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    This study introduces a novel model-based event-triggered sliding-mode control (SMC) for multi-input systems, reducing communication load while ensuring stability and robustness against disturbances and uncertainties. The approach was validated using a jet transport aircraft model.

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    Area of Science:

    • Control Engineering
    • Systems Theory
    • Aerospace Engineering

    Background:

    • Sliding-mode control (SMC) is effective for systems with uncertainties.
    • Event-triggered control reduces communication burden in control systems.
    • Existing event-triggered SMC methods are primarily for single-input systems.

    Purpose of the Study:

    • To develop a model-based event-triggered SMC for multi-input systems.
    • To mitigate communication load while maintaining system stability and robustness.
    • To analyze the feasibility and effectiveness of the proposed control scheme.

    Main Methods:

    • A model-based event-triggered SMC scheme with a co-designed triggered condition.
    • Introduction of an auxiliary disturbance input to ensure stability.
    • Analysis of the minimum inter-event time for feasibility.
    • Optimization of system robustness and performance using a genetic algorithm (GA).

    Main Results:

    • The proposed SMC scheme effectively reduces data communication.
    • Stability of both model dynamics and sliding-mode dynamics is ensured.
    • The approach eliminates matched external disturbances and model uncertainties.
    • A positive lower bound for minimum inter-event time was established.

    Conclusions:

    • The developed model-based event-triggered SMC is effective for multi-input systems.
    • The method enhances robustness and performance while minimizing communication.
    • Validation on a jet transport aircraft demonstrates practical applicability.