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Event-Triggered Communication-Based Control for Strict-Feedback Nonlinear Systems.

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    This summary is machine-generated.

    This study introduces event-triggered communication for nonlinear systems, reducing data transmission and preventing Zeno behavior. The proposed method ensures system stability by jointly designing the controller, observer, and triggering mechanism.

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    Area of Science:

    • Control Systems Engineering
    • Nonlinear Dynamics
    • Communication Systems

    Background:

    • Event-triggered communication reduces data transmission in control systems.
    • Strict-feedback nonlinear systems with measurement outputs present control challenges.
    • Zeno behavior must be avoided in event-triggered systems.

    Purpose of the Study:

    • To investigate event-triggered communication control for strict-feedback nonlinear systems with measurement outputs.
    • To design novel event-triggered communication schemes that minimize data transmission.
    • To ensure system stability and exclude Zeno behavior.

    Main Methods:

    • Developed two event-triggered communication schemes.
    • Designed an observer for state estimation due to unavailable full-state information.
    • Jointly designed parameters for the state observer, controller, and event-triggering mechanism.
    • Excluded Zeno behavior under the proposed triggering schemes.

    Main Results:

    • Measurement output and control input signals are transmitted only at triggering instants, saving communication costs.
    • The closed-loop system state is proven to converge to the origin.
    • A simulation example validated the theoretical results.

    Conclusions:

    • The proposed event-triggered communication control strategy is effective for strict-feedback nonlinear systems.
    • Joint design of observer, controller, and triggering mechanism is crucial for performance.
    • The method successfully reduces communication load while maintaining system stability.