanism remains robust despite jamming attacks with constrained durations.
    • Simulation results validate the effectiveness of the developed estimation strategy.

    Conclusions:

    • The developed event-triggered distributed state estimation approach enhances the resilience of linear multiagent systems against DoS attacks.
    • The use of relative measurements and a prediction-based observer offers a viable solution for secure state estimation in networked systems.