An extended state observer based U-model control of the COVID-19

Wei Wei; Bowen Duan; Min Zuo; Quanmin Zhu

doi:10.1016/j.isatra.2021.02.039

An extended state observer based U-model control of the COVID-19

ISA Trans. 2022 May:124:115-123. doi: 10.1016/j.isatra.2021.02.039. Epub 2021 Feb 25.

Authors

Wei Wei¹, Bowen Duan², Min Zuo³, Quanmin Zhu⁴

Affiliations

¹ School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100048, China; School of Automation, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
² School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100048, China.
³ School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100048, China; National Engineering Laboratory for Agri-product Quality Traceability, Beijing Technology and Business University, 100048, Beijing, China. Electronic address: zuomin@btbu.edu.cn.
⁴ Department of Engineering Design and Mathematics, University of the West of England, Bristol, UK.

Abstract

The coronavirus disease 2019 (COVID-19) is a new, rapidly spreading and evolving pandemic around the world. The COVID-19 has seriously affected people's health or even threaten people's life. In order to contain the spread of the pandemic and minimize its impact on economy, the tried-and-true control theory is utilized. Firstly, the control problem is clarified. Then, by combining advantages of the U-model control and the extended state observer (ESO), an extended state observer-based U-model control (ESOUC) is proposed to generate a population restriction policy. Closed-loop stability of the regulation system is also proved Two examples are considered, and numerical simulation results show that the ESOUC can suppress the COVID-19 faster than the linear active disturbance rejection control, which benefits controlling the infectious disease and the economic recovery. The ESOUC may provide a feasible non-pharmaceutical intervention in the control of the COVID-19.

Keywords: Active disturbance rejection control; Closed-loop control; The COVID-19; U-model.

MeSH terms

COVID-19* / epidemiology
COVID-19* / prevention & control
Computer Simulation
Humans
Pandemics / prevention & control
SARS-CoV-2