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Event-Triggered Adaptive Output Feedback Control for a Class of Uncertain Nonlinear Systems With Actuator Failures.

Cui-Hua Zhang, Guang-Hong Yang

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    Summary

    This study presents an event-triggered adaptive output feedback control for uncertain nonlinear systems with actuator failures and unknown control direction. The proposed method ensures system stability and accurate tracking, even with complex failures.

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    Area of Science:

    • Control Systems Engineering
    • Nonlinear Dynamics
    • Artificial Intelligence in Control

    Background:

    • Uncertain nonlinear systems pose significant control challenges.
    • Actuator failures and unknown control direction complicate control design.
    • Event-triggered control strategies aim to reduce communication and computation burdens.

    Purpose of the Study:

    • To develop an event-triggered adaptive output feedback control for uncertain nonlinear systems.
    • To address actuator failures and unknown control direction simultaneously.
    • To ensure output tracking and bounded signals in the closed-loop system.

    Main Methods:

    • Adaptive backstepping technique for controller design.
    • Radial basis function neural networks for identifying unknown system terms.
    • A novel state observer with adaptive compensation for state estimation.
    • A time-variant event-triggered rule for controller activation.

    Main Results:

    • Guaranteed output signal tracking of the reference signal.
    • Ensured boundedness of all signals within the closed-loop system.
    • Successful handling of actuator loss-of-effectiveness faults and unknown control direction.
    • Demonstrated validity through a practical example.

    Conclusions:

    • The proposed event-triggered adaptive output feedback control is effective for uncertain nonlinear systems.
    • The strategy robustly handles actuator failures and unknown control direction.
    • This approach offers a more efficient and reliable control solution compared to existing methods.