J. De-caigny, R. Pintelon, J. F. Camino, and J. Swevers, Interpolated Modeling of LPV Systems, IEEE Transactions on Control Systems Technology, vol.22, issue.6, pp.2232-2246, 2014.
DOI : 10.1109/TCST.2014.2300510

J. De-caigny, J. F. Camino, and J. Swevers, Interpolation-Based Modeling of MIMO LPV Systems, IEEE Transactions on Control Systems Technology, vol.19, issue.1, pp.46-63, 2011.
DOI : 10.1109/TCST.2010.2078509

B. Kulcsar and R. Tóth, On The Similarity State Transformation for Linear Parameter-Varying Systems, 18th IFAC World Congress, 2011.
DOI : 10.3182/20110828-6-IT-1002.02253

L. Ljung, System Identification ? Theory for the User, 1999.

P. Lopes-dos-santos, T. Azevedo-perdicoúlis, J. A. Ramos, J. L. Martins-de-carvalho, G. Jank et al., An LPV Modeling and Identification Approach to Leakage Detection in High Pressure Natural Gas Transportation Networks, IEEE Transactions on Control Systems Technology, vol.19, issue.1, pp.77-92, 2011.
DOI : 10.1109/TCST.2010.2077293

M. Lovera and G. Mercere, Identification for gain-scheduling: a balanced subspace approach, 2007 American Control Conference, pp.858-863, 2007.
DOI : 10.1109/ACC.2007.4282899

URL : https://hal.archives-ouvertes.fr/hal-00164365

G. Mercere, H. Palsson, and T. Poinot, Continuous-Time Linear Parameter-Varying Identification of a Cross Flow Heat Exchanger: A Local Approach, IEEE Transactions on Control Systems Technology, vol.19, issue.1, pp.64-76, 2011.
DOI : 10.1109/TCST.2010.2071874

D. Piga, P. B. Cox, R. Toth, and V. Laurain, Identification of LPV models from noise-corrupted scheduling parameter and output observations, Automatica, 2015.
DOI : 10.1016/j.automatica.2015.01.018

M. Steinbuch, R. Van-de-molengraft, A. Van, and . Voort, Experimental modelling and LPV control of a motion system, Proceedings of the 2003 American Control Conference, 2003., pp.1374-1379, 2003.
DOI : 10.1109/ACC.2003.1239782

R. Tóth, V. Laurain, M. Gilson, and H. Garnier, Instrumental variable scheme for closed-loop LPV model identification, Automatica, vol.48, issue.9, pp.2314-2320, 2012.
DOI : 10.1016/j.automatica.2012.06.037

R. Tóth, Modeling and Identification of Linear Parameter-Varying Systems, 2010.
DOI : 10.1007/978-3-642-13812-6

R. Tóth, F. Felici, S. C. Peter, P. M. Heuberger, and . Van-den-hof, Discrete time LPV I/O and state space representations, differences of behavior and pitfalls of interpolation, European Control Conference, pp.5418-5425, 2007.

P. Van-overschee, B. De, and . Moor, Subspace Identification for Linear Systems: Theory, Implementation Applications, 1996.
DOI : 10.1007/978-1-4613-0465-4

J. Van-wingerden and M. Verhaegen, Subspace identification of Bilinear and LPV systems for open- and closed-loop data, Automatica, vol.45, issue.2, pp.372-381, 2009.
DOI : 10.1016/j.automatica.2008.08.015

V. Verdult and M. Verhaegen, Subspace identification of piecewise linear systems, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), 2004.
DOI : 10.1109/CDC.2004.1429336

URL : http://www.math.rutgers.edu/~sontag/FTP_DIR/04cdc-papers-refs-eds/ThC06.1.pdf

Q. Zhang and L. Ljung, LPV System Common State Basis Estimation from Independent Local LTI Models, 17th IFAC Symposium on System Identification (SYSID), 2015.
URL : https://hal.archives-ouvertes.fr/hal-01232190

Y. Zhao, B. Huang, H. Su, and J. Chu, Prediction error method for identification of LPV models, Journal of Process Control, vol.22, issue.1, pp.180-193, 2012.
DOI : 10.1016/j.jprocont.2011.09.004