A finite-data-window least squares algorithm with a forgetting factor for dynamical modeling

摘要

In this paper, we extend the forgetting factor least squares and finite-data-window least squares identification algorithms, develop a finite-data-window least squares algorithm with a forgetting factor for dynamical system modeling, derive its recursive version, and also give its simplified form. We illustrate the advantages of the proposed algorithm with simulation examples.