Model order identification for fractional models

被引：0

作者：

Victor, Stephane ^{[1
]}

Malti, Rachid ^{[1
]}

机构：

[1] Univ Bordeaux, IMS, CNRS, UMR 5218, F-33405 Talence, France

来源：

2013 EUROPEAN CONTROL CONFERENCE (ECC) | 2013年

关键词：

INSTRUMENTAL VARIABLE METHODS; TIME-SERIES ANALYSIS; STATE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper deals with continuous-time system identification using fractional differentiation models. So far, no algorithm exists concerning model order identification of fractional models. The "simplified" refined instrumental variable method is proposed to estimate parameters of fractional differential equation models when all the fractional orders are assumed known. Then an optimization approach based on this instrumental variable estimator is presented. This two-stage algorithm, called oosrivcf is then used for model order identification by using simultaneously two criteria: the Young Information Criterion (YIC) and the R-T(2) criterion.

引用

页码：3470 / 3475

页数：6

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