Appropriate time to apply control input to complex dynamical systems
Abstract Controlling a network structure has many potential applications many fields. In order to have an effective network control, not only finding good driver nodes is important, but also finding the optimal time to apply the external control signals to network nodes has a critical role. If appli...
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Nature Portfolio
2020
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oai:doaj.org-article:fc0899c2d2e3442dad5a447ebf39085e2021-12-02T12:03:15ZAppropriate time to apply control input to complex dynamical systems10.1038/s41598-020-78909-82045-2322https://doaj.org/article/fc0899c2d2e3442dad5a447ebf39085e2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78909-8https://doaj.org/toc/2045-2322Abstract Controlling a network structure has many potential applications many fields. In order to have an effective network control, not only finding good driver nodes is important, but also finding the optimal time to apply the external control signals to network nodes has a critical role. If applied in an appropriate time, one might be to control a network with a smaller control signals, and thus less energy. In this manuscript, we show that there is a relationship between the strength of the internal fluxes and the effectiveness of the external control signal. To be more effective, external control signals should be applied when the strength of the internal states is the smallest. We validate this claim on synthetic networks as well as a number of real networks. Our results may have important implications in systems medicine, in order to find the most appropriate time to inject drugs as a signal to control diseases.Ali EbrahimiAbbas Nowzari-DaliniMahdi JaliliAli Masoudi-NejadNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-7 (2020) |
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Medicine R Science Q Ali Ebrahimi Abbas Nowzari-Dalini Mahdi Jalili Ali Masoudi-Nejad Appropriate time to apply control input to complex dynamical systems |
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Abstract Controlling a network structure has many potential applications many fields. In order to have an effective network control, not only finding good driver nodes is important, but also finding the optimal time to apply the external control signals to network nodes has a critical role. If applied in an appropriate time, one might be to control a network with a smaller control signals, and thus less energy. In this manuscript, we show that there is a relationship between the strength of the internal fluxes and the effectiveness of the external control signal. To be more effective, external control signals should be applied when the strength of the internal states is the smallest. We validate this claim on synthetic networks as well as a number of real networks. Our results may have important implications in systems medicine, in order to find the most appropriate time to inject drugs as a signal to control diseases. |
format |
article |
author |
Ali Ebrahimi Abbas Nowzari-Dalini Mahdi Jalili Ali Masoudi-Nejad |
author_facet |
Ali Ebrahimi Abbas Nowzari-Dalini Mahdi Jalili Ali Masoudi-Nejad |
author_sort |
Ali Ebrahimi |
title |
Appropriate time to apply control input to complex dynamical systems |
title_short |
Appropriate time to apply control input to complex dynamical systems |
title_full |
Appropriate time to apply control input to complex dynamical systems |
title_fullStr |
Appropriate time to apply control input to complex dynamical systems |
title_full_unstemmed |
Appropriate time to apply control input to complex dynamical systems |
title_sort |
appropriate time to apply control input to complex dynamical systems |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/fc0899c2d2e3442dad5a447ebf39085e |
work_keys_str_mv |
AT aliebrahimi appropriatetimetoapplycontrolinputtocomplexdynamicalsystems AT abbasnowzaridalini appropriatetimetoapplycontrolinputtocomplexdynamicalsystems AT mahdijalili appropriatetimetoapplycontrolinputtocomplexdynamicalsystems AT alimasoudinejad appropriatetimetoapplycontrolinputtocomplexdynamicalsystems |
_version_ |
1718394786082193408 |