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Related Experiment Videos

Adaptive Prescribed-Time Event-Triggered Control of Nonlinear Networked Systems Under Dynamic Quantization.

Wenhui Liu, Shengyuan Xu, Qian Ma

    IEEE Transactions on Cybernetics
    |March 27, 2025
    PubMed
    Summary

    This study introduces adaptive event-triggered and quantized control for uncertain nonlinear systems using a prescribed-time (PT) framework. The novel approach enhances data efficiency and ensures system stability without the Zeno phenomenon.

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    Area of Science:

    • Control Systems Engineering
    • Nonlinear Dynamics
    • Adaptive Control Theory

    Background:

    • Networked control systems face challenges with data transmission efficiency and stability under uncertainty.
    • Existing control methods may have high computational loads and are sensitive to system parameters.

    Purpose of the Study:

    • To develop an adaptive event-triggered and quantized control framework for uncertain nonlinear systems.
    • To improve data transmission efficiency in networked control systems.
    • To ensure global prescribed-time (PT) stability without the Zeno phenomenon.

    Main Methods:

    • Introduction of a dynamic event-triggering mechanism and a dynamic event-driven quantizer.
    • Development of a discrete control framework without assuming input-to-state stability (ISS).

    Related Experiment Videos

  • Proposal of PT event-triggered adaptive and PT sampled/quantized adaptive controllers based on adaptive parameter estimation.
  • Main Results:

    • A novel "one-step-controller" design reduces computational loads compared to backstepping methods.
    • Global PT stability of the nonlinear system is guaranteed.
    • The Zeno phenomenon is avoided in the event-triggered sampling process.

    Conclusions:

    • The proposed adaptive event-triggered and quantized control method is effective for uncertain nonlinear systems.
    • The approach enhances data transmission efficiency and ensures system stability.
    • Validation through numerical and manipulator systems confirms the method's practicality.