A Supervised Multi-control for Monitoring the Antiviral Treatment Strategy for an SEIADR Epidemic Model

摘要

We discuss the positivity and stability of an SEIADR (susceptible-exposed-symptomatic infectious-asymptomatic infectious-dead lying bodies-recovered by immunity) Ebola-type epidemic model and study different uses of a supervisory cost function being applied to a parallel multi-control strategy. Two supervisory strategies are proposed for on-line adjustment of the control gains of antiviral treatment and vaccination action. The cost functions eventually include weighted infection and vaccination treatment penalties and have a high definition freedom for the designer. Some simulation examples are developed in order to compare the efficiency against the use of unsupervised controls.