On the Number of Rows and Columns in Subspace Identification Methods
暂无分享,去创建一个
[1] Lennart Ljung,et al. Interpretation of Subspace Methods : Consistency Analysis , 1997 .
[2] Johan A. K. Suykens,et al. Identification of stable models in subspace identification by using regularization , 2001, IEEE Trans. Autom. Control..
[3] Johan A. K. Suykens,et al. Identification of positive real models in subspace identification by using regularization , 2003, IEEE Trans. Autom. Control..
[4] Petre Stoica,et al. Vector ARMA estimation: a reliable subspace approach , 2000, IEEE Trans. Signal Process..
[5] P. Van Overschee,et al. Subspace algorithms for the stochastic identification problem , 1991 .
[6] H. Akaike. Markovian Representation of Stochastic Processes by Canonical Variables , 1975 .
[7] J. Maciejowski. Guaranteed stability with subspace methods , 1995 .
[8] Tony Gustafsson. Subspace-based system identification: weighting and pre-filtering of instruments , 2002, Autom..
[9] B. Moor,et al. On the Rank Deficiency of the Least Squares Residuals in Subspace Identification , 2000 .
[10] Torben Knudsen. Consistency analysis of subspace identification methods based on a linear regression approach , 2001, Autom..
[11] Manfred Deistler,et al. Statistical analysis of novel subspace identification methods , 1996, Signal Process..
[12] A. Benveniste,et al. Single sample modal identification of a nonstationary stochastic process , 1985, IEEE Transactions on Automatic Control.
[13] Dietmar Bauer,et al. Consistency and asymptotic normality of some subspace algorithms for systems without observed inputs , 1999, Autom..
[14] Patrick Dewilde,et al. Subspace model identification Part 1. The output-error state-space model identification class of algorithms , 1992 .
[15] Dietmar Bauer,et al. Analysis of the asymptotic properties of the MOESP type of subspace algorithms , 2000, Autom..
[16] Bo Wahlberg,et al. On Consistency of Subspace Methods for System Identification , 1998, Autom..
[17] Y. Baram. Realization and reduction of Markovian models from nonstationary data , 1981 .
[18] Mats Viberg,et al. Subspace-based methods for the identification of linear time-invariant systems , 1995, Autom..
[19] Lennart Ljung,et al. Some facts about the choice of the weighting matrices in Larimore type of subspace algorithms , 2002, Autom..
[20] Bo Wahlberg,et al. A linear regression approach to state-space subspace system identification , 1996, Signal Process..
[21] Anders Lindquist,et al. Experimental evidence showing that stochastic subspace identification methods may fail 1 1 This rese , 1998 .
[22] Bo Wahlberg,et al. Analysis of state space system identification methods based on instrumental variables and subspace fitting , 1997, Autom..
[23] Anders Lindquist,et al. Canonical correlation analysis, approximate covariance extension, and identification of stationary time series , 1996, Autom..
[24] Bhaskar D. Rao,et al. Statistical analysis of subspace-based estimation of reduced-rank linear regressions , 2002, IEEE Trans. Signal Process..
[25] K. D. Cock. Principal Angles in System Theory, Information Theory and Signal Processing , 2002 .
[26] T. W. Anderson. An Introduction to Multivariate Statistical Analysis , 1959 .