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Toward More Realistic Social Distancing Policies via Advanced Feedback Control

Join, Cédric
•
dâ Onofrio, Alberto
•
Fliess, Michel
2022
  • journal article

Periodico
AUTOMATION
Abstract
A continuously time-varying transmission rate is suggested by many control-theoretic investigations on non-pharmaceutical interventions for mitigating the COVID-19 pandemic. However, such a continuously varying rate is impossible to implement in any human society. Here, we significantly extend a preliminary work (M. Fliess, C. Join, A. d’Onofrio, Feedback control of social distancing for COVID-19 via elementary formulae, MATHMOD, Vienna, 2022), based on the combination of flatness-based and model-free controls with respect to the classic parsimonious SIR model. Indeed, to take into account severe uncertainties and perturbations, we propose a feedback control where the transmission rate, i.e., the control variable, is piecewise constant. More precisely, the transmission rate remains constant during an appreciable time interval, which is not too large. Strict extended lockdowns may therefore be avoided. The poor knowledge of fundamental quantities such as the rate of infection hinders a precise calibration of the transmission rate. Thus, the results of our approach ought therefore not to be regarded as rules of action to follow accurately but as a guideline for a wise behaviour.
DOI
10.3390/automation3020015
WOS
WOS:001204294100001
Archivio
https://hdl.handle.net/11368/3029096
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85148982544
https://www.mdpi.com/2504-3110/6/7/390
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/3029096/1/automation-03-00015-v2.pdf
Soggetti
  • biomedical control

  • behavioral epidemiolo...

  • COVID-19

  • social distancing

  • SIR model

  • flatness-based contro...

  • model-free control

  • robustness

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