Third order cumulants based method for continuous-time errors-in-variables system identification by fractional models

Abstract : 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.
Type de document :
Communication dans un congrès
8th International Conference on Systems, Signals & Devices, SSD'11, Mar 2011, Sousse, Tunisia. pp.CDROM, 2011, 〈10.1109/SSD.2011.5767441〉
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https://hal.archives-ouvertes.fr/hal-00668346
Contributeur : Valérie Abel <>
Soumis le : jeudi 9 février 2012 - 16:18:12
Dernière modification le : lundi 11 mars 2019 - 12:42:02

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Manel Chetoui, Rachid Malti, Magalie Thomassin, Mohamed Aoun, Slaheddine Najar, et al.. Third order cumulants based method for continuous-time errors-in-variables system identification by fractional models. 8th International Conference on Systems, Signals & Devices, SSD'11, Mar 2011, Sousse, Tunisia. pp.CDROM, 2011, 〈10.1109/SSD.2011.5767441〉. 〈hal-00668346〉

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