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    Area of Science:

    • Complex Systems
    • Control Theory
    • Network Science

    Background:

    • Kuramoto oscillator networks are fundamental models for studying synchronization phenomena in coupled systems.
    • Evaluating energy consumption and control time is crucial for practical applications of synchronization control.

    Purpose of the Study:

    • To investigate fixed-time synchronization (FxTS) and prescribed-time synchronization (PTS) in Kuramoto oscillator networks.
    • To estimate the energy consumption associated with FxTS and PTS.
    • To analyze the impact of control strategies on synchronization time and energy efficiency.

    Main Methods:

    • Development of two sufficient conditions for achieving FxTS in Kuramoto networks.
    • Design of a prescribed-time controller incorporating a time-varying function for PTS.
    • Derivation of energy consumption bounds for both FxTS and PTS control processes.
    • Simulation using a 5-node Kuramoto oscillator network to validate the proposed methods.

    Main Results:

    • Sufficient conditions for FxTS (phase and frequency agreement) were established.
    • A novel PTS controller was proposed, achieving synchronization independent of initial conditions and controller parameters.
    • Energy consumption bounds were derived for FxTS and PTS, aiding in system working time evaluation.
    • Effectiveness of FxTS and PTS was demonstrated through a 5-node network example.

    Conclusions:

    • The study successfully demonstrated FxTS and PTS for Kuramoto oscillator networks.
    • The proposed methods provide a framework for energy-efficient and time-bound synchronization control.
    • The independence of setting-time in PTS enhances its applicability in diverse systems.