Author/Authors :
Biao Huang، نويسنده , , Steven X. Ding and S. Joe Qin، نويسنده ,
DocumentNumber :
1384635
Title Of Article :
Closed-loop subspace identification: an orthogonal projection approach
شماره ركورد :
11275
Latin Abstract :
In this paper, a closed-loop subspace identification approach through an orthogonal projection and subsequent singular value decomposition is proposed. As a by-product of this development, it explains why some existing subspace methods may deliver a bias in the presence of the feedback control and suggests a remedy to eliminate the bias. Furthermore, as the proposed method is a projection based method, it can simultaneously provide extended observability matrix, lower triangular block-Toeplitz matrix, and Kalman filtered state sequences. Therefore, using this method, the system state space matrices can be recovered either from the extended observability matrix/the block-Toeplitz matrix or from the Kalman filter state sequences.
From Page :
53
NaturalLanguageKeyword :
closed-loop identification , Singular valuedecomposition , PCA , Subspace PCA , Projection , Subspace identification , Instrument variable method
JournalTitle :
Studia Iranica
To Page :
66
To Page :
66
Link To Document :
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