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Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread
This work evaluates the potential of using sliding mode reference conditioning (SMRC) techniques as a guide for non-pharmaceutical intervention (NPI) to control the COVID-19 pandemic. In particular, for the epidemiological problem addressed here, it is used to compute the contact rate reduction requ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945868/ https://www.ncbi.nlm.nih.gov/pubmed/33727950 http://dx.doi.org/10.1016/j.bspc.2021.102557 |
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author | Nuñez, Sebastián Inthamoussou, Fernando A. Valenciaga, Fernando De Battista, Hernán Garelli, Fabricio |
author_facet | Nuñez, Sebastián Inthamoussou, Fernando A. Valenciaga, Fernando De Battista, Hernán Garelli, Fabricio |
author_sort | Nuñez, Sebastián |
collection | PubMed |
description | This work evaluates the potential of using sliding mode reference conditioning (SMRC) techniques as a guide for non-pharmaceutical intervention (NPI) to control the COVID-19 pandemic. In particular, for the epidemiological problem addressed here, it is used to compute the contact rate reduction requirement in order to limit the infectious population to a given threshold. The SMRC controller allows the desired output variable limit and its approaching rate to be tuned explicitly. Implementation issues are taken into account and a periodically update of the NPI is proposed for the real life application. The strategy is evaluated under different scenarios where its distinctive features are exhibited. |
format | Online Article Text |
id | pubmed-7945868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79458682021-03-11 Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread Nuñez, Sebastián Inthamoussou, Fernando A. Valenciaga, Fernando De Battista, Hernán Garelli, Fabricio Biomed Signal Process Control Article This work evaluates the potential of using sliding mode reference conditioning (SMRC) techniques as a guide for non-pharmaceutical intervention (NPI) to control the COVID-19 pandemic. In particular, for the epidemiological problem addressed here, it is used to compute the contact rate reduction requirement in order to limit the infectious population to a given threshold. The SMRC controller allows the desired output variable limit and its approaching rate to be tuned explicitly. Implementation issues are taken into account and a periodically update of the NPI is proposed for the real life application. The strategy is evaluated under different scenarios where its distinctive features are exhibited. Elsevier Ltd. 2021-05 2021-03-10 /pmc/articles/PMC7945868/ /pubmed/33727950 http://dx.doi.org/10.1016/j.bspc.2021.102557 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Nuñez, Sebastián Inthamoussou, Fernando A. Valenciaga, Fernando De Battista, Hernán Garelli, Fabricio Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread |
title | Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread |
title_full | Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread |
title_fullStr | Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread |
title_full_unstemmed | Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread |
title_short | Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread |
title_sort | potentials of constrained sliding mode control as an intervention guide to manage covid19 spread |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7945868/ https://www.ncbi.nlm.nih.gov/pubmed/33727950 http://dx.doi.org/10.1016/j.bspc.2021.102557 |
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