Nonlinear adaptive control of COVID-19 with media campaigns and treatment

Boqiang Cao; Ting Kang

doi:10.1016/j.bbrc.2020.12.105

Nonlinear adaptive control of COVID-19 with media campaigns and treatment

Biochem Biophys Res Commun. 2021 May 28:555:202-209. doi: 10.1016/j.bbrc.2020.12.105. Epub 2021 Jan 9.

Authors

Boqiang Cao¹, Ting Kang²

Affiliations

¹ Xinhua College, Ningxia University, Yinchuan, 750021, China; School of Mathematics, Southeast University, Nanjing, 211189, China. Electronic address: boqiangcao@sina.com.
² Xinhua College, Ningxia University, Yinchuan, 750021, China. Electronic address: nxukangting@163.com.

Abstract

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the infection of severe acute respiratory syndrome coronavirus 2, which is spreading all over the world and causing huge human and economic losses. For these reasons, we study the adaptive control problem of COVID-19 in consideration of media campaigns and treatment in this paper. Firstly, a novel compartment model is constructed by analysing the spread mechanism of COVID-19 and a nonlinear adaptive control problem is established. Then, using the estimation of parameters updated by adaptive laws, the controllers are designed to achieve the control goals. Finally, numerical examples are presented to illustrate the control capability to the outbreak of COVID-19.

Keywords: COVID-19; Lyapunov stability; Media campaigns; Nonlinear adaptive control; Treatment.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

COVID-19 / epidemiology
COVID-19 / prevention & control*
COVID-19 / transmission
COVID-19 Drug Treatment*
Computer Simulation*
Goals
Humans
Mass Media / supply & distribution*
Nonlinear Dynamics*
Time Factors
Uncertainty