Identification of low-order models using Laguerre basis function expansions

A1 Originalartikel i en vetenskaplig tidskrift (referentgranskad)


Interna författare/redaktörer


Publikationens författare: Mikael Manngård, Hannu T. Toivonen
Förläggare: Elsevier
Publiceringsår: 2018
Tidskrift: IFAC papers online
Volym: 51
Nummer: 15
Artikelns första sida, sidnummer: 72
Artikelns sista sida, sidnummer: 77
eISSN: 2405-8963


Abstrakt

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.


Nyckelord

System Identification

Senast uppdaterad 2019-13-11 vid 03:18