Subspace-based multivariable system identification from frequency response data

被引:372
作者
McKelvey, T
Akcay, H
Ljung, L
机构
[1] Department of Electrical Engineering, Linköping University
[2] Tübitak, Marmara Research Center
关键词
D O I
10.1109/9.508900
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Two noniterative subspace-based algorithms which identify linear, time-invariant MIMO (multi-input/multioutput) systems from frequency response data are presented. The algorithms are related to the recent time-domain subspace identification techniques. The first algorithm uses equidistantly, in frequency, spaced data and is strongly consistent under weak noise assumptions. The second algorithm uses arbitrary frequency spacing and is strongly consistent under more restrictive noise assumptions. Promising results are obtained when the algorithms are applied to real frequency data originating from a large flexible structure.
引用
收藏
页码:960 / 979
页数:20
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