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Structural, dynamical and symbolic observability: From dynamical systems to networks
Classical definitions of observability classify a system as either being observable or not. Observability has been recognized as an important feature to study complex networks, and as for dynamical systems the focus has been on determining conditions for a network to be observable. About twenty year...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209294/ https://www.ncbi.nlm.nih.gov/pubmed/30379892 http://dx.doi.org/10.1371/journal.pone.0206180 |
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author | Aguirre, Luis A. Portes, Leonardo L. Letellier, Christophe |
author_facet | Aguirre, Luis A. Portes, Leonardo L. Letellier, Christophe |
author_sort | Aguirre, Luis A. |
collection | PubMed |
description | Classical definitions of observability classify a system as either being observable or not. Observability has been recognized as an important feature to study complex networks, and as for dynamical systems the focus has been on determining conditions for a network to be observable. About twenty years ago continuous measures of observability for nonlinear dynamical systems started to be used. In this paper various aspects of observability that are established for dynamical systems will be investigated in the context of networks. In particular it will be discussed in which ways simple networks can be ranked in terms of observability using continuous measures of such a property. Also it is pointed out that the analysis of the network topology is typically not sufficient for observability purposes, since both the dynamics and the coupling of such nodes play a vital role. Some of the main ideas are illustrated by means of numerical simulations. |
format | Online Article Text |
id | pubmed-6209294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62092942018-11-19 Structural, dynamical and symbolic observability: From dynamical systems to networks Aguirre, Luis A. Portes, Leonardo L. Letellier, Christophe PLoS One Research Article Classical definitions of observability classify a system as either being observable or not. Observability has been recognized as an important feature to study complex networks, and as for dynamical systems the focus has been on determining conditions for a network to be observable. About twenty years ago continuous measures of observability for nonlinear dynamical systems started to be used. In this paper various aspects of observability that are established for dynamical systems will be investigated in the context of networks. In particular it will be discussed in which ways simple networks can be ranked in terms of observability using continuous measures of such a property. Also it is pointed out that the analysis of the network topology is typically not sufficient for observability purposes, since both the dynamics and the coupling of such nodes play a vital role. Some of the main ideas are illustrated by means of numerical simulations. Public Library of Science 2018-10-31 /pmc/articles/PMC6209294/ /pubmed/30379892 http://dx.doi.org/10.1371/journal.pone.0206180 Text en © 2018 Aguirre et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Aguirre, Luis A. Portes, Leonardo L. Letellier, Christophe Structural, dynamical and symbolic observability: From dynamical systems to networks |
title | Structural, dynamical and symbolic observability: From dynamical systems to networks |
title_full | Structural, dynamical and symbolic observability: From dynamical systems to networks |
title_fullStr | Structural, dynamical and symbolic observability: From dynamical systems to networks |
title_full_unstemmed | Structural, dynamical and symbolic observability: From dynamical systems to networks |
title_short | Structural, dynamical and symbolic observability: From dynamical systems to networks |
title_sort | structural, dynamical and symbolic observability: from dynamical systems to networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209294/ https://www.ncbi.nlm.nih.gov/pubmed/30379892 http://dx.doi.org/10.1371/journal.pone.0206180 |
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