Controllability and observability in complex networks – the effect of connection types

Abstract Network theory based controllability and observability analysis have become widely used techniques. We realized that most applications are not related to dynamical systems, and mainly the physical topologies of the systems are analysed without deeper considerations. Here, we draw attention...

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Autores principales:	Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/69337536f7e94bd59237bf6bd31e46e0
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spelling	oai:doaj.org-article:69337536f7e94bd59237bf6bd31e46e02021-12-02T11:51:03ZControllability and observability in complex networks – the effect of connection types10.1038/s41598-017-00160-52045-2322https://doaj.org/article/69337536f7e94bd59237bf6bd31e46e02017-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00160-5https://doaj.org/toc/2045-2322Abstract Network theory based controllability and observability analysis have become widely used techniques. We realized that most applications are not related to dynamical systems, and mainly the physical topologies of the systems are analysed without deeper considerations. Here, we draw attention to the importance of dynamics inside and between state variables by adding functional relationship defined edges to the original topology. The resulting networks differ from physical topologies of the systems and describe more accurately the dynamics of the conservation of mass, momentum and energy. We define the typical connection types and highlight how the reinterpreted topologies change the number of the necessary sensors and actuators in benchmark networks widely studied in the literature. Additionally, we offer a workflow for network science-based dynamical system analysis, and we also introduce a method for generating the minimum number of necessary actuator and sensor points in the system.Dániel LeitoldÁgnes Vathy-FogarassyJános AbonyiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dániel Leitold Ágnes Vathy-Fogarassy János Abonyi Controllability and observability in complex networks – the effect of connection types
description	Abstract Network theory based controllability and observability analysis have become widely used techniques. We realized that most applications are not related to dynamical systems, and mainly the physical topologies of the systems are analysed without deeper considerations. Here, we draw attention to the importance of dynamics inside and between state variables by adding functional relationship defined edges to the original topology. The resulting networks differ from physical topologies of the systems and describe more accurately the dynamics of the conservation of mass, momentum and energy. We define the typical connection types and highlight how the reinterpreted topologies change the number of the necessary sensors and actuators in benchmark networks widely studied in the literature. Additionally, we offer a workflow for network science-based dynamical system analysis, and we also introduce a method for generating the minimum number of necessary actuator and sensor points in the system.
format	article
author	Dániel Leitold Ágnes Vathy-Fogarassy János Abonyi
author_facet	Dániel Leitold Ágnes Vathy-Fogarassy János Abonyi
author_sort	Dániel Leitold
title	Controllability and observability in complex networks – the effect of connection types
title_short	Controllability and observability in complex networks – the effect of connection types
title_full	Controllability and observability in complex networks – the effect of connection types
title_fullStr	Controllability and observability in complex networks – the effect of connection types
title_full_unstemmed	Controllability and observability in complex networks – the effect of connection types
title_sort	controllability and observability in complex networks – the effect of connection types
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/69337536f7e94bd59237bf6bd31e46e0
work_keys_str_mv	AT danielleitold controllabilityandobservabilityincomplexnetworkstheeffectofconnectiontypes AT agnesvathyfogarassy controllabilityandobservabilityincomplexnetworkstheeffectofconnectiontypes AT janosabonyi controllabilityandobservabilityincomplexnetworkstheeffectofconnectiontypes
_version_	1718395169070383104

Controllability and observability in complex networks – the effect of connection types

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