ANALYTICAL MODELING INVARIANT MEASURE DISTRIBUTIONS IN STOCHASTIC SYSTEMS WITH AUTOCORRELATED NOISES
For multidimensional nonlinear normal (Gaussian) differential systems with un- and autocorrelated noises, on the basis of normal approximation, the correlational algorithms for analytical modeling of stochastic regimes with invariant measure are considered. Special software tools in MATLAB are developed. Test examples confirm practical accuracy.