文章基本信息

标题：Identification of low-order models using Laguerre basis function expansions ⁎
本地全文：下载
作者：Mikael Manngård ; Hannu T. Toivonen
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：15
页码：72-77
DOI：10.1016/j.ifacol.2018.09.093
语种：English
出版社：Elsevier
摘要：AbstractIn 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.
关键词：KeywordsSystem identificationLaguerre basisnuclear norm regularization