Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition
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Feng Ding | Ximei Liu | Xingyun Ma | F. Ding | Ximei Liu | Xingyun Ma
[1] Tao Tang,et al. Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems , 2014, Appl. Math. Lett..
[2] Feng Ding,et al. Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle , 2014, Appl. Math. Comput..
[3] Feng Ding,et al. Highly Efficient Identification Methods for Dual-Rate Hammerstein Systems , 2015, IEEE Transactions on Control Systems Technology.
[4] Feng Ding,et al. Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems , 2015, J. Frankl. Inst..
[5] Mehdi Dehghan,et al. Finite iterative methods for solving systems of linear matrix equations over reflexive and anti-reflexive matrices , 2014 .
[6] Feng Ding,et al. Decomposition Based Newton Iterative Identification Method for a Hammerstein Nonlinear FIR System with ARMA Noise , 2014, Circuits Syst. Signal Process..
[7] Junhong Li,et al. Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration , 2013, Appl. Math. Lett..
[8] Tülay Adali,et al. Unbiased Recursive Least-Squares Estimation Utilizing Dichotomous Coordinate-Descent Iterations , 2014, IEEE Transactions on Signal Processing.
[9] Rik Pintelon,et al. Identification of a Wiener–Hammerstein system using the polynomial nonlinear state space approach , 2009 .
[10] Feng Ding,et al. Recursive parameter and state estimation for an input nonlinear state space system using the hierarchical identification principle , 2015, Signal Process..
[11] Masoud Hajarian,et al. Matrix iterative methods for solving the Sylvester-transpose and periodic Sylvester matrix equations , 2013, J. Frankl. Inst..
[12] Huazhen Fang,et al. Kalman filter-based identification for systems with randomly missing measurements in a network environment , 2010, Int. J. Control.
[13] Spilios D. Fassois,et al. Adaptable functional series TARMA models for non-stationary signal representation and their application to mechanical random vibration modeling , 2014, Signal Process..
[14] Feng Ding,et al. Transformations between some special matrices , 2010, Comput. Math. Appl..
[15] Jie Ding,et al. Modified Subspace Identification for Periodically Non-uniformly Sampled Systems by Using the Lifting Technique , 2013, Circuits, Systems, and Signal Processing.
[16] Mehdi Dehghan,et al. Two algorithms for finding the Hermitian reflexive and skew-Hermitian solutions of Sylvester matrix equations , 2011, Appl. Math. Lett..
[17] Hazem N. Nounou,et al. State and parameter estimation for nonlinear biological phenomena modeled by S-systems , 2014, Digit. Signal Process..
[18] Johan Schoukens,et al. Identification of systems with localised nonlinearity: From state-space to block-structured models , 2013, Autom..
[19] F. Ding,et al. Least squares algorithm for an input nonlinear system with a dynamic subspace state space model , 2014 .
[20] Bo Yu,et al. Robust mixed H2/H∞ control of networked control systems with random time delays in both forward and backward communication links , 2011, Autom..
[21] Ximei Liu,et al. New criteria for the robust impulsive synchronization of uncertain chaotic delayed nonlinear systems , 2014, Nonlinear Dynamics.
[22] Fernando Jiménez Torres,et al. Estimation of parameters of the shifted Gompertz distribution using least squares, maximum likelihood and moments methods , 2014, J. Comput. Appl. Math..
[23] Mehdi Dehghan,et al. Results concerning interval linear systems with multiple right-hand sides and the interval matrix equation AX=B , 2011, J. Comput. Appl. Math..
[24] Hao Shen,et al. Averaging complex subspaces via a Karcher mean approach , 2012, Signal Process..
[25] Feng Ding,et al. Gradient-Based Parameter Identification Algorithms for Observer Canonical State Space Systems Using State Estimates , 2015, Circuits Syst. Signal Process..
[26] Yuanbiao Hu,et al. Iterative and recursive least squares estimation algorithms for moving average systems , 2013, Simul. Model. Pract. Theory.
[27] Fatemeh Panjeh Ali Beik,et al. Preconditioned generalized mixed-type splitting iterative method for solving weighted least-squares problems† , 2014, Int. J. Comput. Math..
[28] M. Dehghan,et al. On the generalized reflexive and anti-reflexive solutions to a system of matrix equations , 2012 .
[29] Ling Xu,et al. The damping iterative parameter identification method for dynamical systems based on the sine signal measurement , 2016, Signal Process..
[30] Feng Ding,et al. Joint Estimation of States and Parameters for an Input Nonlinear State-Space System with Colored Noise Using the Filtering Technique , 2016, Circuits Syst. Signal Process..
[31] Ling Xu,et al. Application of the Newton iteration algorithm to the parameter estimation for dynamical systems , 2015, J. Comput. Appl. Math..
[32] Mehdi Dehghan,et al. A Generalized Preconditioned MHSS Method for a Class of Complex Symmetric Linear Systems , 2013 .
[33] Yan Ji,et al. Unified Synchronization Criteria for Hybrid Switching-Impulsive Dynamical Networks , 2015, Circuits Syst. Signal Process..
[34] Wei Zhang,et al. Improved least squares identification algorithm for multivariable Hammerstein systems , 2015, J. Frankl. Inst..
[35] Mehdi Dehghan,et al. Generalized solution sets of the interval generalized Sylvester matrix equation ∑i=1pAiXi + ∑j=1qYjBj = C and some approaches for inner and outer estimations , 2014, Comput. Math. Appl..
[36] Feng Ding,et al. Recursive least squares parameter identification algorithms for systems with colored noise using the filtering technique and the auxilary model , 2015, Digit. Signal Process..
[37] Joon-Hyuk Chang,et al. Shrinkage estimation-based source localization with minimum mean squared error criterion and minimum bias criterion , 2014, Digit. Signal Process..
[38] Dongqing Wang,et al. Recursive maximum likelihood identification method for a multivariable controlled autoregressive moving average system , 2016, IMA J. Math. Control. Inf..
[39] Feng Ding,et al. Computation of matrix exponentials of special matrices , 2013, Appl. Math. Comput..
[40] Ling Xu,et al. Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration , 2015 .
[41] Feng Ding,et al. Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition , 2016, Circuits Syst. Signal Process..
[42] Ling Xu,et al. A proportional differential control method for a time-delay system using the Taylor expansion approximation , 2014, Appl. Math. Comput..
[43] Mehdi Dehghan,et al. The interval Lyapunov matrix equation: Analytical results and an efficient numerical technique for outer estimation of the united solution set , 2012, Math. Comput. Model..
[44] Feng Ding,et al. Hierarchical gradient based and hierarchical least squares based iterative parameter identification for CARARMA systems , 2014, Signal Process..
[45] Jie Ding,et al. Auxiliary model based parameter estimation for dual-rate output error systems with colored noise ☆ , 2013 .