Emergent dynamics of the inertial Kuramoto model with frustration on a locally coupled graph

Abstract We study the synchronised behaviour of the inertial Kuramoto oscillators with frustration effect under a symmetric and connected network. Due to the lack of second-order gradient flow structure and singularity of second-order derivative of diameter, we shift to construct convex combinations of oscillators and related new energy functions that can control the phase and frequency diameters. Under sufficient frameworks on initial data and system parameters, we derive first-order dissipative differential inequalities of constructed energy functions. This eventually gives rise to the emergence of frequency synchronisation exponentially fast.

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Publication Details

Journal
Nonlinearity
Published
2025-09-09
DOI
https://doi.org/10.1088/1361-6544/adfff4
Citations
1
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
1.49
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article

Emergent dynamics of the inertial Kuramoto model with frustration on a locally coupled graph

Tingting Zhu, Xiongtao Zhang
1 citations
Nonlinearity
Nonlinear Dynamics and Pattern Formation
1.49
article

Emergent dynamics of the inertial Kuramoto model with frustration on a locally coupled graph

Tingting Zhu, Xiongtao Zhang
article en
1 citations

Abstract

Abstract We study the synchronised behaviour of the inertial Kuramoto oscillators with frustration effect under a symmetric and connected network. Due to the lack of second-order gradient flow structure and singularity of second-order derivative of diameter, we shift to construct convex combinations of oscillators and related new energy functions that can control the phase and frequency diameters. Under sufficient frameworks on initial data and system parameters, we derive first-order dissipative differential inequalities of constructed energy functions. This eventually gives rise to the emergence of frequency synchronisation exponentially fast.

NonlinearityVol. 38(9)
Wuhan University (CN), Hefei University (CN)
Openalex Percentile: Top 13%
Nonlinear Dynamics and Pattern Formation
1.49
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