Recursive identification of errors-in-variables Wiener-Hammerstein systems
暂无分享,去创建一个
[1] Han-Fu Chen,et al. Recursive identification for Wiener-Hammerstein system , 2011, Proceedings of the 30th Chinese Control Conference.
[2] Han-Fu Chen. Stochastic approximation and its applications , 2002 .
[3] K. B. Davis,et al. Mean Square Error Properties of Density Estimates , 1975 .
[4] M. J. Korenberg,et al. The identification of nonlinear biological systems: Wiener and Hammerstein cascade models , 1986, Biological Cybernetics.
[5] C. H. Chen,et al. Maximum likelihood identification of stochastic Weiner-Hammerstein-type non-linear systems , 1992 .
[6] Johan Schoukens,et al. Initializing Wiener-Hammerstein models based on partitioning of the best linear approximation , 2012, Autom..
[7] E. Bai,et al. Block Oriented Nonlinear System Identification , 2010 .
[8] A. Tsybakov. Passive stochastic approximation , 1988 .
[9] M. Boutayeb,et al. Recursive identification method for MISO Wiener-Hammerstein model , 1995, IEEE Trans. Autom. Control..
[10] Han-Fu Chen,et al. Recursive Identification of MIMO Wiener Systems , 2013, IEEE Transactions on Automatic Control.
[11] Dennis S. Bernstein,et al. Extended least-correlation estimates for errors-in-variables non-linear models , 2007, Int. J. Control.
[12] H. Teicher,et al. Probability theory: Independence, interchangeability, martingales , 1978 .
[13] Er-Wei Bai,et al. Identification of a modified Wiener-Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling , 2009, Autom..
[14] Graham C. Goodwin,et al. Identifiability of errors in variables dynamic systems , 2008, Autom..
[15] Wen-Xiao Zhao,et al. Stochastic approximation based PCA and its application to identification of EIV systems , 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.
[16] D. Brillinger. The identification of a particular nonlinear time series system , 1977 .
[17] Han-Fu Chen,et al. Recursive identification for multivariate errors-in-variables systems , 2007, Autom..
[18] Jianqing Fan,et al. Nonparametric regression with errors in variables , 1993 .
[19] P. Révész,et al. How to apply the method of stochastic approximation in the non-parametric estimation of a regression function 1 , 1977 .
[20] Wen-Xiao Zhao,et al. New Method of Order Estimation for ARMA/ARMAX Processes , 2010, SIAM J. Control. Optim..
[21] Stephen A. Billings,et al. Identification of systems containing linear dynamic and static nonlinear elements , 1982, Autom..
[22] Torsten Söderström,et al. Errors-in-variables methods in system identification , 2018, Autom..
[23] R. Carroll,et al. Deconvolving kernel density estimators , 1987 .
[24] Han-Fu Chen,et al. Recursive identification of errors-in-variables Wiener systems , 2013, Autom..
[25] Han-Fu Chen,et al. Hankel matrices for system identification , 2014 .
[26] W. Greblicki,et al. Nonparametric system identification , 2008 .
[27] Johan Schoukens,et al. Initial estimates of the linear subsystems of Wiener-Hammerstein models , 2012, Autom..
[28] István Vajk,et al. Identification of nonlinear errors-in-variables models , 2003, Autom..
[29] Han-Fu Chen,et al. Identification of errors-in-variables systems with ARMA observation noises , 2008, Syst. Control. Lett..
[30] Johan A. K. Suykens,et al. Least-Squares Support Vector Machines for the Identification of Wiener-Hammerstein Systems , 2012 .