A Supervised Multi-control for Monitoring the Antiviral Treatment Strategy for an SEIADR Epidemic Model
作者： Raul Nistal , Manuel de la Sen , Santiago Alonso-Quesada , Asier Ibeas
DOI: 10.1109/CODIT.2018.8394913
关键词:
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 study different uses a supervisory cost function being applied to parallel multi-control strategy. Two strategies are proposed for on-line adjustment control gains antiviral treatment vaccination action. The functions eventually include weighted infection penalties have high definition freedom designer. Some simulation examples developed in order compare efficiency against use unsupervised controls.
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