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Feedback control systems01:26

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
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Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
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    This study presents a new composite control method for networked systems facing unknown actuator attacks and disturbances. The approach enhances system stability and reduces data transmission using event-triggering and adaptive fuzzy logic control.

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    Area of Science:

    • Control Systems Engineering
    • Networked Systems
    • Adaptive Control

    Background:

    • Networked systems face challenges from unknown actuator attacks and external disturbances.
    • Existing control methods may suffer from excessive data transmission and limited disturbance rejection.
    • Need for robust control strategies that ensure system stability and performance under adversarial conditions.

    Purpose of the Study:

    • To develop a composite anti-disturbance and attack control strategy for networked systems.
    • To reduce data transmission using a double-ended event-triggering mechanism.
    • To estimate and compensate for unknown disturbances and attacks.

    Main Methods:

    • Design of a double-ended event-triggering mechanism for efficient data transmission.
    • Development of an augmented observer for state and disturbance estimation.
    • Utilization of fuzzy logic systems for approximating unknown attack signals and adaptive output feedback control.

    Main Results:

    • A novel functional dependent on sampling instants is constructed to analyze system boundedness.
    • Low-conservatism criterion conditions for semi-global uniform ultimate boundedness are derived.
    • Event-triggering matrix and controller gains are explicitly solved using matrix transformation.

    Conclusions:

    • The proposed composite control method effectively mitigates unknown actuator attacks and external disturbances.
    • The event-triggering mechanism significantly reduces data transmission while maintaining system stability.
    • Validation through simulations on a visual servo control system and a third-order system confirms the method's feasibility and effectiveness.