Identification of a linear parameter varying system based on Meixner-like model - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Transactions of the Institute of Measurement and Control Année : 2018

Identification of a linear parameter varying system based on Meixner-like model

Résumé

In this article, the Meixner-like model is used to represent the linear discrete-time system in comparison with the Laguerre model. Furthermore, we propose from input/output measurements a new recursive representation of the Meixner-like model. However, a significant approximation of this model is subject to an optimal choice of Meixner-like parameters: pole, order of generalization and Fourier coefficients. The present research yields a series of computational experiments, through a simulation example of a linear parameter varying (LPV) system. This study tests this approach, verifies the theoretical results and points out the positive outcomes of using the Meixner-like model in comparison with the Laguerre model.
Fichier non déposé

Dates et versions

hal-01356916 , version 1 (26-08-2016)

Identifiants

Citer

Safa Maraoui, Kais Bouzrara, José Ragot. Identification of a linear parameter varying system based on Meixner-like model. Transactions of the Institute of Measurement and Control, 2018, 40 (2), pp.657-665. ⟨10.1177/0142331216663825⟩. ⟨hal-01356916⟩
79 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More