Formation and modeling of stochastic trajectories of multidimensional dynamic systems with assigned properties

Abstract

The paper considers the method of forming the stochastic trajectories of multidimensional dynamical systems with desired properties. Projections phase variables on the coordinate axis of the n-dimensional hyperspace representing systems of stochastic differential equations. The proposed method allows to solve optimization problems binding parameters of stochastic trajectory with its average length and time of its passage.