Optimal Perturbations of Systems with Delayed Independent Variables for Control of Dynamics of Infectious Diseases Based on Multicomponent Actions

In this paper, we apply optimal perturbations to control mathematical models of infectious diseases expressed as systems nonlinear differential equations with delayed independent variables. We develop the method for calculation initial state a dynamical system variable producing maximal amplification in given local norm taking into account weights perturbation components. For model experimental virus infection, construct two types stationary states, low or high viral load, corresponding different variants chronic infection flow.