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Complex dynamic behavior in a viral model with state feedback control strategies

With the consideration of mechanism of prevention and control for the spread of viral diseases, in this paper, we propose two novel virus dynamics models where state feedback control strategies are introduced. The first model incorporates the density of infected cells (or free virus) as control thre...

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Detalles Bibliográficos
Autores principales: Nie, Lin-Fei, Teng, Zhi-Dong, Jung, Il Hyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088607/
https://www.ncbi.nlm.nih.gov/pubmed/32214669
http://dx.doi.org/10.1007/s11071-014-1372-7
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author Nie, Lin-Fei
Teng, Zhi-Dong
Jung, Il Hyo
author_facet Nie, Lin-Fei
Teng, Zhi-Dong
Jung, Il Hyo
author_sort Nie, Lin-Fei
collection PubMed
description With the consideration of mechanism of prevention and control for the spread of viral diseases, in this paper, we propose two novel virus dynamics models where state feedback control strategies are introduced. The first model incorporates the density of infected cells (or free virus) as control threshold value; we analytically show the existence and orbit stability of positive periodic solution. Theoretical results imply that the density of infected cells (or free virus) can be controlled within an adequate level. The other model determines the control strategies by monitoring the density of uninfected cells when it reaches a risk threshold value. We analytically prove the existence and orbit stability of semi-trivial periodic solution, which show that the viral disease dies out. Numerical simulations are carried out to illustrate the main results.
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spelling pubmed-70886072020-03-23 Complex dynamic behavior in a viral model with state feedback control strategies Nie, Lin-Fei Teng, Zhi-Dong Jung, Il Hyo Nonlinear Dyn Original Paper With the consideration of mechanism of prevention and control for the spread of viral diseases, in this paper, we propose two novel virus dynamics models where state feedback control strategies are introduced. The first model incorporates the density of infected cells (or free virus) as control threshold value; we analytically show the existence and orbit stability of positive periodic solution. Theoretical results imply that the density of infected cells (or free virus) can be controlled within an adequate level. The other model determines the control strategies by monitoring the density of uninfected cells when it reaches a risk threshold value. We analytically prove the existence and orbit stability of semi-trivial periodic solution, which show that the viral disease dies out. Numerical simulations are carried out to illustrate the main results. Springer Netherlands 2014-04-02 2014 /pmc/articles/PMC7088607/ /pubmed/32214669 http://dx.doi.org/10.1007/s11071-014-1372-7 Text en © Springer Science+Business Media Dordrecht 2014 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Nie, Lin-Fei
Teng, Zhi-Dong
Jung, Il Hyo
Complex dynamic behavior in a viral model with state feedback control strategies
title Complex dynamic behavior in a viral model with state feedback control strategies
title_full Complex dynamic behavior in a viral model with state feedback control strategies
title_fullStr Complex dynamic behavior in a viral model with state feedback control strategies
title_full_unstemmed Complex dynamic behavior in a viral model with state feedback control strategies
title_short Complex dynamic behavior in a viral model with state feedback control strategies
title_sort complex dynamic behavior in a viral model with state feedback control strategies
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088607/
https://www.ncbi.nlm.nih.gov/pubmed/32214669
http://dx.doi.org/10.1007/s11071-014-1372-7
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