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• A new topic (COVID-19 pandemic) has been introduced in the literature of control theory. In addition, a new strategy (lead/lag compensator) been applied to the COVID-19 nonlinear. • The data of the paper are valid for a certain period of time and the controller could be applied to the same system with different data. • The stability of the system has been achieved and the system performance has been improved. Moreover, the parameters of the proposed controller have been optimized using new method called the Most Valuable Player Algorithm (MVPA). 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. [ABSTRACT FROM AUTHOR]

• A new topic (COVID-19 epidemic) has been introduced in the literature of control theory. In addition, a new robust control algorithm has been applied to the COVID-19 nonlinear system after making some assumptions. • The data of the paper are valid for a certain period of time and the controller could be applied to the same system with different data. • The stability of the system has been achieved using Lyapunov stability analysis and the system performance has been improved much better. Moreover, the parameters of the proposed controller have been optimized using new optimization method called the Most Valuable Player Algorithm (MVPA). The MVPA has introduced for the first time to the literature of control theory. COVID-19 has been a worldwide concern since the outbreak. Many strategies have been involved such as suppression and mitigation strategies to deal with this epidemic. In this paper, a new mathematical-engineering strategy is introduced in order to control the COVID-19 epidemic. Thereby, control theory is involved in controlling the unstable epidemic alongside with the other suggested strategies until the vaccine will hopefully be invented as soon as possible. A new robust control algorithm is introduced to compensate the COVID-19 nonlinear system by propose a proper controller after using necessary assumptions and analysis are made. In addition, the Variable Transformation Technique (VTT) is used to simplify the COVID-19 system. Furthermore, the Most Valuable Player Algorithm (MVPA) is applied in order to optimize the parameters of the proposed controller. The simulation results are based on the daily reports of two cities Hubei (China) and Lazio (Italy) since the outbreak. It can be concluded that the proposed control algorithm can effectively compensate the COVID-19 system. In addition, it can be considered as an effective mathematical-engineering strategy to control this epidemic alongside with the other strategies. [ABSTRACT FROM AUTHOR]