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 interventions and population confinement to control the COVID-19 pandemic. SMRC technique allows robustly delimiting a given variable in dynamical systems. In particular...
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Autores principales: | , , , , |
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Formato: | Articulo Preprint |
Lenguaje: | Inglés |
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2020
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/124907 |
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I19-R120-10915-124907 |
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institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
collection |
SEDICI (UNLP) |
language |
Inglés |
topic |
Ingeniería Ingeniería Electrónica COVID-19 Pandemic Lockdown Control |
spellingShingle |
Ingeniería Ingeniería Electrónica COVID-19 Pandemic Lockdown Control Nuñez, Sebastián Inthamoussou, Fernando Ariel Valenciaga, Fernando De Battista, Hernán Garelli, Fabricio Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread |
topic_facet |
Ingeniería Ingeniería Electrónica COVID-19 Pandemic Lockdown Control |
description |
This work evaluates the potential of using sliding mode reference conditioning (SMRC) techniques as a guide for non-pharmaceutical interventions and population confinement to control the COVID-19 pandemic. SMRC technique allows robustly delimiting a given variable in dynamical systems. In particular, for the epidemiological problem addressed here, it can be used to compute day by day the contact rate reduction requirement in order to limit the intense care units occupancy to a given threshold. What is more, it could impose a given approaching rate to the health care system limits. Simulations are performed using the well-known SEIR model fitted to the Argentinian case to demonstrate what this control strategy suggests, while the effect of realistic period transitions between different confinement levels are also considered. |
format |
Articulo Preprint |
author |
Nuñez, Sebastián Inthamoussou, Fernando Ariel Valenciaga, Fernando De Battista, Hernán Garelli, Fabricio |
author_facet |
Nuñez, Sebastián Inthamoussou, Fernando Ariel Valenciaga, Fernando De Battista, Hernán Garelli, Fabricio |
author_sort |
Nuñez, Sebastián |
title |
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_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_sort |
potentials of constrained sliding mode control as an intervention guide to manage covid19 spread |
publishDate |
2020 |
url |
http://sedici.unlp.edu.ar/handle/10915/124907 |
work_keys_str_mv |
AT nunezsebastian potentialsofconstrainedslidingmodecontrolasaninterventionguidetomanagecovid19spread AT inthamoussoufernandoariel potentialsofconstrainedslidingmodecontrolasaninterventionguidetomanagecovid19spread AT valenciagafernando potentialsofconstrainedslidingmodecontrolasaninterventionguidetomanagecovid19spread AT debattistahernan potentialsofconstrainedslidingmodecontrolasaninterventionguidetomanagecovid19spread AT garellifabricio potentialsofconstrainedslidingmodecontrolasaninterventionguidetomanagecovid19spread |
bdutipo_str |
Repositorios |
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