文章基本信息

标题：Fast transient optimization of social distancing during Covid-19 pandemics using extremum seeking
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作者：Laurent Dewasme ; Alain Vande Wouwer
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：15
页码：145-150
DOI：10.1016/j.ifacol.2021.10.246
语种：English
出版社：Elsevier
摘要：AbstractIn this work, the application of a model-free extremum seeking strategy is investigated to achieve the hypothetical control of the covid-19 pandemics by acting on social distancing. The advantage of this procedure is that it does not rely on the accurate knowledge of an epidemiological model and takes realistic constraints into account, such as hospital capacities. The simulation study reveals that the convergence has two time scales, with a fast catch of the transient optimum of the measurable cost function, followed by a slow tracking of this optimum following the original SIR dynamics. Several issues are discussed such as quantization of the sanitary measures.
关键词：Keywordsreal-time optimizationextremum seekingcovid-19 oubreakSIR modeling