传染病SIR模型的传播速率估计器和控制器-恒定情况

E. Barbieri, Vassilios Tzouanas
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引用次数: 1

摘要

一个广泛研究的易感S(t),感染性I(t)和去除R(t) (SIR)家族的直接传播传染病的确定性,集中参数模型被认为是估计传播率假设分段常数通过线性,扩展状态观测器。因此,尽管传播速率不是传统意义上的控制信号,但反馈控制设计的应用为实施抑制疾病传播的缓解措施提供了指导。离线观测器设计采用每个测点的线性化模型,传输速率作为一个未知但恒定的扰动。离散时间下基于观测器的控制器仿真探讨了公共卫生和政府组织可能实施的启发式策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Transmission Rate Estimator & Controller for Infectious Disease SIR Models - Constant Case
A widely studied susceptible S(t), infectious I(t), and removed R(t) (SIR) family of deterministic, lumped-parameter models of directly transmitted infectious diseases is considered to estimate the transmission rate assumed to be piecewise constant via a linear, extended-state observer. Then, although the transmission rate is not a control signal in the traditional sense, the application of feedback control design offers guidance in implementing mitigating actions that curb the disease spread. A linearized model at each measurement point is used for offline observer design with the transmission rate treated as an unknown but constant disturbance. The observer-based controller simulations in discrete time explore heuristic policies that may be implemented by public health and government organizations.
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