Potentials of constrained sliding mode control as an intervention guide to manage COVID19 spread.

COVID-19 Control Lockdown Pandemic

Journal

Biomedical signal processing and control
ISSN: 1746-8094
Titre abrégé: Biomed Signal Process Control
Pays: England
ID NLM: 101317299

Informations de publication

Date de publication:
May 2021
Historique:
received: 03 09 2020
revised: 18 12 2020
accepted: 07 03 2021
entrez: 17 3 2021
pubmed: 18 3 2021
medline: 18 3 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33727950
doi: 10.1016/j.bspc.2021.102557
pii: S1746-8094(21)00154-3
pmc: PMC7945868
doi:

Types de publication

Journal Article

Langues

eng

Pagination

102557

Informations de copyright

© 2021 Elsevier Ltd. All rights reserved.

Références

Syst Control Lett. 2022 Feb;160:105111
pubmed: 34975181
Annu Rev Control. 2021;51:525-539
pubmed: 33362428
PLoS One. 2021 Jun 2;16(6):e0252827
pubmed: 34077448
Chaos Solitons Fractals. 2020 Nov;140:110166
pubmed: 32834650
Nonlinear Dyn. 2020;101(3):2013-2026
pubmed: 32836807
J R Soc Interface. 2021 May;18(178):20200803
pubmed: 33975462
Chaos Solitons Fractals. 2020 Oct;139:110075
pubmed: 32834618
Bull Math Biol. 2012 Oct;74(10):2403-22
pubmed: 22836868
Chaos Solitons Fractals. 2020 Aug;137:109923
pubmed: 32501375
IEEE Access. 2020 Oct 08;8:188454-188474
pubmed: 34812361
Commun Nonlinear Sci Numer Simul. 2020 Sep;88:105303
pubmed: 32355435
Comput Methods Programs Biomed. 2020 Nov;196:105642
pubmed: 32688137
IEEE Trans Biomed Eng. 2013 Aug;60(8):2113-22
pubmed: 23428611
Biomed Signal Process Control. 2020 Sep;62:102149
pubmed: 32834831
Sci Rep. 2020 Jul 1;10(1):10711
pubmed: 32612204
Nature. 2020 Aug;584(7820):257-261
pubmed: 32512579
Annu Rev Control. 2020;50:417-431
pubmed: 32837241

Auteurs

Sebastián Nuñez (S)

Grupo de Control Aplicado, Instituto LEICI, Facultad de Ingeniería, Universidad Nacional de La Plata - CONICET, Argentina.

Fernando A Inthamoussou (FA)

Grupo de Control Aplicado, Instituto LEICI, Facultad de Ingeniería, Universidad Nacional de La Plata - CONICET, Argentina.

Fernando Valenciaga (F)

Grupo de Control Aplicado, Instituto LEICI, Facultad de Ingeniería, Universidad Nacional de La Plata - CONICET, Argentina.

Hernán De Battista (H)

Grupo de Control Aplicado, Instituto LEICI, Facultad de Ingeniería, Universidad Nacional de La Plata - CONICET, Argentina.

Fabricio Garelli (F)

Grupo de Control Aplicado, Instituto LEICI, Facultad de Ingeniería, Universidad Nacional de La Plata - CONICET, Argentina.

Classifications MeSH