Mathematical modeling represents a useful instrument to study the evolution of an epidemic spread and to determine the best control strategy to reduce the number of infected subjects. The computation of the singular solution for a SIR epidemic system with vaccination control is performed; a constructive algorithm for the computation of a bang-singular-bang optimal solution is proposed and, for the specific choice of the parameters typical for a SIR model, the two switching instants, as well as the singular profile, are determined. Numerical simulations are reported to show the results of the described procedure.

Optimal Control with Singular Solution for SIR Epidemic Systems / Di Giamberardino, Paolo; Iacoviello, Daniela. - (2018), pp. 909-914. (Intervento presentato al convegno 26th Mediterranean Conference on Control and Automation, MED 2018 tenutosi a Zadar; Croazia) [10.1109/MED.2018.8442937].

Optimal Control with Singular Solution for SIR Epidemic Systems

Di Giamberardino, Paolo
;
Iacoviello, Daniela
2018

Abstract

Mathematical modeling represents a useful instrument to study the evolution of an epidemic spread and to determine the best control strategy to reduce the number of infected subjects. The computation of the singular solution for a SIR epidemic system with vaccination control is performed; a constructive algorithm for the computation of a bang-singular-bang optimal solution is proposed and, for the specific choice of the parameters typical for a SIR model, the two switching instants, as well as the singular profile, are determined. Numerical simulations are reported to show the results of the described procedure.
2018
26th Mediterranean Conference on Control and Automation, MED 2018
Artificial Intelligence; Control and Systems Engineering; Mechanical Engineering; Control and Optimization
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Optimal Control with Singular Solution for SIR Epidemic Systems / Di Giamberardino, Paolo; Iacoviello, Daniela. - (2018), pp. 909-914. (Intervento presentato al convegno 26th Mediterranean Conference on Control and Automation, MED 2018 tenutosi a Zadar; Croazia) [10.1109/MED.2018.8442937].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1179611
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