Energy scaling of targeted optimal control of complex networks
The energy required to control a dynamical complex network can be prohibitively large when there are only a few control inputs. Here the authors demonstrate that if only a subset of the network is targeted the energy requirements decrease exponentially.
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2017-04-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/ncomms15145 |
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doaj-bf8fefb5482a46be8107cce787097eb42021-05-11T07:12:47ZengNature Publishing GroupNature Communications2041-17232017-04-018111010.1038/ncomms15145Energy scaling of targeted optimal control of complex networksIsaac Klickstein0Afroza Shirin1Francesco Sorrentino2Department of Mechanical Engineering, The University of New MexicoDepartment of Mechanical Engineering, The University of New MexicoDepartment of Mechanical Engineering, The University of New MexicoThe energy required to control a dynamical complex network can be prohibitively large when there are only a few control inputs. Here the authors demonstrate that if only a subset of the network is targeted the energy requirements decrease exponentially.https://doi.org/10.1038/ncomms15145 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Isaac Klickstein Afroza Shirin Francesco Sorrentino |
spellingShingle |
Isaac Klickstein Afroza Shirin Francesco Sorrentino Energy scaling of targeted optimal control of complex networks Nature Communications |
author_facet |
Isaac Klickstein Afroza Shirin Francesco Sorrentino |
author_sort |
Isaac Klickstein |
title |
Energy scaling of targeted optimal control of complex networks |
title_short |
Energy scaling of targeted optimal control of complex networks |
title_full |
Energy scaling of targeted optimal control of complex networks |
title_fullStr |
Energy scaling of targeted optimal control of complex networks |
title_full_unstemmed |
Energy scaling of targeted optimal control of complex networks |
title_sort |
energy scaling of targeted optimal control of complex networks |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2017-04-01 |
description |
The energy required to control a dynamical complex network can be prohibitively large when there are only a few control inputs. Here the authors demonstrate that if only a subset of the network is targeted the energy requirements decrease exponentially. |
url |
https://doi.org/10.1038/ncomms15145 |
work_keys_str_mv |
AT isaacklickstein energyscalingoftargetedoptimalcontrolofcomplexnetworks AT afrozashirin energyscalingoftargetedoptimalcontrolofcomplexnetworks AT francescosorrentino energyscalingoftargetedoptimalcontrolofcomplexnetworks |
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