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Abstract
The propagation of epidemic COVID-19 is a critical subject that can be addressed in the field of science and systems control. Adopting the fractional-order model to represent the behavior of this infectious disease provides a more accurate framework to implement an efficient controller. As for obtaining a control strategy to tackle the problem, a novel fractional-order feedback linearization is proposed in this paper. Investigating the situation by counting the number of endangered people, as the output of the model, and giving feedback to the system input, the control policy is obtained to decrease the number of exposed and infected individuals. In this paper, the feedback linearization method is proposed to provide the government to tackle the problem with a robust control policy as non-pharmaceutical interventions (NPI). To evaluate the suggested methodology, the open-loop controller is compared with the closed-loop controller.