A Transmission Rate Estimator & Controller for Infectious Disease SIR Models - Constant Case

被引:0
|
作者
Barbieri, Enrique [1 ]
Tzouanas, Vassilios [2 ]
机构
[1] Univ Houston, Div Technol, Cullen Coll Engn, Houston, TX 77204 USA
[2] Univ Houston Downtown, Comp Sci & Engn Technol Dept, Houston, TX 77002 USA
来源
2023 AMERICAN CONTROL CONFERENCE, ACC | 2023年
关键词
D O I
10.23919/ACC55779.2023.10156022
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:3239 / 3244
页数:6
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