文章基本信息

标题：System identification and mathematical modeling of the pandemic spread COVID-19 in Serbia
本地全文：下载
作者：Jasmina Lozanović Šajić ; Sonja Langthaler ; Jörg Schröttner 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：4
页码：19-24
DOI：10.1016/j.ifacol.2022.06.003
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents applications of control system theory in biomedical engineering. These methodologies are used in engineering sciences to obtain a mathematical model of systems, but system identification as scientific methodology is rarely used in biomedical engineering. The paper presents exemplarily control theory and system identification as methods for obtaining a mathematical model of the spread SARS-CoV-2 virus. The models obtained in the course of this are data-driven and strongly data-dependent. The available dataset allowed us to consider a model of a pandemic spread in the context of both the number of tested individuals and the number of infected individuals and with a resultant model that is nonlinear. We also considered a mathematical model for the dependence between the number of confirmed infected individuals and the number of deaths caused by the disease. The resulting model is linear given with the transfer function corresponding to the second-order differential equation. The mathematical models developed were additionally analyzed in accordance with controllability and observability.
关键词：Keywordsbiomedical engineeringsystem identificationmathematical modelcovid-19