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
收藏
页码：1075 / 1080
页数：6
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