ESTIMATION OF PARAMETER BOUNDS FROM BOUNDED-ERROR DATA - A SURVEY

被引：161

作者：

WALTER, E ^{[1
]}

PIETLAHANIER, H ^{[1
]}

机构：

[1] ECOLE SUPER ELECT,CNRS,SIGNAUX & SYST LAB,F-91192 GIF SUR YVETTE,FRANCE

来源：

MATHEMATICS AND COMPUTERS IN SIMULATION | 1990年 / 32卷 / 5-6期

关键词：

D O I：

10.1016/0378-4754(90)90002-Z

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Set-membership techniques for estimating parameters from uncertain data are reviewed. Contrary to the prevailing usage, the error in the data is not considered as a random variable with known or parameterized probability density function. Instead, the error is assumed to lie between some known upper and lower bounds. One is then looking for a suitable characterization of the set of all parameter vectors consistent with the model structure, data, and bounds on the errors.

引用

页码：449 / 468

页数：20

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