关于时变异质延迟的离散时间网络流行病模型

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS
Fangzhou Liu;Lei Shi;Jinliang Shao;Qingchen Liu
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引用次数: 0

摘要

在模拟真实的流行病传播过程中,传染病潜伏期造成的延迟是不可避免的。有鉴于此,我们的论文提出了一种新颖的带延迟的离散时间网络易感-感染-易感(SIS)流行病模型。在该模型中,网络中基于边缘的独立时间延迟是时变和异质的。为了证明该模型的渐进稳定性,提出了一种基于超随机矩阵的方法来分析无限乘积的收敛性。利用这种方法,建立了模型收敛到无病平衡点的充分代数条件。数值模拟验证了所获得的理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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