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Synchronization of Heterogeneous Forced First-Order Kuramoto Oscillator Networks: A Differential Inequality Approach

Shih-Hsin Chen, Chia‐Chi Chu, Chun-Hsiung Hsia, Ming‐Cheng Shiue

2021IEEE Transactions on Circuits and Systems I Regular Papers19 citationsDOI

Abstract

A differential inequality approach is utilized to derive several stability conditions for synchronizing heterogeneous first-order forced coupled Kuramoto oscillator networks. First, we show that if either the amplitude of the external force is large enough or all natural frequencies equal to the external frequency, the heterogeneous first-order forced coupled Kuramoto oscillator network will reach the frequency synchronization for any initial condition. In particular, when all natural frequencies equal to the external frequency, a phase synchronization can be achieved when the amplitude of external force is not zero and the initial configuration is confined to a half circle. For non-identical cases, we show that if the average of all natural frequencies equals to the external frequency, the coupling strength is relatively large compared to the differences of natural frequencies and the amplitudes of external forces, and the initial configuration is confined to a half circle, the heterogeneous first-order forced coupled Kuramoto oscillator network still exhibit a frequency synchronization. Both quantitative and qualitative comparisons with existing synchronization conditions are examined by numerical simulations. These results indicate that these proposed criteria seem to be less conservative.

Topics & Concepts

Kuramoto modelSynchronization (alternating current)SynchronizingAmplitudeSynchronization networksNatural frequencyMathematicsControl theory (sociology)Stability (learning theory)Statistical physicsCoupling (piping)Mathematical analysisPhysicsTopology (electrical circuits)Computer scienceQuantum mechanicsVibrationMechanical engineeringCombinatoricsMachine learningEngineeringArtificial intelligenceControl (management)Nonlinear Dynamics and Pattern FormationNeural Networks Stability and SynchronizationSlime Mold and Myxomycetes Research
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