Model selection via worst-case criterion for nonlinear bounded-error estimation

被引：0

作者：

Brahim-Belhouari, S ^{[1
]}

Kieffer, M ^{[1
]}

Fleury, G ^{[1
]}

Jaulin, L ^{[1
]}

Walter, É ^{[1
]}

机构：

[1] Ecole Super Elect, Serv Mesures, F-91192 Gif Sur Yvette, France

来源：

IMTC/99: PROCEEDINGS OF THE 16TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS. 1-3 | 1999年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper the problem of model selection for measurement purpose is studied. A new selection procedure in a deterministic framework is proposed. The problem of nonlinear bounded-error estimation is viewed as a set inversion procedure. As each candidate model structure leads to a specific set of admissible values of the measurement vector the worst-case criterion is used to select the optimal model. The selection procedure is applied to a real measurement problem, grooves dimensioning using Remote Field Eddy Current (RFEC) inspection.

引用

页码：1075 / 1080

页数：6

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