How to Make Bias and Variance Errors Insensitive to System and Model Complexity in Identification
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[1] Håkan Hjalmarsson,et al. A geometric approach to variance analysis in system identification: Theory and nonlinear systems , 2007, 2007 46th IEEE Conference on Decision and Control.
[2] Lennart Ljung,et al. Optimal experiment designs with respect to the intended model application , 1986, Autom..
[3] Venkataramanan Balakrishnan,et al. System identification: theory for the user (second edition): Lennart Ljung; Prentice-Hall, Englewood Cliffs, NJ, 1999, ISBN 0-13-656695-2 , 2002, Autom..
[4] Håkan Hjalmarsson,et al. Input design via LMIs admitting frequency-wise model specifications in confidence regions , 2005, IEEE Transactions on Automatic Control.
[5] Håkan Hjalmarsson,et al. Robust Input Design Using Sum of Squares Constraints , 2006 .
[6] Håkan Hjalmarsson,et al. Identification of ARX systems with non-stationary inputs - asymptotic analysis with application to adaptive input design , 2009, Autom..
[7] H. Hjalmarsson,et al. On Some Robustness Issues in Input Design , 2006 .
[8] Karl Johan Åström,et al. Computer-controlled systems (3rd ed.) , 1997 .
[9] ShaoHuihe,et al. Optimal closed-loop identification test design for internal model control , 2004 .
[10] D.G. Dudley,et al. Dynamic system identification experiment design and data analysis , 1979, Proceedings of the IEEE.
[11] Lennart Ljung,et al. Some results on optimal experiment design , 2000, Autom..
[12] Håkan Hjalmarsson,et al. The Cost of Complexity in Identification of FIR Systems , 2008 .
[13] Lennart Ljung,et al. Unprejudiced optimal open loop input design for identification of transfer functions , 1985, Autom..
[14] R. Mehra. Optimal inputs for linear system identification , 1974 .
[15] W. J. Studden,et al. Theory Of Optimal Experiments , 1972 .
[16] Håkan Hjalmarsson,et al. System identification of complex and structured systems , 2009, 2009 European Control Conference (ECC).
[17] L. Ljung,et al. Asymptotic properties of black-box identification of transfer functions , 1985 .
[18] Håkan Hjalmarsson,et al. Identification for control: adaptive input design using convex optimization , 2001 .
[19] Thomas L. Marzetta,et al. Parameter estimation problems with singular information matrices , 2001, IEEE Trans. Signal Process..
[20] Graham C. Goodwin,et al. Robust optimal experiment design for system identification , 2007, Autom..
[21] Håkan Hjalmarsson,et al. For model-based control design, closed-loop identification gives better performance , 1996, Autom..
[22] Håkan Hjalmarsson,et al. A geometric approach to variance analysis in system identification: Linear Time-Invariant Systems , 2007, 2007 46th IEEE Conference on Decision and Control.
[23] Jonas Mårtensson,et al. Geometric analysis of stochastic model errors in system identification , 2007 .
[24] P. W. Zehna. Invariance of Maximum Likelihood Estimators , 1966 .
[25] H. Hjalmarsson,et al. Consistent estimation of real NMP zeros in stable LTI systems of arbitrary complexity , 2009 .
[26] L. Ljung. Asymptotic variance expressions for identified black-box transfer function models , 1984 .
[27] Martin B. Zarrop,et al. Optimal experiment design for dynamic system identification , 1977 .
[28] H. Hjalmarsson,et al. Adaptive input design in system identification , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.