Optimal experiment design

被引：127

作者：

Emery, AF ^{[1
]}

Nenarokomov, AV

机构：

[1] Univ Washington, Seattle, WA 98195 USA

[2] Moscow Inst Aviat Technol, Dept Space Syst Engn, Moscow 125871, Russia

来源：

MEASUREMENT SCIENCE AND TECHNOLOGY | 1998年 / 9卷 / 06期

关键词：

sensors; parameter estimation; inverse problems; sensitivity analysis; optimization; mathematical models; least squares approximations; random processes; experimental design; information matrix;

D O I：

10.1088/0957-0233/9/6/003

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Optimal experiment design is the definition of the conditions under which an experiment is to be conducted in order to maximize the accuracy with which the results are obtained. This paper summarizes a number of methods by which the parameters of the mathematical model of the system are estimated and describes the application of the Fisher information matrix. Examples are given for thermal property estimation in which the estimation is affected both by measurement noise, which is present during any experiment, but also by uncertainties in the parameters of the model used to describe the system.

引用

页码：864 / 876

页数：13

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