Gradient computation in prediction error identification of linear discrete-time systems

A dynamic programming formulation is used to derive efficient expressions for the gradient of the identification criterion with respect to the parameters of a linear time-invariant system. These expressions reduce the computational costs of the parameter optimization step in prediction error identification.