Towards a state-space polytopic uncertainty description using subspace model identification techniques

被引：4
|
作者：
Van den Boom, TJJ [1 ]
Haverkamp, BRJ [1 ]
机构：
[1] Delft Univ Technol, Delft Ctr Syst & Control, NL-2628 CD Delft, Netherlands
来源：
INTERNATIONAL JOURNAL OF CONTROL | 2003年 / 76卷 / 15期
关键词：
D O I：
10.1080/00207170310001617095
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we introduce a novel method for the estimation of the uncertainty on a model, identified using subspace identification methods. The key to this method is the calculation of the first-order approximation of the relation between the perturbation on the data and the error on the elements in the identified state-space matrices. Using the first-order approximation we can find a polytopic description of the uncertainty region of the identified model. This polytopic description can for instance be used to develop a robust(ified) controller for the plant.
引用
收藏
页码：1570 / 1583
页数：14
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