Instrumental variable based methods for continuous-time linear parameter varying system identification with fractional models

被引：0

作者：

Salem, Thouraya ^{[1
]}

Chetoui, Manel ^{[1
]}

Aoun, Mohamed ^{[1
]}

机构：

[1] Univ Gabes, Natl Engn Sch Gabes, Res Unit Modeling Anal & Control Syst MACS, 06-UR-11-12, Zrig Eddakhlania, Tunisia

来源：

2016 24TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED) | 2016年

关键词：

system identification; fractional differentiation; continuous-time; LPV system; instrumental variables;

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 linear parameter varying (LPV) system identification with fractional models. Two variants of instrumental variables based techniques are proposed to estimate continuous-time parameters of a fractional differential equation linear parameter varying model when all fractional orders are assumed known a priori: the first one is the instrumental variables estimator based in an auxiliary model. The second one is the simplified refined instrumental variables estimator. A comparison study between the developed estimators is done via a numerical example. A Monte Carlo simulation analysis results are presented to illustrate the performances of the proposed methods in the presence of an additive output noise.

引用

页码：640 / 645

页数：6