2011 |
Chetoui, M.; Malti, R.; Thomassin, M.; Aoun, M.; Najar, S.; Abdelkrim, M. N. 2011, (Cited by: 3). Résumé | Liens | BibTeX | Étiquettes: Continuous time systems, Cumulants, Errors in variables, Fractional derivatives, Fractional SVF, High order statistics, Identification (control systems), Indium compounds, Least squares approximations, Numerical methods, Religious buildings, Signal to noise ratio @conference{Chetoui2011b, This paper deals with continuous-time system identification using fractional models in a noisy input/output context. The third-order cumulants based least squares method (tocls) is extended here to fractional models. The derivatives of the third-order cumulants are computed using a new fractional state variable filter. A numerical example is used to demonstrate the performance of the proposed method called ftocls (fractional third-order cumulants based least squares). The effect of the signal-to-noise ratio and the hyperparameter is studied. © 2011 IEEE. |
Publications
2011 |
2011, (Cited by: 3). |