Identification of low-order models using Laguerre basis function expansions

A1 Journal article (refereed)


Internal Authors/Editors


Publication Details

List of Authors: Mikael Manngård, Hannu T. Toivonen
Publisher: Elsevier
Publication year: 2018
Journal: IFAC papers online
Volume number: 51
Issue number: 15
Start page: 72
End page: 77
eISSN: 2405-8963


Abstract

In this paper, a method for identification of low-order output-error
models expressed in terms of Laguerre basis functions is presented. The
identification problem is formulated as a rank-constrained optimization
problem in the Laguerre domain, which can be solved efficiently using
nuclear norm regularization. Since the identified models are of low
order, a minimal state-space realization of the system can be obtained
without the use of additional approximative model-order reduction steps.


Keywords

System Identification

Last updated on 2019-21-10 at 02:43