Application of a recursive estimation algorithm with information-dependent updating to ARMAX models with ARMA models with unknown inputs

A new recursive estimation algorithm which has been used for the parameter estimation of ARX models is extended to the more general ARMAX case. Sufficient conditions for the convergence of the algorithm are derived. Simulation results show that consistent parameter estimates are obtained for a large range of model parameters.