R. Nistal, M. de La Sen, S. Alonso-Quesada, A. Ibeas
{"title":"Supervised Multi-Control Strategies for an SEIADR Epidemic Model","authors":"R. Nistal, M. de La Sen, S. Alonso-Quesada, A. Ibeas","doi":"10.1109/CONTROL.2018.8516897","DOIUrl":null,"url":null,"abstract":"We discuss the use of a supervisory cost function being applied to a parallel multi-control strategy on an SEIADR (susceptible-exposed-symptomatic infectious- asymptomatic infectious-dead lying bodies-recovered by immunity) Ebola-type epidemic model. Two supervisory strategies are proposed for on-line adjustment of the control gains of vaccination, treatment and corpses removal actions. The cost functions eventually include weighted infection and vaccination treatment penalties and have a high definition freedom for the designer. Some simulations examples are developed in order to compare the efficiency against the use of unsupervised controls.","PeriodicalId":266112,"journal":{"name":"2018 UKACC 12th International Conference on Control (CONTROL)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 UKACC 12th International Conference on Control (CONTROL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONTROL.2018.8516897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We discuss the use of a supervisory cost function being applied to a parallel multi-control strategy on an SEIADR (susceptible-exposed-symptomatic infectious- asymptomatic infectious-dead lying bodies-recovered by immunity) Ebola-type epidemic model. Two supervisory strategies are proposed for on-line adjustment of the control gains of vaccination, treatment and corpses removal actions. The cost functions eventually include weighted infection and vaccination treatment penalties and have a high definition freedom for the designer. Some simulations examples are developed in order to compare the efficiency against the use of unsupervised controls.