Optimal experimental design and some related control problems

被引：162
作者：
Pronzato, Luc [1 ]
机构：
[1] Univ Nice Sophia Antipolis, CNRS, Lab 13S, Nice, France
来源：
AUTOMATICA | 2008年 / 44卷 / 02期
关键词：
parameter estimation; design of experiments; adaptive control; active control; active learning;
D O I：
10.1016/j.automatica.2007.05.016
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper traces the strong relations between experimental design and control, such as the use of optimal inputs to obtain precise parameter estimation in dynamical systems and the introduction of suitably designed perturbations in adaptive control. The mathematical background of optimal experimental design is briefly presented, and the role of experimental design in the asymptotic properties of estimators is emphasized. Although most of the paper concerns parametric models, some results are also presented for statistical learning and prediction with nonparametric models. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：303 / 325
页数：23
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