PARAMETRIC IDENTIFICATION OF THE MULTI-DIMENSIONAL NON-LINEAR STATIONARY DYNAMIC SYSTEM IN THE PRESENCE OF NOISE IN OUTPUT SIGNALS
The article deals with parametric identification of multi-dimensional in input and output non-linear difference equations with the noise in output signals. This is a modification of the standard least square method to recover unknown parameters without substantial increase in a priori information. The modified non-linear least square method is to validate parameter matrices of the non-linear difference equation.