Abstract
Parameter Weighted Least Squares (PWLS) fitting is a new approach to the linear-in-the-parameter fitting problem. PWLS is appropriate for parameter identification of dynamical systems. Algorithms for direct fitting and recursive fitting of the parameters are presented. A tuning of the fitting algorithm is provided by embracing scalar fitting equations to vector equations of variable dimension and by variable overlapping of the vector equations.
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