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Research Article | Open Access

Synchronization of the generalized Kuramoto model with time delay and frustration

School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China
Key Laboratory of Applied Mathematics and Artificial Intelligence Mechanism, Hefei University, Hefei 230601, China
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Abstract

We studied the collective behaviors of the time-delayed Kuramoto model with frustration under general network topology. For the generalized Kuramoto model with the graph diameter no greater than two and under a sufficient regime in terms of small time delay and frustration and large coupling strength, we showed that the complete frequency synchronization occurs exponentially fast when the initial configuration is distributed in a half circle. We also studied a complete network, which is a small perturbation of all-to-all coupling, as well as presented sufficient frameworks leading to the exponential emergence of frequency synchronization for the initial data confined in a half circle.

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Networks and Heterogeneous Media
Pages 1772-1798

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Cite this article:
Zhu T. Synchronization of the generalized Kuramoto model with time delay and frustration. Networks and Heterogeneous Media, 2023, 18(4): 1772-1798. https://doi.org/10.3934/nhm.2023077

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Received: 20 May 2023
Revised: 17 September 2023
Accepted: 09 October 2023
Published: 15 December 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)