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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
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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. |
format | Online Article Text |
id | pubmed-6777013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
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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