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Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol
This paper proposes a new consensus criterion for nonlinear complex systems with edge betweenness centrality measure. By construction of a suitable Lyapunov-Krasovskii functional, the consensus criterion for such systems is established in terms of linear matrix inequalities (LMIs) which can be easil...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489014/ https://www.ncbi.nlm.nih.gov/pubmed/26167526 http://dx.doi.org/10.1155/2015/493907 |
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author | Park, M. J. Kwon, O. M. Cha, E. J. |
author_facet | Park, M. J. Kwon, O. M. Cha, E. J. |
author_sort | Park, M. J. |
collection | PubMed |
description | This paper proposes a new consensus criterion for nonlinear complex systems with edge betweenness centrality measure. By construction of a suitable Lyapunov-Krasovskii functional, the consensus criterion for such systems is established in terms of linear matrix inequalities (LMIs) which can be easily solved by various effective optimization algorithms. One numerical example is given to illustrate the effectiveness of the proposed methods. |
format | Online Article Text |
id | pubmed-4489014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-44890142015-07-12 Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol Park, M. J. Kwon, O. M. Cha, E. J. ScientificWorldJournal Research Article This paper proposes a new consensus criterion for nonlinear complex systems with edge betweenness centrality measure. By construction of a suitable Lyapunov-Krasovskii functional, the consensus criterion for such systems is established in terms of linear matrix inequalities (LMIs) which can be easily solved by various effective optimization algorithms. One numerical example is given to illustrate the effectiveness of the proposed methods. Hindawi Publishing Corporation 2015 2015-06-18 /pmc/articles/PMC4489014/ /pubmed/26167526 http://dx.doi.org/10.1155/2015/493907 Text en Copyright © 2015 M. J. Park et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Park, M. J. Kwon, O. M. Cha, E. J. Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol |
title |
Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol |
title_full |
Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol |
title_fullStr |
Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol |
title_full_unstemmed |
Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol |
title_short |
Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol |
title_sort | consensus of nonlinear complex systems with edge betweenness centrality measure under time-varying sampled-data protocol |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489014/ https://www.ncbi.nlm.nih.gov/pubmed/26167526 http://dx.doi.org/10.1155/2015/493907 |
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