Identification of stochastic linear dynamic systems

Abstract

Using a new form of representation, a set of equations has been derived for the maximum likelihood identification of linear dynamic systems. These equations are shown to be directly related to the filtering and smoothing equations for linear dynamic systems. Numerical results are obtained for a fourth order system using Davidon's Conjugate Gradient Method which also gives the variances of the estimates.