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Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks

Structural controllability has been proposed as an analytical framework for making predictions regarding the control of complex networks across myriad disciplines in the physical and life sciences (Liu et al., Nature:473(7346):167–173, 2011). Although the integration of control theory and network an...

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Autores principales: Cowan, Noah J., Chastain, Erick J., Vilhena, Daril A., Freudenberg, James S., Bergstrom, Carl T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3382243/
https://www.ncbi.nlm.nih.gov/pubmed/22761682
http://dx.doi.org/10.1371/journal.pone.0038398
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author Cowan, Noah J.
Chastain, Erick J.
Vilhena, Daril A.
Freudenberg, James S.
Bergstrom, Carl T.
author_facet Cowan, Noah J.
Chastain, Erick J.
Vilhena, Daril A.
Freudenberg, James S.
Bergstrom, Carl T.
author_sort Cowan, Noah J.
collection PubMed
description Structural controllability has been proposed as an analytical framework for making predictions regarding the control of complex networks across myriad disciplines in the physical and life sciences (Liu et al., Nature:473(7346):167–173, 2011). Although the integration of control theory and network analysis is important, we argue that the application of the structural controllability framework to most if not all real-world networks leads to the conclusion that a single control input, applied to the power dominating set, is all that is needed for structural controllability. This result is consistent with the well-known fact that controllability and its dual observability are generic properties of systems. We argue that more important than issues of structural controllability are the questions of whether a system is almost uncontrollable, whether it is almost unobservable, and whether it possesses almost pole-zero cancellations.
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spelling pubmed-33822432012-07-03 Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks Cowan, Noah J. Chastain, Erick J. Vilhena, Daril A. Freudenberg, James S. Bergstrom, Carl T. PLoS One Research Article Structural controllability has been proposed as an analytical framework for making predictions regarding the control of complex networks across myriad disciplines in the physical and life sciences (Liu et al., Nature:473(7346):167–173, 2011). Although the integration of control theory and network analysis is important, we argue that the application of the structural controllability framework to most if not all real-world networks leads to the conclusion that a single control input, applied to the power dominating set, is all that is needed for structural controllability. This result is consistent with the well-known fact that controllability and its dual observability are generic properties of systems. We argue that more important than issues of structural controllability are the questions of whether a system is almost uncontrollable, whether it is almost unobservable, and whether it possesses almost pole-zero cancellations. Public Library of Science 2012-06-22 /pmc/articles/PMC3382243/ /pubmed/22761682 http://dx.doi.org/10.1371/journal.pone.0038398 Text en Cowan 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Cowan, Noah J.
Chastain, Erick J.
Vilhena, Daril A.
Freudenberg, James S.
Bergstrom, Carl T.
Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks
title Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks
title_full Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks
title_fullStr Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks
title_full_unstemmed Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks
title_short Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks
title_sort nodal dynamics, not degree distributions, determine the structural controllability of complex networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3382243/
https://www.ncbi.nlm.nih.gov/pubmed/22761682
http://dx.doi.org/10.1371/journal.pone.0038398
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