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SIR-PID: A Proportional-Integral-Derivative Controller for COVID-19 Outbreak Containment | |
Aldo Ianni Nicola Rossi | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
https://doi.org/10.1101/2020.05.30.20117556 | |
https://www.medrxiv.org/content/10.1101/2020.05.30.20117556v1 | |
Ongoing social restrictions, as distancing and lockdown, adopted by many countries for contrasting the COVID-19 epidemic spread, try to find a trade-off between induced economic crisis, healthcare system collapse and costs in terms of human lives. Applying and removing restrictions on a system with uncontrollable inertia, as represented by an epidemic outbreak, may create critical instabilities, overshoots and strong oscillations of infected people around the desirable set-point, defined as the maximum number of hospitalizations acceptable by a given healthcare system. A good understanding of the system reaction to a change of the input control variable can be reasonably achieved using a proportional-integral-derivative controller, widely used in technological applications. In this paper we make use of this basic control theory for understanding the reaction of COVID-19 propagation to social restrictions and for exploiting a very known technology to reduce the epidemic damages through the correct tuning of the containment policy. | |
bioRxiv | |
03-06-2020 | |
Preimpreso | |
Inglés | |
Público en general | |
VIRUS RESPIRATORIOS | |
Versión publicada | |
publishedVersion - Versión publicada | |
Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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SIR-PID A Proportional-Integral-Derivative Controller for COVID-19 Outbreak Containment.pdf | 476.52 kB | Adobe PDF | Visualizar/Abrir |