Errors-in-variables identification of dynamic systems in general cases

被引：4

作者：

Zhang, E. ^{[1
]}

Pintelon, R. ^{[2
]}

机构：

[1] Zhengzhou Univ, Dept Mech Engn, Sci Rd 100, Zhengzhou 450052, Peoples R China

[2] Vrije Univ Brussel, Dept ELEC, Pl Laan 2, B-1050 Brussels, Belgium

来源：

IFAC PAPERSONLINE | 2015年 / 48卷 / 28期

关键词：

System identification; errors-in-variables; frequency domain; identifiability; nonminimum phase systems; unstable system;

D O I：

10.1016/j.ifacol.2015.12.145

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 the identification of dynamic systems from noisy input-output observations where the noise free input is not parameterized. By extending the previous work Zhang et al. (2013), the present work aims to treat, the errors in-variable identification in more general cases, including correlated input-output noises, nonminimum phase or unstable linear dynamic system. It is shown by simulated examples that consistent identification can be obtained for the parameters of the plant model and the covariance II matrix of the input-output noises in these unconventional setups. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：309 / 313

页数：5

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