On consistency of closed-loop subspace identification with innovation estimation
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[1] Alessandro Chiuso,et al. Constructing the state of random processes with feedback , 2003 .
[2] Torben Knudsen. Consistency analysis of subspace identification methods based on a linear regression approach , 2001, Autom..
[3] Lennart Ljung,et al. Closed-loop identification revisited , 1999, Autom..
[4] Bart De Moor,et al. N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems , 1994, Autom..
[5] Håkan Hjalmarsson,et al. From experiment design to closed-loop control , 2005, Autom..
[6] Lennart Ljung,et al. A Novel Subspace Identiflcation Approach with Parsimonious Parametrization , 2004 .
[7] Lennart Ljung,et al. Closed-Loop Subspace Identification with Innovation Estimation , 2003 .
[8] L. Ljung. Asymptotic variance expressions for identified black-box transfer function models , 1984, The 23rd IEEE Conference on Decision and Control.
[9] Lennart Ljung,et al. Subspace identification from closed loop data , 1996, Signal Process..
[10] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[11] D. D. Ruscio. Combined deterministic and stochastic system identification and realization : DSR : a subspace approach based on observations , 1996 .
[12] L. Ljung. Asymptotic variance expressions for identified black-box transfer function models , 1984 .
[13] Lennart Ljung,et al. Parallel QR Implementation of Subspace Identification with Parsimonious Models , 2003 .
[14] Patrick Dewilde,et al. Subspace model identification Part 1. The output-error state-space model identification class of algorithms , 1992 .
[15] Bo Wahlberg,et al. A linear regression approach to state-space subspace system identification , 1996, Signal Process..
[16] Håkan Hjalmarsson,et al. From experiments to closed loop control , 2003 .
[17] Michel Verhaegen,et al. Application of a subspace model identification technique to identify LTI systems operating in closed-loop , 1993, Autom..
[18] Wallace E. Larimore,et al. Canonical variate analysis in identification, filtering, and adaptive control , 1990, 29th IEEE Conference on Decision and Control.