A FUZZY-BASED STRATEGY TO SUPPRESS THE NOVEL CORONAVIRUS (2019-NCOV) MASSIVE OUTBREAK

ABSTRACT

Firstly, in the present study, classical and fractional variants modeling of the new coronavirus disease transmission are numerically investigated. Afterward, to shape robust and effective policies for preventing the massive outbreak, a fuzzy-based sliding mode control technique is designed. The contact rate is considered as governmental control action, and a robust and effective policy is proposed while its stability and convergence are proven. The numerical simulations of the proposed scenario for two different conditions are demonstrated. It is confirmed through numerical simulation that it is possible to reduce the total number of infected and exposed cases, respectively, to less than 2% and 0.5% Also, the performance of the offered technique with and without the fuzzy logic engine is investigated. This way, it is conspicuously shown that the proposed technique is able to effectively prevent a massive outbreak and keep the 2019-nCov spread in check.