Frequency domain subspace-based identification of discrete-time singular power spectra from uniformly spaced measurements

被引：0
|
作者：
Akcay, Huseyin [1 ]
机构：
[1] Anadolu Univ, Dept Elect & Elect Engn, TR-26470 Eskisehir, Turkey
来源：
2012 AMERICAN CONTROL CONFERENCE (ACC) | 2012年
关键词：
MINIMIZATION; EQUATIONS; MATRICES; MODELS; REAL;
D O I：
暂无
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 propose a subspace algorithm for the identification of linear-time-invariant discrete-time systems with more outputs than inputs from measured power spectrum data. The proposed identification algorithm is interpolatory and strongly consistent when the corruptions in the spectrum measurements have a bounded covariance function. Asymptotic performance and the interpolation properties of the proposed algorithm are illustrated by means of a numerical example.
引用
收藏
页码：2677 / 2682
页数：6
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