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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...

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Detalles Bibliográficos
Autores principales: Aguirre, Luis A., Portes, Leonardo L., Letellier, Christophe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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.
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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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