{"title":"关于时变异质延迟的离散时间网络流行病模型","authors":"Fangzhou Liu;Lei Shi;Jinliang Shao;Qingchen Liu","doi":"10.1109/LCSYS.2024.3463499","DOIUrl":null,"url":null,"abstract":"Delays caused by the incubation period of an infectious disease are inevitable in modeling the spreading of a real epidemic. With this in mind, our note proposes a novel discrete-time networked susceptible-infected-susceptible (SIS) epidemic model with delays. In this model, the independent edge-based time delay in the network is time-varying and heterogeneous. To prove the asymptotic stability of the model, a super-stochastic matrix based method is proposed to analyze the convergence of an infinite product. By using this method, a sufficient algebraic condition for the convergence of the model to the disease-free equilibrium point is established. The theoretical results obtained are verified by numerical simulations.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On a Discrete-Time Networked Epidemic Model With Time-Varying Heterogeneous Delays\",\"authors\":\"Fangzhou Liu;Lei Shi;Jinliang Shao;Qingchen Liu\",\"doi\":\"10.1109/LCSYS.2024.3463499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Delays caused by the incubation period of an infectious disease are inevitable in modeling the spreading of a real epidemic. With this in mind, our note proposes a novel discrete-time networked susceptible-infected-susceptible (SIS) epidemic model with delays. In this model, the independent edge-based time delay in the network is time-varying and heterogeneous. To prove the asymptotic stability of the model, a super-stochastic matrix based method is proposed to analyze the convergence of an infinite product. By using this method, a sufficient algebraic condition for the convergence of the model to the disease-free equilibrium point is established. The theoretical results obtained are verified by numerical simulations.\",\"PeriodicalId\":37235,\"journal\":{\"name\":\"IEEE Control Systems Letters\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Control Systems Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10683698/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Control Systems Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10683698/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
On a Discrete-Time Networked Epidemic Model With Time-Varying Heterogeneous Delays
Delays caused by the incubation period of an infectious disease are inevitable in modeling the spreading of a real epidemic. With this in mind, our note proposes a novel discrete-time networked susceptible-infected-susceptible (SIS) epidemic model with delays. In this model, the independent edge-based time delay in the network is time-varying and heterogeneous. To prove the asymptotic stability of the model, a super-stochastic matrix based method is proposed to analyze the convergence of an infinite product. By using this method, a sufficient algebraic condition for the convergence of the model to the disease-free equilibrium point is established. The theoretical results obtained are verified by numerical simulations.