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Low-dimensional behavior of Kuramoto model with inertia in complex networks
Low-dimensional behavior of large systems of globally coupled oscillators has been intensively investigated since the introduction of the Ott-Antonsen ansatz. In this report, we generalize the Ott-Antonsen ansatz to second-order Kuramoto models in complex networks. With an additional inertia term, w...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4007097/ https://www.ncbi.nlm.nih.gov/pubmed/24786680 http://dx.doi.org/10.1038/srep04783 |
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author | Ji, Peng Peron, Thomas K. D. M. Rodrigues, Francisco A. Kurths, Jürgen |
author_facet | Ji, Peng Peron, Thomas K. D. M. Rodrigues, Francisco A. Kurths, Jürgen |
author_sort | Ji, Peng |
collection | PubMed |
description | Low-dimensional behavior of large systems of globally coupled oscillators has been intensively investigated since the introduction of the Ott-Antonsen ansatz. In this report, we generalize the Ott-Antonsen ansatz to second-order Kuramoto models in complex networks. With an additional inertia term, we find a low-dimensional behavior similar to the first-order Kuramoto model, derive a self-consistent equation and seek the time-dependent derivation of the order parameter. Numerical simulations are also conducted to verify our analytical results. |
format | Online Article Text |
id | pubmed-4007097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-40070972014-05-05 Low-dimensional behavior of Kuramoto model with inertia in complex networks Ji, Peng Peron, Thomas K. D. M. Rodrigues, Francisco A. Kurths, Jürgen Sci Rep Article Low-dimensional behavior of large systems of globally coupled oscillators has been intensively investigated since the introduction of the Ott-Antonsen ansatz. In this report, we generalize the Ott-Antonsen ansatz to second-order Kuramoto models in complex networks. With an additional inertia term, we find a low-dimensional behavior similar to the first-order Kuramoto model, derive a self-consistent equation and seek the time-dependent derivation of the order parameter. Numerical simulations are also conducted to verify our analytical results. Nature Publishing Group 2014-05-02 /pmc/articles/PMC4007097/ /pubmed/24786680 http://dx.doi.org/10.1038/srep04783 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. The images in this article are included in the article's Creative Commons license, unless indicated otherwise in the image credit; if the image is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the image. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Article Ji, Peng Peron, Thomas K. D. M. Rodrigues, Francisco A. Kurths, Jürgen Low-dimensional behavior of Kuramoto model with inertia in complex networks |
title | Low-dimensional behavior of Kuramoto model with inertia in complex networks |
title_full | Low-dimensional behavior of Kuramoto model with inertia in complex networks |
title_fullStr | Low-dimensional behavior of Kuramoto model with inertia in complex networks |
title_full_unstemmed | Low-dimensional behavior of Kuramoto model with inertia in complex networks |
title_short | Low-dimensional behavior of Kuramoto model with inertia in complex networks |
title_sort | low-dimensional behavior of kuramoto model with inertia in complex networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4007097/ https://www.ncbi.nlm.nih.gov/pubmed/24786680 http://dx.doi.org/10.1038/srep04783 |
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