Modelling of decisions of the stochastic differential equations with markovian switchings

We consider mathematical models of hybrid systems in the form of stochastic differential equations with Markovian switchings and a state-dependent switching component. We propose an extension of Euler, Milshtein, and Taylor schemes for numerical approximation of solutions for such stochastic differential equations. Quality of approximations is experimentally compared in Scilab software for numerical computation.