Variance analysis of linear SIMO models with spatially correlated noise
暂无分享,去创建一个
Giulio Bottegal | Håkan Hjalmarsson | Cristian R. Rojas | Niklas Everitt | H. Hjalmarsson | C. Rojas | Giulio Bottegal | Niklas Everitt
[1] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[2] Michel Verhaegen,et al. Output-Error Identification of Large Scale 1D-Spatially Varying Interconnected Systems , 2015, IEEE Transactions on Automatic Control.
[3] Giulio Bottegal,et al. On the variance of identified SIMO systems with spatially correlated output noise , 2014, 53rd IEEE Conference on Decision and Control.
[4] Håkan Hjalmarsson,et al. Variance analysis of identified linear MISO models having spatially correlated inputs, with application to parallel Hammerstein models , 2014, Autom..
[5] Aleksandar Haber,et al. Subspace Identification of Large-Scale Interconnected Systems , 2013, IEEE Transactions on Automatic Control.
[6] Arne Dankers,et al. Errors-in-variables identification in dynamic networks , 2014 .
[7] Bilal Gunes,et al. A variance reduction technique for identification in dynamic networks , 2014 .
[8] Arne G. Dankers,et al. Predictor input selection for direct identification in dynamic networks , 2013, 52nd IEEE Conference on Decision and Control.
[9] Håkan Hjalmarsson,et al. A geometric approach to variance analysis of cascaded systems , 2013, 52nd IEEE Conference on Decision and Control.
[10] Xavier Bombois,et al. Identification of dynamic models in complex networks with prediction error methods - Basic methods for consistent module estimates , 2013, Autom..
[11] Xavier Bombois,et al. Predictor input selection for two stage identification in dynamic networks , 2013, 2013 European Control Conference (ECC).
[12] Biao Huang,et al. System Identification , 2000, Control Theory for Physicists.
[13] T. Koski,et al. A Review of Bayesian Networks and Structure Learning , 2012 .
[14] Alessandro Chiuso,et al. A Bayesian approach to sparse dynamic network identification , 2012, Autom..
[15] C. Papadimitriou,et al. The effect of prediction error correlation on optimal sensor placement in structural dynamics , 2012 .
[16] Murti V. Salapaka,et al. Relations between structure and estimators in networks of dynamical systems , 2011, IEEE Conference on Decision and Control and European Control Conference.
[17] H. Werner,et al. Consistent identification of spatially interconnected systems , 2011, Proceedings of the 2011 American Control Conference.
[18] Maria Q. Feng,et al. System identification of a building from multiple seismic records , 2011 .
[19] Håkan Hjalmarsson,et al. A Geometric Approach to Variance Analysis in System Identification , 2011, IEEE Transactions on Automatic Control.
[20] B. Wahlberg,et al. On Identification of Parallel Cascade Serial Systems , 2011 .
[21] Henrik Ohlsson,et al. Four Encounters with System Identification , 2011, Eur. J. Control.
[22] Philipp Birken,et al. Numerical Linear Algebra , 2011, Encyclopedia of Parallel Computing.
[23] Bo Wahlberg,et al. Variance results for identification of cascade systems , 2009, Autom..
[24] Jonas Mårtensson,et al. Geometric analysis of stochastic model errors in system identification , 2007 .
[25] Håkan Hjalmarsson,et al. Least-squares estimation of a class of frequency functions: A finite sample variance expression , 2006, Autom..
[26] Michel Gevers,et al. Identification of multi-input systems: variance analysis and input design issues , 2006, Autom..
[27] H. Harry Asada,et al. Laguerre-model blind system identification: cardiovascular dynamics estimated from multiple peripheral circulatory signals , 2005, IEEE Transactions on Biomedical Engineering.
[28] Håkan Hjalmarsson,et al. Analysis of the variability of joint input-output estimation methods , 2005, Autom..
[29] Håkan Hjalmarsson,et al. On the frequency domain accuracy of closed-loop estimates , 2005, Autom..
[30] Håkan Hjalmarsson,et al. Variance error quantifications that are exact for finite-model order , 2004, IEEE Transactions on Automatic Control.
[31] Marc Moonen,et al. GSVD-based optimal filtering for single and multimicrophone speech enhancement , 2002, IEEE Trans. Signal Process..
[32] Yucai Zhu,et al. Multivariable System Identification For Process Control , 2001 .
[33] Håkan Hjalmarsson,et al. The fundamental role of general orthonormal bases in system identification , 1999, IEEE Trans. Autom. Control..
[34] É. Chaumette,et al. A parameterized maximum likelihood method for multipaths channels estimation , 1999, 1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304).
[35] Lennart Ljung,et al. System identification (2nd ed.): theory for the user , 1999 .
[36] J. F. Hauer,et al. SIMO system identification from measured ringdowns , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).
[37] Björn E. Ottersten,et al. Maximum likelihood array processing in spatially correlated noise fields using parameterized signals , 1997, IEEE Trans. Signal Process..
[38] D. Satpathi,et al. Optimal transducer placement for health monitoring of long span bridge , 1997 .
[39] B. Ninness,et al. A unifying construction of orthonormal bases for system identification , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.
[40] P. H. Kirkegaard,et al. On the optimal location of sensors for parametric identification of linear structural systems , 1994 .
[41] Björn E. Ottersten,et al. Instrumental variable approach to array processing in spatially correlated noise fields , 1994, IEEE Trans. Signal Process..
[42] Björn E. Ottersten,et al. Sensor array processing based on subspace fitting , 1991, IEEE Trans. Signal Process..
[43] Yucai Zhu. Black-box identification of mimo transfer functions: Asymptotic properties of prediction error models , 1989 .
[44] D. Cox,et al. Parameter Orthogonality and Approximate Conditional Inference , 1987 .
[45] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[46] Jae S. Lim,et al. Speech enhancement , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[47] L. Ljung. Asymptotic variance expressions for identified black-box transfer function models , 1984, The 23rd IEEE Conference on Decision and Control.
[48] L. Ljung,et al. Black-box identification of multivariable transfer functions—asymptotic properties and optimal input design , 1984 .
[49] B. Anderson,et al. Optimal Filtering , 1979, IEEE Transactions on Systems, Man, and Cybernetics.
[50] R. O. Schmidt,et al. Multiple emitter location and signal Parameter estimation , 1986 .
[51] L. Ljung,et al. Asymptotic normality of prediction error estimators for approximate system models , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.
[52] M. Bartlett. An Inverse Matrix Adjustment Arising in Discriminant Analysis , 1951 .