عنوان مقاله :
Optimal Robust LPV Control Design for Novel Covid-19 Disease
پديد آورندگان :
Najarzadeh ، reza Shiraz University - School of Electrical and Computer Engineering , dehghani ، maryam Shiraz University - School of Electrical and Computer Engineering , asemani ، mohammad hassan Shiraz University - School of Electrical and Computer Engineering , abolpour ، roozbeh Shiraz University - School of Electrical and Computer Engineering
كليدواژه :
Covid , 19 , mathematical model , robust controller , intervention strategies , LMI , uncertainties ,
چكيده فارسي :
These days almost all countries around the world are struggling with coronavirus outbreak. If the governments and public health care systems donchr( 39 )t take any action against this outbreak, it would have severe effects on human life, now and in the future. By doing so, there are several intervention strategies that could be implemented and as the result, the societies become more secure from the casualties of this virus. In this paper, we used a mathematical model of coronavirus epidemic transmission and by use of some LMIs, a robust LPV controller is designed which helps us to choose and use the intervention methods, effectively. By use of the proposed robust controller, the robustness and stability of the model against a wide range of uncertainties are approved. The final objective of this control design is to minimize the number of exposed and infected individuals in the compartmental model. In the end, it can be seen that the control strategies which are preventive action, good medical care, and sterilization of the environment, can highly reduce the negative effects of the coronavirus.
