Predictor-Based Tensor Regression (PBTR) for LPV subspace identification
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[1] Lennart Ljung,et al. System identification (2nd ed.): theory for the user , 1999 .
[2] Jan-Willem van Wingerden,et al. LPV Identification of Wind Turbine Rotor Vibrational Dynamics Using Periodic Disturbance Basis Functions , 2013, IEEE Transactions on Control Systems Technology.
[3] Michel Verhaegen,et al. Subspace identification of MIMO LPV systems using a piecewise constant scheduling sequence with hard/soft switching , 2007, 2007 European Control Conference (ECC).
[4] M. Athans,et al. Gain Scheduling: Potential Hazards and Possible Remedies , 1992, 1991 American Control Conference.
[5] Jan-Willem van Wingerden,et al. Tensor regression for LPV subspace identification , 2015 .
[6] Alessandro Chiuso,et al. The role of vector autoregressive modeling in predictor-based subspace identification , 2007, Autom..
[7] Haiping Lu,et al. MPCA: Multilinear Principal Component Analysis of Tensor Objects , 2008, IEEE Transactions on Neural Networks.
[8] Hongtu Zhu,et al. Tensor Regression with Applications in Neuroimaging Data Analysis , 2012, Journal of the American Statistical Association.
[9] Magnus Jansson. A NEW SUBSPACE IDENTIFICATION METHOD FOR OPEN AND CLOSED LOOP DATA , 2005 .
[10] M. Verhaegen,et al. LPV subspace identification using a novel nuclear norm regularization method , 2011, Proceedings of the 2011 American Control Conference.
[11] Michel Verhaegen,et al. Subspace identification of MIMO LPV systems using a periodic scheduling sequence , 2007, Autom..
[12] Bassam Bamieh,et al. Identification of linear parameter varying models , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).
[13] Fernando D. Bianchi,et al. Gain scheduling control of variable-speed wind energy conversion systems using quasi-LPV models , 2005 .
[14] Michel Verhaegen,et al. Subspace identification of Bilinear and LPV systems for open- and closed-loop data , 2009, Autom..
[15] Gene H. Golub,et al. Generalized cross-validation as a method for choosing a good ridge parameter , 1979, Milestones in Matrix Computation.
[16] Michel Verhaegen,et al. Identification of fully parameterized linear and nonlinear state-space systems by projected gradient search , 2003 .
[17] Gary J. Balas,et al. LINEAR, PARAMETER-VARYING CONTROL AND ITS APPLICATION TO AEROSPACE SYSTEMS , 2002 .
[18] Michael Buchholz,et al. Identification of a bilinear and parameter-varying model for lithium-ion batteries by subspace methods , 2013, 2013 American Control Conference.
[19] Weiwei Guo,et al. Tensor Learning for Regression , 2012, IEEE Transactions on Image Processing.
[20] Haiping Lu,et al. A survey of multilinear subspace learning for tensor data , 2011, Pattern Recognit..
[21] Torben Knudsen. Consistency analysis of subspace identification methods based on a linear regression approach , 2001, Autom..
[22] Bart De Moor,et al. Subspace identification of bilinear systems subject to white inputs , 1999, IEEE Trans. Autom. Control..
[23] Hossam Seddik Abbas,et al. On the State-Space Realization of LPV Input-Output Models: Practical Approaches , 2012, IEEE Transactions on Control Systems Technology.
[24] Joe Brewer,et al. Kronecker products and matrix calculus in system theory , 1978 .
[25] Bassam Bamieh,et al. LPV model identification for gain scheduling control: An application to rotating stall and surge control problem , 2006 .
[26] J. Suykens,et al. Nuclear Norms for Tensors and Their Use for Convex Multilinear Estimation , 2011 .
[27] Michel Verhaegen,et al. Tensor regression for LTI subspace identification , 2015, 2015 American Control Conference (ACC).
[28] Jan Swevers,et al. AN APPLICATION OF INTERPOLATING GAIN-SCHEDULING CONTROL , 2007 .
[29] Carsten W. Scherer,et al. LPV control and full block multipliers , 2001, Autom..
[30] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[31] Demetri Terzopoulos,et al. Multilinear Analysis of Image Ensembles: TensorFaces , 2002, ECCV.
[32] Lawton H. Lee,et al. Identification of Linear Parameter-Varying Systems Using Nonlinear Programming , 1999 .
[33] M. Lovera,et al. Identification for gain-scheduling: a balanced subspace approach , 2007, 2007 American Control Conference.