Method of structural parametric identification of time series system

Method of structural parametric identification of relative time series system is described. The method based on procedure of adaptive dynamic regression modeling, providing at construction of mathematical models of time series consecutive adaptation of model to possible infringements of the basic assumptions of regression analysis. Thus constructed model of time series system is adequate to a real situation and allows predicting a process condition with greater exactness