Weighted estimation and tracking for ARMAX models

For a complex multivariable ARMAX (autoregressive moving-average with exogeneous inputs) model, the author studies the weighted least squares algorithm which improves the usual least squares algorithm by the choice of suitable ponderations. Concerning adaptive tracking problems, both strong consistency of the estimator and control optimality are ensured.<
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