Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle
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[1] J. Chu,et al. Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle , 2013 .
[2] Feng Ding,et al. Decomposition based fast least squares algorithm for output error systems , 2013, Signal Process..
[3] F. Ding. Two-stage least squares based iterative estimation algorithm for CARARMA system modeling ☆ , 2013 .
[4] F. Ding. Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling , 2013 .
[5] F. Ding. Coupled-least-squares identification for multivariable systems , 2013 .
[6] Feng Ding,et al. Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems , 2012, Int. J. Comput. Math..
[7] Mehdi Dehghan,et al. Iterative algorithms for the generalized centro‐symmetric and central anti‐symmetric solutions of general coupled matrix equations , 2012 .
[8] Rui Ding,et al. TS-RLS algorithm for pseudo-linear regressive models , 2012, 2012 American Control Conference (ACC).
[9] M. Dehghan,et al. Fourth‐order variants of Newton's method without second derivatives for solving non‐linear equations , 2012 .
[10] Wei Wang,et al. Maximum likelihood least squares identification for systems with autoregressive moving average noise , 2012 .
[11] Ruifeng Ding,et al. Two-stage least squares based iterative identification algorithm for controlled autoregressive moving average (CARMA) systems , 2012, Comput. Math. Appl..
[12] Jie Jia,et al. Two-stage recursive least squares parameter estimation algorithm for output error models , 2012, Math. Comput. Model..
[13] Feng Ding,et al. Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems , 2012, Math. Comput. Model..
[14] Y. Liu,et al. Gradient-based and least-squares-based iterative estimation algorithms for multi-input multi-output systems , 2012, J. Syst. Control. Eng..
[15] Mehdi Dehghan,et al. SSHI methods for solving general linear matrix equations , 2011 .
[16] Wei Wang,et al. Maximum likelihood parameter estimation algorithm for controlled autoregressive autoregressive models , 2011, Int. J. Comput. Math..
[17] Jimin Gao,et al. Identification and Functional Characterization of Two Orphan G-protein-coupled Receptors for Adipokinetic Hormones from Silkworm Bombyx mori* , 2011, The Journal of Biological Chemistry.
[18] Yong Zhang,et al. Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods , 2011, Math. Comput. Model..
[19] Jie Sheng,et al. Least squares based iterative parameter estimation algorithm for multivariable controlled ARMA system modelling with finite measurement data , 2011, Math. Comput. Model..
[20] Feng Ding,et al. Least squares based and gradient based iterative identification for Wiener nonlinear systems , 2011, Signal Process..
[21] Feng Ding,et al. Identification methods for Hammerstein nonlinear systems , 2011, Digit. Signal Process..
[22] Lei Chen,et al. Identification for the second-order systems based on the step response , 2011, Math. Comput. Model..
[23] Feng Ding,et al. Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems , 2010, Math. Comput. Model..
[24] J. Chou,et al. Parameter identification of chaotic systems using improved differential evolution algorithm , 2010 .
[25] Tokunbo Ogunfunmi,et al. An affine projection-based algorithm for identification of nonlinear Hammerstein systems , 2010, Signal Process..
[26] Feng Ding,et al. Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems , 2010, Comput. Math. Appl..
[27] Jie Sheng,et al. Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems , 2010, Comput. Math. Appl..
[28] Huazhen Fang,et al. Kalman filter-based identification for systems with randomly missing measurements in a network environment , 2010, Int. J. Control.
[29] Jing Lu,et al. Least squares based iterative identification for a class of multirate systems , 2010, Autom..
[30] Yanjun Liu,et al. Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model , 2009, Appl. Math. Comput..
[31] Yang Shi,et al. Output Feedback Stabilization of Networked Control Systems With Random Delays Modeled by Markov Chains , 2009, IEEE Transactions on Automatic Control.
[32] F. Ding,et al. An auxiliary model based on a recursive least-squares parameter estimation algorithm for non-uniformly sampled multirate systems , 2009 .
[33] Feng Ding,et al. Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems , 2008, Comput. Math. Appl..
[34] Jie Ding,et al. Parameter estimation error bounds for Hammerstein nonlinear finite impulsive response models , 2008, Appl. Math. Comput..
[35] Feng Ding,et al. Auxiliary model-based least-squares identification methods for Hammerstein output-error systems , 2007, Syst. Control. Lett..
[36] Chandramouli Padmanabhan,et al. Parametric identification of nonlinear systems using multiple trials , 2007 .
[37] Jozef Vörös,et al. Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities , 2007, Syst. Control. Lett..
[38] Er-Wei Bai,et al. Iterative identification of Hammerstein systems , 2007, Autom..
[39] Feng Ding,et al. Multirate crosstalk identification in xDSL systems , 2006, IEEE Transactions on Communications.
[40] Feng Ding,et al. Gradient-Based Identification Methods for Hammerstein Nonlinear ARMAX Models , 2006 .
[41] Feng Ding,et al. Identification of Hammerstein nonlinear ARMAX systems , 2005, Autom..
[42] Feng Ding,et al. Hierarchical identification of lifted state-space models for general dual-rate systems , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.
[43] Feng Ding,et al. Hierarchical least squares identification methods for multivariable systems , 2005, IEEE Trans. Autom. Control..
[44] Feng Ding,et al. Hierarchical gradient-based identification of multivariable discrete-time systems , 2005, Autom..
[45] Vito Cerone,et al. Parameter bounds for discrete-time Hammerstein models with bounded output errors , 2003, IEEE Trans. Autom. Control..
[46] Zhening Zhang,et al. Hierarchical least squares based iterative estimation algorithm for multivariable Box-Jenkins-like systems using the auxiliary model , 2012, Appl. Math. Comput..
[47] Dan Fan,et al. Identification for disturbed MIMO Wiener systems , 2009 .
[48] W. Silva,et al. Identification of Nonlinear Aeroelastic Systems Based on the Volterra Theory: Progress and Opportunities , 2005 .