New strategy to control covid-19 pandemic using lead/lag compensator

Hadi, Musadaq A. and M. Amean, Zainab ORCID: https://orcid.org/0000-0003-1581-3883 (2021) New strategy to control covid-19 pandemic using lead/lag compensator. Biomedical Signal Processing and Control, 68:102669. pp. 1-7. ISSN 1746-8094


Abstract

COVID-19 is still the main worldwide issue since the outbreak. Many strategies were implemented such as suppression, mitigation, and mathematical-engineering strategies, to control this pandemic. In this work, a lead/ lag compensator is proposed to control an unstable Covid-19 nonlinear system after using some required assumptions. The control theory is involved with the unstable pandemic and other existing strategies until the invention of the vaccine is approved. In addition, the Most Valuable Player Algorithm (MVPA) is used to optimize the parameters of the proposed controller and to determine whether it is a lead or lag compensator. Finally, the simulation results are based on the daily reports of two pandemic cities: Hubei (China), and Lazio (Italy) since the outbreak began. It can be concluded that the lead/lag compensator can effectively control the COVID-19 system.


Statistics for USQ ePrint 43992
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Date Deposited: 25 Oct 2021 23:30
Last Modified: 10 Nov 2021 02:11
Uncontrolled Keywords: lag compensator; lead compensator; COVID-19; nonlinear system; Coronavirus; Most Valuable Player Algorithm
Fields of Research (2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
Fields of Research (2020): 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified
40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400705 Control engineering
Identification Number or DOI: https://doi.org/10.1016/j.bspc.2021.102669
URI: http://eprints.usq.edu.au/id/eprint/43992

Actions (login required)

View Item Archive Repository Staff Only