Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Publications Internationales >
Veuillez utiliser cette adresse pour citer ce document :
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/355
|
Titre: | Extending the SRIV algorithm to LMFD models |
Auteur(s): | Akroum, Mohamed Hariche, Kamel |
Mots-clés: | MIMO system identification SRIV LMFD IV4 Steiglitz-McBride |
Date de publication: | 2009 |
Collection/Numéro: | Journal of electrical engineering & technology/ Vol.4, N°1 (2009);pp. 135-142 |
Résumé: | In this paper the Simplified Refined Instrumental Variable (SRIV) identification algorithm for SISO systems is extended to MIMO systems described by a Left Matrix Fraction Description (LMFD). The performance of the extended algorithm is compared to the well-known MIMO four-step instrumental variable (IV4) algorithm. Monte Carlo simulations for different signal to noise ratios are conducted to assess the performance of the algorithm. Moreover, the algorithm is applied to a simulated quadruple tank process |
URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/jspui/handle/123456789/355 |
Collection(s) : | Publications Internationales
|
Fichier(s) constituant ce document :
|
Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.
|