Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2255
Title: Model based on the reinitialised partial moments for initialising output-error identification methods
Authors: Ouvrard, Regis
Tohme, Elie Toni
Poinot, Thierry
Abche, Antoine 
Affiliations: Department of Electrical Engineering 
Issue Date: 2008
Part of: Journal of IET control theory and applications
Volume: 4
Issue: 9
Start page: 1725
End page: 1738
Abstract: 
The present study addresses the initialisation problem of output-error (OE) identification methods. The challenge is to find a suitable initialization, which brings about a convergence towards the global optimum. A common way to initialise OE methods is to use the ARX model, but it must be used cautiously. The purpose of this study is to describe an alternative method based on the reinitialised partial moment (the RPM model) and to compare this approach with the ARX model by analysing the bias. The RPM model property is an implicit embedded filter that substitutes the explicit data filter required by the ARX model.
URI: https://scholarhub.balamand.edu.lb/handle/uob/2255
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Electrical Engineering

Show full item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.