Fourth-order cumulants based method for continuous-time EIV fractional model identification - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Fourth-order cumulants based method for continuous-time EIV fractional model identification

Manel Chetoui
  • Fonction : Auteur
  • PersonId : 764511
  • IdRef : 178168610
Slaheddine Najar
  • Fonction : Auteur
  • PersonId : 942949
Mohamed Aoun
  • Fonction : Auteur
  • PersonId : 942948
Naceur Abdelkrim
  • Fonction : Auteur
  • PersonId : 865626
Alain Oustaloup
  • Fonction : Auteur
  • PersonId : 854156

Résumé

The errors-in-variables (EIV) system identification problem concerns the dynamic systems whose discrete input and output are corrupted by additive noises, that can be white, colored and/or mutually correlated. In this paper, a new estimator based on Higher-Order Statistics (fourth-order cumulants) is proposed for continuous-time system identification with fractional models. Under some assumptions on the distributional properties of the noise and noisefree signals, the fractional fourth-order cumulants based least squares (ffocls) estimator gives consistent results. A numerical example illustrates the performance of the proposed method.
Fichier non déposé

Dates et versions

hal-00869313 , version 1 (02-10-2013)

Identifiants

Citer

Manel Chetoui, Rachid Malti, Magalie Thomassin, Slaheddine Najar, Mohamed Aoun, et al.. Fourth-order cumulants based method for continuous-time EIV fractional model identification. 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013, Mar 2013, Hammamet, Tunisia. pp.CDROM, ⟨10.1109/SSD.2013.6564119⟩. ⟨hal-00869313⟩
170 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More