Parameterization and identification of multivariable state-space systems: A canonical approach
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[1] Michel Verhaegen,et al. Filtering and System Identification: Frontmatter , 2007 .
[2] A. Chiuso,et al. The asymptotic variance of subspace estimates , 2004 .
[3] Stéphane Lecoeuche,et al. Propagator-based methods for recursive subspace model identification , 2008, Signal Process..
[4] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[5] Roberto Guidorzi. Equivalence, invariance and dynamical system canonical modelling. I. Invariant properties of observable models and associated transformations , 1989, Kybernetika.
[6] Marco Lovera,et al. Bootstrap-based estimates of uncertainty in subspace identification methods , 2000, Autom..
[7] D. Luenberger. Canonical forms for linear multivariable systems , 1967, IEEE Transactions on Automatic Control.
[8] B. De Moor,et al. A unifying theorem for three subspace system identification algorithms , 1994, Proceedings of 1994 American Control Conference - ACC '94.
[9] Petre Stoica,et al. Decentralized Control , 2018, The Control Systems Handbook.
[10] Marco Lovera,et al. CONVERGENCE ANALYSIS OF INSTRUMENTAL VARIABLE RECURSIVE SUBSPACE IDENTIFICATION ALGORITHMS , 2006 .
[11] P.M.J. Van den Hof,et al. Modeling and Identification of Linear Parameter-Varying Systems, an Orthonormal Basis Function Approach , 2004 .
[12] Thomas Kailath,et al. Linear Systems , 1980 .
[13] D. Bauer. Some asymptotic theory for the estimation of linear systems using maximum likelihood methods or subspace algorithms , 1998 .
[14] Rafael Castro-Linares,et al. Trajectory tracking for non-holonomic cars: A linear approach to controlled leader-follower formation , 2010, 49th IEEE Conference on Decision and Control (CDC).
[15] Elie Tohme. Initialization of output error identification algorithms , 2008 .
[16] Lennart Ljung,et al. System identification toolbox for use with MATLAB , 1988 .
[17] Lennart Ljung,et al. A statistical perspective on state-space modeling using subspace methods , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.
[18] Bart De Moor,et al. Subspace Identification for Linear Systems: Theory ― Implementation ― Applications , 2011 .
[19] T. McKelvey. Identification of State-Space Models from Time and Frequency Data , 1995 .
[20] Tohru Katayama,et al. Subspace Methods for System Identification , 2005 .
[21] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[22] Hamid Krim,et al. Two Decades of Array Signal Processing , 1997 .
[23] M. Petreczky. Realization theory of hybrid systems , 2006 .
[24] V. Verdult,et al. Filtering and System Identification: A Least Squares Approach , 2007 .
[25] Daryl Pregibon,et al. A statistical perspective on KDD , 1995, KDD 1995.
[26] Roberto Guidorzi,et al. Minimal representations of MIMO time-varying systems and realization of cyclostationary models , 2003, Autom..
[27] Michel Verhaegen,et al. Fast-array Recursive Closed-loop Subspace Model Identification , 2009 .
[28] J. Willems,et al. Parametrizations of linear dynamical systems: Canonical forms and identifiability , 1974 .
[29] Roland Toth,et al. Modeling and Identification of Linear Parameter-Varying Systems , 2010 .
[30] R. Kálmán. Mathematical description of linear dynamical systems , 1963 .
[31] Lennart Ljung,et al. System identification (2nd ed.): theory for the user , 1999 .
[32] M. Viberg,et al. Two decades of array signal processing research: the parametric approach , 1996, IEEE Signal Process. Mag..
[33] Dietmar Bauer,et al. Analysis of the asymptotic properties of the MOESP type of subspace algorithms , 2000, Autom..
[34] Stéphane Lecoeuche,et al. On-line structured subspace identification with application to switched linear systems , 2009, Int. J. Control.
[35] René Vidal,et al. Identification of Hybrid Systems: A Tutorial , 2007, Eur. J. Control.
[36] M. Denham. Canonical forms for the identification of multivariable linear systems , 1974 .
[37] Gilles Y. Delisle,et al. Spatial analysis using new properties of the cross-spectral matrix , 1991, IEEE Trans. Signal Process..
[38] Lennart Ljung,et al. Handling Certain Structure Information in Subspace Identification , 2009 .
[39] L. Silverman,et al. Transformation of time-variable systems to canonical (phase-variable) form , 1966 .