Reliable minimax parameter estimation

被引：11

作者：

Jaulin, L.

机构：

[1] Lab. des Signaux et Systèmes, CNRS, Supélec, Plateau de Moulon, 91192 Gif-sur-Yvette Cedex, France

[2] Lab. d'Ingenierie Syst. Automatises, 62 avenue Notre Dame du Lac, 49000 Angers, France

来源：

Reliable Computing | 2001年 / 7卷 / 03期

关键词：

D O I：

10.1023/A:1011451021517

中图分类号：

学科分类号：

摘要：

This paper deals with the minimax parameter estimation of nonlinear parametric models from experimental data. Taking advantage of the special structure of the minimax problem, a new efficient and reliable algorithm based on interval constraint propagation is proposed. As an illustration, the ill-conditioned problem of estimating the parameters of a two-exponential model is considered.

引用

页码：231 / 246