ORDER ESTIMATION FOR SUBSPACE SYSTEM IDENTIFICATION METHODS

YANG Chun;;OU Jin-ping;

Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (11) : 13-16.

PDF(893 KB)
PDF(893 KB)
Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (11) : 13-16.
论文

ORDER ESTIMATION FOR SUBSPACE SYSTEM IDENTIFICATION METHODS

  • YANG Chun1, 2, OU Jin-ping1, 3

Author information +
History +

Abstract

Order estimation is an important step for subspace system identification methods, and has not been solved well. Four different estimation criterions, which are the singular value sequences gap, the gradient gap of singular value sequences, NIC and singular value criterion (SVC), are reviewed and an improved criterion MSVC is proposed based on SVC. The performance of these five criterions is compared through Monte Carlo test. The results indicate that the effect of MSVC is superior to others. Some suggestions are presented for the choices of the block row and block column number of the data block Hankel matrix based on the test results.

Key words

subspace methods / order estimation / singular value criterion / Monte Carlo

Cite this article

Download Citations
YANG Chun;;OU Jin-ping;. ORDER ESTIMATION FOR SUBSPACE SYSTEM IDENTIFICATION METHODS [J]. Journal of Vibration and Shock, 2009, 28(11): 13-16
PDF(893 KB)

Accesses

Citation

Detail

Sections
Recommended

/