Maximum likelihood gradient based identification algorithm for output error systems with colored noises

This paper considers the parameter estimation problems of output error autoregressive (OEAR) systems based on the maximum likelihood principle and the gradient search principle. A maximum likelihood forgetting factor stochastic gradient algorithm and a maximum likelihood iterative gradient identification algorithm are developed. The simulation results show that the proposed algorithms can effectively estimate the parameters of the OEAR systems.