We consider a discrete-time susceptible-infected-susceptible epidemic model on a network, in which we incorporate two control actions: vaccination of part of the population and implementation of non-pharmaceutical interventions. Then, we formulate the problem of devising an optimal control strategy for the epidemic disease using the two actions, with a tradeoff between public healthcare impact of the disease and social and economic costs associated with interventions. The control problem is solved by leveraging an economic nonlinear model-predictive control scheme, for which we prove the closed-loop stability using a dissipativity argument.
An Economic Nonlinear Model Predictive Control Approach for Mitigating Epidemic Spreading on Networks / Calogero, Lorenzo; Pagone, Michele; Zino, Lorenzo; Rizzo, Alessandro. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno 2025 IEEE 64th Conference on Decision and Control (CDC) tenutosi a Rio de Janeiro (Bra) nel December 9-12, 2025).
An Economic Nonlinear Model Predictive Control Approach for Mitigating Epidemic Spreading on Networks
Calogero, Lorenzo;Pagone, Michele;Zino, Lorenzo;Rizzo, Alessandro
In corso di stampa
Abstract
We consider a discrete-time susceptible-infected-susceptible epidemic model on a network, in which we incorporate two control actions: vaccination of part of the population and implementation of non-pharmaceutical interventions. Then, we formulate the problem of devising an optimal control strategy for the epidemic disease using the two actions, with a tradeoff between public healthcare impact of the disease and social and economic costs associated with interventions. The control problem is solved by leveraging an economic nonlinear model-predictive control scheme, for which we prove the closed-loop stability using a dissipativity argument.File | Dimensione | Formato | |
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CDC 2025 - Economic MPC Epidemics (Postprint).pdf
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https://hdl.handle.net/11583/3002475