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Segment-Weighted Information-Based Event-Triggered Mechanism for Networked Control Systems.

Zhou Gu, Dong Yue, Choon Ki Ahn

    IEEE Transactions on Cybernetics
    |October 27, 2022
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    Summary
    This summary is machine-generated.

    This study introduces a novel information transmission scheme for networked control systems (NCSs) using segment-weighted information (SWI) in a sliding historical window (SHW). This method reduces information loss and minimizes triggering events in NCSs with stochastic disturbances.

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    Area of Science:

    • Control Engineering
    • Networked Systems
    • Information Theory

    Background:

    • Networked control systems (NCSs) face challenges with information transmission and event triggering.
    • Traditional sampling methods can lead to significant information loss.
    • Stochastic disturbances in NCSs can cause excessive triggering events.

    Purpose of the Study:

    • To investigate the event-triggered problem in NCSs.
    • To establish a novel information transmission scheme using segment-weighted information (SWI).
    • To design an SWI-based event-triggered mechanism (ETM) to optimize network transmission scheduling.

    Main Methods:

    • Calculation and sampling of segment-weighted information (SWI) within a sliding historical window (SHW).
    • Development of an SWI-based event-triggered mechanism (ETM) for data necessity determination.
    • Application of Lyapunov functional approach for deriving sufficient conditions.
    • Prevention of Zeno phenomena through periodic sampling.

    Main Results:

    • The proposed scheme reduces information loss compared to direct sampling by incorporating historical data.
    • The SWI-based ETM effectively reduces unexpected triggering events, especially under stochastic disturbances.
    • Sufficient conditions for system stability were derived.
    • Numerical simulations validated the proposed method's effectiveness.

    Conclusions:

    • The novel SWI-based information transmission scheme and ETM offer improved performance for NCSs.
    • This approach enhances control system efficiency by minimizing data transmission and preventing excessive triggering.
    • The method provides a robust solution for NCSs operating under uncertain conditions.