Model validation methods for errors-in-variables estimation

被引：0

作者：

Soderstrom, Torsten ^{[1
]}

Yuz, Juan ^{[2
]}

机构：

[1] Uppsala Univ, Dept Informat Technol, Div Syst & Control, SE-75105 Uppsala, Sweden

[2] Univ Tecn Federico Santa Maria, Dept Elect, Valparaiso, Chile

来源：

2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2013年

关键词：

SYSTEM-IDENTIFICATION;

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：

When identifying a dynamic system the model has to be validated as well. For an errors-in-variables situation where both input and output measurements are noise corrupted, this is a nontrivial task, seldom treated in the literature. Some different approaches for model validation are introduced and evaluated by theoretical analysis as well as application to simulated data.

引用

页码：3882 / 3887

页数：6

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