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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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Resilient Event-Triggered Distributed State Estimation for Nonlinear Systems Against DoS Attacks.

Yan Liu, Guang-Hong Yang

    IEEE Transactions on Cybernetics
    |February 26, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a resilient event-triggered distributed state estimation method for general nonlinear systems facing denial-of-service attacks. The approach ensures accurate state estimation and efficient data transmission despite independent communication link compromises.

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    Area of Science:

    • Control Systems Engineering
    • Network Security
    • Nonlinear System Analysis

    Background:

    • Distributed state estimation is crucial for complex systems.
    • Denial-of-Service (DoS) attacks disrupt communication links, degrading estimation performance.
    • Existing methods often focus on linear or specific nonlinear systems, limiting applicability.

    Purpose of the Study:

    • To develop a resilient event-triggered (ET) distributed state estimation scheme for general nonlinear systems.
    • To address the challenge of independent communication link compromises by DoS attacks.
    • To ensure robust state estimation and efficient data transmission under adversarial conditions.

    Main Methods:

    • Utilized incremental homogeneity techniques to design a nonlinear ET distributed estimation scheme.
    • Employed a multimode switching estimator for resilient state estimation.
    • Developed a dynamic trigger threshold with switched update laws to mitigate DoS attack impacts on the ET mechanism.

    Main Results:

    • Sufficient conditions derived from Lyapunov function decay rates guarantee the stability of the estimation error system under DoS attacks.
    • The proposed scheme effectively estimates states and regulates data transmission.
    • Simulation results validate the method's effectiveness in resilient distributed state estimation.

    Conclusions:

    • The developed nonlinear ET distributed estimation scheme offers resilience against DoS attacks in general nonlinear systems.
    • The dynamic trigger threshold effectively overcomes efficiency loss caused by DoS attacks.
    • The approach provides a robust solution for secure and efficient state estimation in networked systems.