Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic

被引:9
|
作者
Xu, Conghui [1 ]
Yu, Yongguang [2 ]
Ren, Guojian [2 ]
Sun, Yuqin [3 ]
Si, Xinhui [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Math & Phys, Beijing 100083, Peoples R China
[2] Beijing Jiaotong Univ, Sch Math & Stat, Beijing 100044, Peoples R China
[3] Ordos Inst Technol, Dept Math & Comp Engn, Ordos 017000, Peoples R China
基金
中国国家自然科学基金;
关键词
Fractional; -order; Stability; COVID-19; Optimal control; Parameter identification; FORMULATION;
D O I
10.1016/j.amc.2023.128210
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In view of the spread of corona virus disease 2019 (COVID-19), this paper proposes a fractional-order generalized SEIR model. The non-negativity of the solution of the model is discussed. Based on the established threshold R 0 , the existence of the disease-free equi-librium and endemic equilibrium is analyzed. Then, sufficient conditions are established to ensure the local asymptotic stability of the equilibria. The parameters of the model are identified based on the statistical data of COVID-19 cases. Furthermore, the validity of the model for describing the COVID-19 outbreak is verified. Meanwhile, the accuracy of the rel-evant theoretical results are also verified. Considering the relevant strategies of COVID-19 prevention and control, the fractional optimal control problem (FOCP) is proposed. Numer-ical schemes for Riemann-Liouville (R-L) fractional-order adjoint system with transversal conditions is presented. Based on the relevant statistical data, the corresponding FOCP is numerically solved, and the control effect of the COVID-19 outbreak under the optimal control strategy is discussed.& COPY; 2023 Elsevier Inc. All rights reserved.
引用
收藏
页数:17
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