Journal
ISA TRANSACTIONS
Volume 124, Issue -, Pages 115-123Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2021.02.039
Keywords
The COVID-19; Closed-loop control; U-model; Active disturbance rejection control
Categories
Funding
- National Natural Science Foundation of China [61873005, 61403006]
- Key Program of Beijing Municipal Education Commission [KZ201810011012]
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This study proposes an extended state observer-based U-model control (ESOUC) method to generate population restriction policies for faster suppression of COVID-19 transmission and facilitating economic recovery.
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. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.
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