Controllability of complex networks with unilateral inputs

Abstract In this paper, we study the problem of controlling complex networks with unilateral controls, i.e., controls which can assume only positive or negative values, not both. Given a complex network represented by the adjacency matrix A, an algorithm is developed that constructs an input matrix...

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Autores principales: Gustav Lindmark, Claudio Altafini
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/266e3875ae314917a6d516649ec87803
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spelling oai:doaj.org-article:266e3875ae314917a6d516649ec878032021-12-02T11:52:56ZControllability of complex networks with unilateral inputs10.1038/s41598-017-01846-62045-2322https://doaj.org/article/266e3875ae314917a6d516649ec878032017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01846-6https://doaj.org/toc/2045-2322Abstract In this paper, we study the problem of controlling complex networks with unilateral controls, i.e., controls which can assume only positive or negative values, not both. Given a complex network represented by the adjacency matrix A, an algorithm is developed that constructs an input matrix B such that the resulting system (A, B) is controllable with a near minimal number of unilateral control inputs. This is made possible by a reformulation of classical conditions for controllability that casts the minimal unilateral input selection problem into well known optimization problems. We identify network properties that make unilateral controllability relatively easy to achieve as compared to unrestricted controllability. The analysis of the network topology for instance allows us to establish theoretical bounds on the minimal number of controls required. For various categories of random networks as well as for a number of real-world networks these lower bounds are often achieved by our heuristics.Gustav LindmarkClaudio AltafiniNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Gustav Lindmark
Claudio Altafini
Controllability of complex networks with unilateral inputs
description Abstract In this paper, we study the problem of controlling complex networks with unilateral controls, i.e., controls which can assume only positive or negative values, not both. Given a complex network represented by the adjacency matrix A, an algorithm is developed that constructs an input matrix B such that the resulting system (A, B) is controllable with a near minimal number of unilateral control inputs. This is made possible by a reformulation of classical conditions for controllability that casts the minimal unilateral input selection problem into well known optimization problems. We identify network properties that make unilateral controllability relatively easy to achieve as compared to unrestricted controllability. The analysis of the network topology for instance allows us to establish theoretical bounds on the minimal number of controls required. For various categories of random networks as well as for a number of real-world networks these lower bounds are often achieved by our heuristics.
format article
author Gustav Lindmark
Claudio Altafini
author_facet Gustav Lindmark
Claudio Altafini
author_sort Gustav Lindmark
title Controllability of complex networks with unilateral inputs
title_short Controllability of complex networks with unilateral inputs
title_full Controllability of complex networks with unilateral inputs
title_fullStr Controllability of complex networks with unilateral inputs
title_full_unstemmed Controllability of complex networks with unilateral inputs
title_sort controllability of complex networks with unilateral inputs
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/266e3875ae314917a6d516649ec87803
work_keys_str_mv AT gustavlindmark controllabilityofcomplexnetworkswithunilateralinputs
AT claudioaltafini controllabilityofcomplexnetworkswithunilateralinputs
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