Method Identification of Complex Nonlinear Dependence

The research results are presented in the publication confirm the possibility of developing quite simple analytical model with the proposed method. The accuracy of the approximation meets the requirements of modern mathematical methods and object-oriented modeling. The developed model by this method can be used for analytical calculation of optimal modes of stochastic non-stationary objects, diagnosis of their condition, interpolation and extrapolation variable object.