Controlling the dynamics of a COVID‐19 mathematical model using a parameter switching algorithm

In this paper the dynamics of an autonomous mathematical models COVID-19 depending on a real parameter bifurcation, is controlled by switching periodically value. For purpose Parameter Switching (PS) algorithm used. With technique, it proved that every attractor considered system can be numerically approximated and, therefore, determined to evolve along, e.g., stable periodic motion or chaotic attractor. way, as chaos control anticontrol (chaoticization)-like algorithm. Contrarily existing techniques which generate modified attractors, obtained attractors with PS belong set attractors. It analytically shown using algorithm, expressed convex combination some Moreover, viewed generalization Parrondo\textsc{\char13}s paradox.