Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems

[1]  Dinghui Wu,et al.  Fault diagnosis of variable pitch for wind turbines based on the multi-innovation forgetting gradient identification algorithm , 2015 .

[2]  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..

[3]  Feng Ding,et al.  States based iterative parameter estimation for a state space model with multi-state delays using decomposition , 2015, Signal Process..

[4]  Baolin Liu,et al.  A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems , 2014, Appl. Math. Comput..

[5]  Feng Ding,et al.  State filtering and parameter estimation for state space systems with scarce measurements , 2014, Signal Process..

[6]  Feng Ding,et al.  Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems , 2014, J. Frankl. Inst..

[7]  Feng Ding,et al.  Hierarchical estimation algorithms for multivariable systems using measurement information , 2014, Inf. Sci..

[8]  Feng Ding,et al.  State filtering and parameter estimation for linear systems with d-step state-delay , 2014, IET Signal Process..

[9]  Simon X. Yang,et al.  A Bioinspired Filtered Backstepping Tracking Control of 7000-m Manned Submarine Vehicle , 2014, IEEE Transactions on Industrial Electronics.

[10]  Ai-Guo Wu,et al.  Bias compensation-based recursive least-squares estimation with forgetting factors for output error moving average systems , 2014, IET Signal Process..

[11]  Jie Ding,et al.  Modified Subspace Identification for Periodically Non-uniformly Sampled Systems by Using the Lifting Technique , 2013, Circuits, Systems, and Signal Processing.

[12]  Tao Tang,et al.  Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique , 2014 .

[13]  Jun-an Lu,et al.  Topology identification of complex networks from noisy time series using ROC curve analysis , 2014 .

[14]  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..

[15]  Feng Ding,et al.  An efficient hierarchical identification method for general dual-rate sampled-data systems , 2014, Autom..

[16]  Guangjun Liu,et al.  Identification of Hammerstein systems using key-term separation principle, auxiliary model and improved particle swarm optimisation algorithm , 2013, IET Signal Process..

[17]  Baolin Liu,et al.  Recursive Extended Least Squares Parameter Estimation for Wiener Nonlinear Systems with Moving Average Noises , 2013, Circuits, Systems, and Signal Processing.

[18]  Hu Yuanbiao.  Iterative and recursive least squares estimation algorithms for moving average systems , 2013 .

[19]  Feng Ding,et al.  Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay , 2013, Circuits Syst. Signal Process..

[20]  Jie Ding,et al.  Auxiliary model based parameter estimation for dual-rate output error systems with colored noise ☆ , 2013 .

[21]  Simon X. Yang,et al.  Dynamic Task Assignment and Path Planning of Multi-AUV System Based on an Improved Self-Organizing Map and Velocity Synthesis Method in Three-Dimensional Underwater Workspace , 2013, IEEE Transactions on Cybernetics.

[22]  Huizhong Yang,et al.  Interactive parameter estimation for output error moving average systems , 2013 .

[23]  Huiping Li,et al.  Robust H∞ filtering for nonlinear stochastic systems with uncertainties and Markov delays , 2012, Autom..

[24]  Qian Liu,et al.  Fault-tolerant control algorithm of the manned submarine with multi-thruster based on quantum-behaved particle swarm optimisation , 2011, Int. J. Control.

[25]  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..

[26]  Kang Li,et al.  Convergence of the iterative algorithm for a general Hammerstein system identification , 2010, Autom..

[27]  Jing Chen,et al.  Multi-innovation Generalized Extended Stochastic Gradient Algorithm for Multi-Input Multi-Output Nonlinear Box-Jenkins Systems Based on the Auxiliary Model , 2010, LSMS/ICSEE.

[28]  Feng Ding,et al.  Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data , 2010, Digit. Signal Process..

[29]  Feng Ding,et al.  Performance analysis of the auxiliary models based multi-innovation stochastic gradient estimation algorithm for output error systems , 2010, Digit. Signal Process..

[30]  Feng Ding,et al.  Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis , 2010, Circuits Syst. Signal Process..

[31]  Jing Lu,et al.  Least squares based iterative identification for a class of multirate systems , 2010, Autom..

[32]  Feng Ding,et al.  Multi-innovation stochastic gradient algorithms for multi-input multi-output systems , 2009, Digit. Signal Process..

[33]  Li Xie,et al.  The residual based interactive stochastic gradient algorithms for controlled moving average models , 2009, Appl. Math. Comput..

[34]  David J. Wagg,et al.  Nonlinear dynamic response and modeling of a bi-stable composite plate for applications to adaptive structures , 2009 .

[35]  Feng Ding,et al.  Self-tuning control based on multi-innovation stochastic gradient parameter estimation , 2009, Syst. Control. Lett..

[36]  Jozef Vörös,et al.  Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities , 2007, Syst. Control. Lett..

[37]  Er-Wei Bai,et al.  Iterative identification of Hammerstein systems , 2007, Autom..

[38]  Y. Hui.  Bias Compensation Recursive Least Squares Identification for Output Error Systems with Colored Noises , 2007 .

[39]  Feng Ding,et al.  Performance analysis of multi-innovation gradient type identification methods , 2007, Autom..

[40]  Jozef Vörös,et al.  Recursive identification of Hammerstein systems with discontinuous nonlinearities containing dead-zones , 2003, IEEE Trans. Autom. Control..

[41]  Yves Rolain,et al.  Box-Jenkins continuous-time modeling , 2000, Autom..

[42]  L. Ljung,et al.  Identification of unstable systems using output error and Box-Jenkins model structures , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[43]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .