Partially coupled extended stochastic gradient algorithm for nonlinear multivariable output error moving average systems
暂无分享,去创建一个
[1] Fei Liu,et al. Linear Optimal Unbiased Filter for Time-Variant Systems Without Apriori Information on Initial Conditions , 2017, IEEE Transactions on Automatic Control.
[2] Feng Ding,et al. Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering , 2017, J. Frankl. Inst..
[3] Feng Ding,et al. Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems , 2011, Comput. Math. Appl..
[4] Wan Xiangkui,et al. A T-wave alternans assessment method based on least squares curve fitting technique , 2016 .
[5] F. Ding,et al. Least squares and stochastic gradient parameter estimation for multivariable nonlinear Box‐Jenkins models based on the auxiliary model and the multi‐innovation identification theory , 2012 .
[6] F. Ding. Coupled-least-squares identification for multivariable systems , 2013 .
[7] Ling Xu,et al. A proportional differential control method for a time-delay system using the Taylor expansion approximation , 2014, Appl. Math. Comput..
[8] Maryam Dehghani,et al. Identification of nonlinear MIMO block-oriented systems with moving average noises using gradient based and least squares based iterative algorithms , 2012, Neurocomputing.
[9] Kang Li,et al. A two-stage algorithm for identification of nonlinear dynamic systems , 2006, Autom..
[10] Feng Ding,et al. Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems , 2014, J. Frankl. Inst..
[11] Feng Ding,et al. The auxiliary model based hierarchical gradient algorithms and convergence analysis using the filtering technique , 2016, Signal Process..
[12] Ling Xu,et al. Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration , 2015 .
[13] Robert E. Kearney,et al. Subspace Identification of SISO Hammerstein Systems: Application to Stretch Reflex Identification , 2013, IEEE Transactions on Biomedical Engineering.
[14] Kewen Wang,et al. An Improved Identification Method for Multivariable System , 2014 .
[15] Fei Liu,et al. Fast Kalman-Like Optimal Unbiased FIR Filtering With Applications , 2016, IEEE Transactions on Signal Processing.
[16] Wenge Zhang,et al. Decomposition based least squares iterative estimation algorithm for output error moving average systems , 2014 .
[17] Maryam Dehghani,et al. Identification of multivariable nonlinear systems in the presence of colored noises using iterative hierarchical least squares algorithm. , 2014, ISA transactions.
[18] Huiping Li,et al. Distributed receding horizon control of constrained nonlinear vehicle formations with guaranteed γ-gain stability , 2016, Autom..
[19] Chang Tan,et al. A novel particle swarm optimization based robust H-infinity control for rotorcrafts , 2014 .
[20] Peter C. Young,et al. Refined instrumental variable estimation: Maximum likelihood optimization of a unified Box-Jenkins model , 2015, Autom..
[21] Emmanuel D. Blanchard,et al. Parameter estimation for mechanical systems via an explicit representation of uncertainty , 2009 .
[22] T. Hayat,et al. Parameter estimation for pseudo-linear systems using the auxiliary model and the decomposition technique , 2017 .
[23] Ling Xu,et al. Application of the Newton iteration algorithm to the parameter estimation for dynamical systems , 2015, J. Comput. Appl. Math..
[24] Brett Ninness,et al. On Gradient-Based Search for Multivariable System Estimates , 2008, IEEE Transactions on Automatic Control.
[25] F. Ding,et al. Coupled gradient algorithm for multivariable nonlinear systems , 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).
[26] Fei Liu,et al. Minimum variance unbiased FIR filter for discrete time-variant systems , 2015, Autom..
[27] B. Moor,et al. Subspace state space system identification for industrial processes , 1998 .
[28] Huiping Li,et al. On Neighbor Information Utilization in Distributed Receding Horizon Control for Consensus-Seeking , 2016, IEEE Transactions on Cybernetics.
[29] Biao Huang,et al. FIR model identification of multirate processes with random delays using EM algorithm , 2013 .
[30] Qingxia Li,et al. Array Factor Forming for Image Reconstruction of One-Dimensional Nonuniform Aperture Synthesis Radiometers , 2016, IEEE Geoscience and Remote Sensing Letters.
[31] F. Ding,et al. Convergence of the recursive identification algorithms for multivariate pseudo‐linear regressive systems , 2016 .
[32] Laurent Bako,et al. Parameterization and identification of multivariable state-space systems: A canonical approach , 2011, Autom..
[33] W. Zheng. Least-squares identification of a class of multivariable systems with correlated disturbances , 1999 .
[34] Feng Ding,et al. Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model , 2016, Autom..
[35] Feng Ding,et al. Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition , 2016, J. Comput. Appl. Math..
[36] Yu Zhu,et al. Stochastic gradient identification of Wiener system with maximum mutual information criterion , 2011 .
[37] Ruifeng Ding,et al. Data Filtering Based Stochastic Gradient Algorithms for Multivariable CARAR-Like Systems , 2013 .
[38] Feng Ding,et al. The recursive least squares identification algorithm for a class of Wiener nonlinear systems , 2016, J. Frankl. Inst..
[39] Feng Ding,et al. An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering , 2016, J. Frankl. Inst..
[40] Stéphane Lecoeuche,et al. Propagator-based methods for recursive subspace model identification , 2008, Signal Process..
[41] F. Ding,et al. Filtering-based iterative identification for multivariable systems , 2016 .
[42] Matija Fajdiga,et al. Parameter identification for a low-density-foam material model using numerical optimisation procedures , 2014 .
[43] Ling Xu,et al. The damping iterative parameter identification method for dynamical systems based on the sine signal measurement , 2016, Signal Process..
[44] Jian Pan,et al. Image noise smoothing using a modified Kalman filter , 2016, Neurocomputing.