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Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox

The network science-based determination of driver nodes and sensor placement has become increasingly popular in the field of dynamical systems over the last decade. In this paper, the applicability of the methodology in the field of life sciences is introduced through the analysis of the neural netw...

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Detalles Bibliográficos
Autores principales: Leitold, Dániel, Vathy-Fogarassy, Ágnes, Abonyi, János
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6777013/
https://www.ncbi.nlm.nih.gov/pubmed/31608146
http://dx.doi.org/10.12688/f1000research.19029.2
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author Leitold, Dániel
Vathy-Fogarassy, Ágnes
Abonyi, János
author_facet Leitold, Dániel
Vathy-Fogarassy, Ágnes
Abonyi, János
author_sort Leitold, Dániel
collection PubMed
description The network science-based determination of driver nodes and sensor placement has become increasingly popular in the field of dynamical systems over the last decade. In this paper, the applicability of the methodology in the field of life sciences is introduced through the analysis of the neural network of Caenorhabditis elegans. Simultaneously, an Octave and MATLAB-compatible NOCAD toolbox is proposed that provides a set of methods to automatically generate the relevant structural controllability and observability associated measures for linear or linearised systems and compare the different sensor placement methods.
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spelling pubmed-67770132019-10-10 Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox Leitold, Dániel Vathy-Fogarassy, Ágnes Abonyi, János F1000Res Software Tool Article The network science-based determination of driver nodes and sensor placement has become increasingly popular in the field of dynamical systems over the last decade. In this paper, the applicability of the methodology in the field of life sciences is introduced through the analysis of the neural network of Caenorhabditis elegans. Simultaneously, an Octave and MATLAB-compatible NOCAD toolbox is proposed that provides a set of methods to automatically generate the relevant structural controllability and observability associated measures for linear or linearised systems and compare the different sensor placement methods. F1000 Research Limited 2019-09-18 /pmc/articles/PMC6777013/ /pubmed/31608146 http://dx.doi.org/10.12688/f1000research.19029.2 Text en Copyright: © 2019 Leitold D et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Leitold, Dániel
Vathy-Fogarassy, Ágnes
Abonyi, János
Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox
title Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox
title_full Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox
title_fullStr Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox
title_full_unstemmed Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox
title_short Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox
title_sort network-based observability and controllability analysis of dynamical systems: the nocad toolbox
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6777013/
https://www.ncbi.nlm.nih.gov/pubmed/31608146
http://dx.doi.org/10.12688/f1000research.19029.2
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