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作者机构:Univ Technol Baghdad Baghdad Iraq Univ Southern Queensland Toowoomba Qld Australia
出 版 物:《BIOMEDICAL SIGNAL PROCESSING AND CONTROL》 (生物医学信号处理与控制)
年 卷 期:2021年第68卷第0期
页 面:102669-102669页
核心收录:
学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 10[医学]
基 金:This research did not receive any specific grant from funding agencies in the public commercial or not-for-profit sectors
主 题:Lag compensator Lead compensator COVID-19 Nonlinear system Coronavirus Most Valuable Player Algorithm
摘 要: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.