An observer-based approach to modeling error identification

被引：0

作者：

Yuan, ZG ^{[1
]}

Vangheluwe, H ^{[1
]}

Vansteenkiste, GC ^{[1
]}

机构：

[1] State Univ Ghent, Dept Appl Math Biometr & Proc Control, B-9000 Ghent, Belgium

来源：

TRANSACTIONS OF THE SOCIETY FOR COMPUTER SIMULATION INTERNATIONAL | 1998年 / 15卷 / 01期

关键词：

model validation; modeling error identification; observer;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Information about the location of modeling errors is crucial for the efficient improvement of an invalid model. This article discusses how to pinpoint modeling errors through comparison of experimental data with data obtained through the simulation of the invalid model. An observer-based approach is developed. By designing a dedicated observer for the system using the invalid model, a signal vector is generated, on which each modeling error imposed an easily identifiable feature. An algorithm to analyze the featured signal is then developed. With this algorithm, the features of each of the modeling errors are extracted. To illustrate and verify the developed approach, a simulation study of a biological model is performed and promising results are obtained.

引用

页码：20 / 33

页数：14

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