Feng Ding
Orcid: 0000-0003-0227-0445Affiliations:
- Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry, Wuxi, China
- Southern Yangtze University, Control Science and Engineering Research Center, Wuxi, China (former)
- University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada (2002 - 2005)
- Tsinghua University, Department of Automation, Beijing, China (PhD 1994)
According to our database1,
Feng Ding
authored at least 271 papers
between 2003 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Parameter estimation method for separable fractional-order Hammerstein nonlinear systems based on the on-line measurements.
Appl. Math. Comput., 2025
2024
Gradient-Based Recursive Parameter Estimation Methods for a Class of Time-Varying Systems from Noisy Observations.
Circuits Syst. Signal Process., November, 2024
Online Parameter Optimization Scheme for the Kernel Function-Based Mixture Models Disturbed by Colored Noises.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2024
Convergence analysis of a synchronous gradient estimation scheme for time-varying parameter systems.
J. Comput. Appl. Math., June, 2024
Adaptive Multi-Innovation Gradient Identification Algorithms for a Controlled Autoregressive Autoregressive Moving Average Model.
Circuits Syst. Signal Process., June, 2024
Auxiliary model-based hierarchical stochastic gradient methods for multiple-input multiple-output systems.
J. Comput. Appl. Math., May, 2024
Hierarchical Gradient-Based Iterative Parameter Estimation Algorithms for a Nonlinear Feedback System Based on the Hierarchical Identification Principle.
Circuits Syst. Signal Process., January, 2024
Novel parameter estimation method for the systems with colored noises by using the filtering identification idea.
Syst. Control. Lett., 2024
Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises.
Syst. Control. Lett., 2024
Recursive identification methods for general stochastic systems with colored noises by using the hierarchical identification principle and the filtering identification idea.
Annu. Rev. Control., 2024
Optimal Concurrent Estimation Method with Initial Value Search for Polynomial Kernel-Based Nonlinear Observer Canonical Models.
Proceedings of the European Control Conference, 2024
2023
Iterative parameter identification algorithms for transformed dynamic rational fraction input-output systems.
J. Comput. Appl. Math., December, 2023
Separable synthesis gradient estimation methods and convergence analysis for multivariable systems.
J. Comput. Appl. Math., August, 2023
Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data.
J. Comput. Appl. Math., July, 2023
Online Network-Based Identification and its Application in Satellite Attitude Control Systems.
IEEE Trans. Aerosp. Electron. Syst., June, 2023
Parameter Estimation Methods of Linear Continuous-Time Time-Delay Systems from Multi-frequency Response Data.
Circuits Syst. Signal Process., June, 2023
IEEE Signal Process. Lett., 2023
2022
Separable Synchronous Multi-Innovation Gradient-Based Iterative Signal Modeling From On-Line Measurements.
IEEE Trans. Instrum. Meas., 2022
A Novel Three-Stage Quality Oriented Data-Driven Nonlinear Industrial Process Monitoring Strategy.
IEEE Trans. Instrum. Meas., 2022
Synchronous Optimization Schemes for Dynamic Systems Through the Kernel-Based Nonlinear Observer Canonical Form.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Ind. Electron., 2022
Accelerated Gradient Descent Estimation for Rational Models by Using Volterra Series: Structure Identification and Parameter Estimation.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
IEEE Signal Process. Lett., 2022
Joint Parameter and Time-Delay Estimation for a Class of Nonlinear Time-Series Models.
IEEE Signal Process. Lett., 2022
IEEE Signal Process. Lett., 2022
Multi-innovation gradient estimation algorithms and convergence analysis for feedback nonlinear equation-error moving average systems.
J. Frankl. Inst., 2022
CoRR, 2022
Expectation-maximization algorithm for bilinear systems by using the Rauch-Tung-Striebel smoother.
Autom., 2022
Adaptive regularised kernel-based identification method for large-scale systems with unknown order.
Autom., 2022
Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models.
Appl. Math. Comput., 2022
2021
Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation-Maximization Algorithm.
IEEE Trans. Ind. Informatics, 2021
Hierarchical Estimation Approach for RBF-AR Models With Regression Weights Based on the Increasing Data Length.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Parameter estimation algorithms of linear systems with time-delays based on the frequency responses and harmonic balances under the multi-frequency sinusoidal signal excitation.
Signal Process., 2021
Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises.
J. Frankl. Inst., 2021
Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation.
J. Frankl. Inst., 2021
Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses.
Int. J. Syst. Sci., 2021
Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory.
Int. J. Syst. Sci., 2021
2020
Iterative Identification of Hammerstein Parameter Varying Systems With Parameter Uncertainties Based on the Variational Bayesian Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Gradient-Based Particle Filter Algorithm for an ARX Model With Nonlinear Communication Output.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Interval Error Correction Auxiliary Model Based Gradient Iterative Algorithms for Multirate ARX Models.
IEEE Trans. Autom. Control., 2020
Modeling Nonlinear Processes Using the Radial Basis Function-Based State-Dependent Autoregressive Models.
IEEE Signal Process. Lett., 2020
J. Frankl. Inst., 2020
Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window.
J. Frankl. Inst., 2020
Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise.
J. Frankl. Inst., 2020
Hierarchical extended least squares estimation approaches for a multi-input multi-output stochastic system with colored noise from observation data.
J. Frankl. Inst., 2020
The filtering based auxiliary model generalized extended stochastic gradient identification for a multivariate output-error system with autoregressive moving average noise using the multi-innovation theory.
J. Frankl. Inst., 2020
Hierarchical least squares identification for feedback nonlinear equation-error systems.
J. Frankl. Inst., 2020
Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model.
J. Comput. Appl. Math., 2020
Int. J. Syst. Sci., 2020
Data filtering-based parameter and state estimation algorithms for state-space systems disturbed by coloured noises.
Int. J. Syst. Sci., 2020
Recursive coupled projection algorithms for multivariable output-error-like systems with coloured noises.
IET Signal Process., 2020
Bias Correction-Based Recursive Estimation for Dual-Rate Output-Error Systems with Sampling Noise.
Circuits Syst. Signal Process., 2020
Recursive Identification of Errors-in-Variables Systems Based on the Correlation Analysis.
Circuits Syst. Signal Process., 2020
2019
Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models.
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Signal Process. Lett., 2019
Iterative identification for multiple-input systems with time-delays based on greedy pursuit and auxiliary model.
J. Frankl. Inst., 2019
J. Frankl. Inst., 2019
J. Frankl. Inst., 2019
Gradient-based iterative identification method for multivariate equation-error autoregressive moving average systems using the decomposition technique.
J. Frankl. Inst., 2019
Kalman filtering based gradient estimation algorithms for observer canonical state-space systems with moving average noises.
J. Frankl. Inst., 2019
Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses.
Int. J. Syst. Sci., 2019
Maximum likelihood-based recursive least-squares estimation for multivariable systems using the data filtering technique.
Int. J. Syst. Sci., 2019
Two-stage multi-innovation stochastic gradient algorithm for multivariate output-error ARMA systems based on the auxiliary model.
Int. J. Syst. Sci., 2019
Int. J. Syst. Sci., 2019
Parameter estimation for a special class of nonlinear systems by using the over-parameterisation method and the linear filter.
Int. J. Syst. Sci., 2019
Recursive least squares algorithm and stochastic gradient algorithm for feedback nonlinear equation-error systems.
Int. J. Model. Identif. Control., 2019
Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory.
Circuits Syst. Signal Process., 2019
Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals.
Circuits Syst. Signal Process., 2019
Auxiliary Model-Based Recursive Generalized Least Squares Algorithm for Multivariate Output-Error Autoregressive Systems Using the Data Filtering.
Circuits Syst. Signal Process., 2019
Circuits Syst. Signal Process., 2019
Maximum Likelihood Recursive Identification for the Multivariate Equation-Error Autoregressive Moving Average Systems Using the Data Filtering.
IEEE Access, 2019
Partially-Coupled Recursive Least Squares Algorithm for Multivariate Systems Based on the Model Transformation.
IEEE Access, 2019
2018
Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother.
Signal Process., 2018
Syst. Control. Lett., 2018
Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering.
Multidimens. Syst. Signal Process., 2018
The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model.
Multidimens. Syst. Signal Process., 2018
Combined state and parameter estimation for a bilinear state space system with moving average noise.
J. Frankl. Inst., 2018
J. Frankl. Inst., 2018
Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems.
J. Frankl. Inst., 2018
Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique.
J. Frankl. Inst., 2018
Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise.
J. Frankl. Inst., 2018
A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation.
J. Frankl. Inst., 2018
Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation.
Int. J. Syst. Sci., 2018
Recursive identification for multivariate autoregressive equation-error systems with autoregressive noise.
Int. J. Syst. Sci., 2018
Taking advantage of multi-regions-based diagonal texture structure descriptor for image retrieval.
Expert Syst. Appl., 2018
Some new results of designing an IIR filter with colored noise for signal processing.
Digit. Signal Process., 2018
Expectation maximization estimation algorithm for Hammerstein models with non-Gaussian noise and random time delay from dual-rate sampled-data.
Digit. Signal Process., 2018
Parameter estimation algorithm for multivariable controlled autoregressive autoregressive moving average systems.
Digit. Signal Process., 2018
Circuits Syst. Signal Process., 2018
Decomposition-Based Gradient Estimation Algorithms for Multivariate Equation-Error Autoregressive Systems Using the Multi-innovation Theory.
Circuits Syst. Signal Process., 2018
Filtering-Based Maximum Likelihood Gradient Iterative Estimation Algorithm for Bilinear Systems with Autoregressive Moving Average Noise.
Circuits Syst. Signal Process., 2018
Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique.
Complex., 2018
Soil moisture regulation of agro-hydrological systems using zone model predictive control.
Comput. Electron. Agric., 2018
Variational Bayesian approach for ARX systems with missing observations and varying time-delays.
Autom., 2018
The Bias Compensation Based Parameter and State Estimation for Observability Canonical State-Space Models with Colored Noise.
Algorithms, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
A multi-innovation state and parameter estimation algorithm for a state space system with d-step state-delay.
Signal Process., 2017
Signal Process., 2017
Data filtering based multi-innovation extended gradient method for controlled autoregressive autoregressive moving average systems using the maximum likelihood principle.
Math. Comput. Simul., 2017
Identification of non-uniformly sampled-data systems with asynchronous input and output data.
J. Frankl. Inst., 2017
Filtering based parameter estimation for observer canonical state space systems with colored noise.
J. Frankl. Inst., 2017
New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering.
J. Frankl. Inst., 2017
The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise.
J. Frankl. Inst., 2017
Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise.
J. Frankl. Inst., 2017
Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering.
J. Frankl. Inst., 2017
A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering.
J. Frankl. Inst., 2017
Iterative estimation for a non-linear IIR filter with moving average noise by means of the data filtering technique.
IMA J. Math. Control. Inf., 2017
Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle.
IET Signal Process., 2017
Parameter estimation algorithms for Hammerstein time-delay systems based on the orthogonal matching pursuit scheme.
IET Signal Process., 2017
Joint state and multi-innovation parameter estimation for time-delay linear systems and its convergence based on the Kalman filtering.
Digit. Signal Process., 2017
Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling.
Circuits Syst. Signal Process., 2017
Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems.
Circuits Syst. Signal Process., 2017
Filtering-Based Multistage Recursive Identification Algorithm for an Input Nonlinear Output-Error Autoregressive System by Using the Key Term Separation Technique.
Circuits Syst. Signal Process., 2017
The Gradient-Based Iterative Estimation Algorithms for Bilinear Systems with Autoregressive Noise.
Circuits Syst. Signal Process., 2017
Circuits Syst. Signal Process., 2017
Algorithms, 2017
Coupled Least Squares Identification Algorithms for Multivariate Output-Error Systems.
Algorithms, 2017
Multi-innovation gradient parameter estimation algorithms for closed-loop Hammerstein nonlinear systems.
Proceedings of the 2017 American Control Conference, 2017
Filtering based least squares parameter estimation algorithms for Hammerstein nonlinear CARMA systems.
Proceedings of the 2017 American Control Conference, 2017
2016
The auxiliary model based hierarchical gradient algorithms and convergence analysis using the filtering technique.
Signal Process., 2016
Adaptive filtering parameter estimation algorithms for Hammerstein nonlinear systems.
Signal Process., 2016
Iterative algorithms for <i>X</i>+<i>A</i><sup>T</sup><i>X</i><sup>-1</sup><i>A</i>=<i>I</i> by using the hierarchical identification principle.
J. Frankl. Inst., 2016
Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities.
J. Frankl. Inst., 2016
The recursive least squares identification algorithm for a class of Wiener nonlinear systems.
J. Frankl. Inst., 2016
An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering.
J. Frankl. Inst., 2016
Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition.
J. Comput. Appl. Math., 2016
Inf. Sci., 2016
Partially coupled gradient-based iterative identification methods for multivariable output-error moving average systems.
Int. J. Model. Identif. Control., 2016
Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory.
Int. J. Comput. Math., 2016
Convergence Analysis of the Hierarchical Least Squares Algorithm for Bilinear-in-Parameter Systems.
Circuits Syst. Signal Process., 2016
Recursive Parameter Estimation Algorithms and Convergence for a Class of Nonlinear Systems with Colored Noise.
Circuits Syst. Signal Process., 2016
Joint Estimation of States and Parameters for an Input Nonlinear State-Space System with Colored Noise Using the Filtering Technique.
Circuits Syst. Signal Process., 2016
Least Squares Identification for Hammerstein Multi-input Multi-output Systems Based on the Key-Term Separation Technique.
Circuits Syst. Signal Process., 2016
Data Filtering-Based Multi-innovation Stochastic Gradient Algorithm for Nonlinear Output Error Autoregressive Systems.
Circuits Syst. Signal Process., 2016
Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition.
Circuits Syst. Signal Process., 2016
Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model.
Autom., 2016
Appl. Math. Lett., 2016
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
Multi-innovation extended stochastic gradient algorithm for multi-input multi-output controlled autoregressive moving average systems by using the filtering technique.
Proceedings of the 2016 American Control Conference, 2016
2015
IEEE Trans. Control. Syst. Technol., 2015
Recursive parameter and state estimation for an input nonlinear state space system using the hierarchical identification principle.
Signal Process., 2015
States based iterative parameter estimation for a state space model with multi-state delays using decomposition.
Signal Process., 2015
Iterative identification methods for input nonlinear multivariable systems using the key-term separation principle.
J. Frankl. Inst., 2015
Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems.
J. Frankl. Inst., 2015
Least squares based iterative algorithm for pseudo-linear autoregressive moving average systems using the data filtering technique.
J. Frankl. Inst., 2015
J. Frankl. Inst., 2015
Maximum likelihood based recursive parameter estimation for controlled autoregressive ARMA systems using the data filtering technique.
J. Frankl. Inst., 2015
A novel data filtering based multi-innovation stochastic gradient algorithm for Hammerstein nonlinear systems.
Digit. Signal Process., 2015
Recursive least squares parameter identification algorithms for systems with colored noise using the filtering technique and the auxilary model.
Digit. Signal Process., 2015
Gradient-Based Parameter Identification Algorithms for Observer Canonical State Space Systems Using State Estimates.
Circuits Syst. Signal Process., 2015
Hierarchical Least Squares Identification for Hammerstein Nonlinear Controlled Autoregressive Systems.
Circuits Syst. Signal Process., 2015
Model Equivalence-Based Identification Algorithm for Equation-Error Systems with Colored Noise.
Algorithms, 2015
2014
Hierarchical gradient based and hierarchical least squares based iterative parameter identification for CARARMA systems.
Signal Process., 2014
State filtering and parameter estimation for state space systems with scarce measurements.
Signal Process., 2014
Dynamic Task Assignment and Path Planning for Multi-AUV System in Variable Ocean Current Environment.
J. Intell. Robotic Syst., 2014
A property of the eigenvalues of the symmetric positive definite matrix and the iterative algorithm for coupled Sylvester matrix equations.
J. Frankl. Inst., 2014
Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems.
J. Frankl. Inst., 2014
J. Frankl. Inst., 2014
Hierarchical estimation algorithms for multivariable systems using measurement information.
Inf. Sci., 2014
Data filtering based least squares iterative algorithm for parameter identification of output error autoregressive systems.
Inf. Process. Lett., 2014
State filtering and parameter estimation for linear systems with <i>d</i>-step state-delay.
IET Signal Process., 2014
Circuits Syst. Signal Process., 2014
Decomposition Based Newton Iterative Identification Method for a Hammerstein Nonlinear FIR System with ARMA Noise.
Circuits Syst. Signal Process., 2014
An efficient hierarchical identification method for general dual-rate sampled-data systems.
Autom., 2014
Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle.
Appl. Math. Comput., 2014
2013
Signal Process., 2013
Math. Comput. Model., 2013
Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle.
J. Frankl. Inst., 2013
Parameter estimation for a multivariable state space system with <i>d</i>-step state-delay.
J. Frankl. Inst., 2013
Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle.
Inf. Sci., 2013
IET Signal Process., 2013
Recursive Relations of the Cost Functions for the Least-Squares Algorithms for Multivariable Systems.
Circuits Syst. Signal Process., 2013
Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay.
Circuits Syst. Signal Process., 2013
Decomposition based recursive least squares parameter estimation for Hammerstein nonlinear controlled autoregressive systems.
Proceedings of the American Control Conference, 2013
2012
IEEE Signal Process. Lett., 2012
Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model.
Math. Comput. Simul., 2012
Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems.
Math. Comput. Model., 2012
Gradient-based and least-squares-based iterative estimation algorithms for multi-input multi-output systems.
J. Syst. Control. Eng., 2012
Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems.
Int. J. Comput. Math., 2012
Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle.
Circuits Syst. Signal Process., 2012
An iterative least squares estimation algorithm for controlled moving average systems based on matrix decomposition.
Appl. Math. Lett., 2012
Separable gradient estimation algorithm for Hammerstein systems based on decompositions.
Proceedings of the American Control Conference, 2012
2011
Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data.
IEEE Trans. Autom. Control., 2011
Least squares based and gradient based iterative identification for Wiener nonlinear systems.
Signal Process., 2011
Recursive least squares parameter estimation for non-uniformly sampled systems based on the data filtering.
Math. Comput. Model., 2011
Int. J. Syst. Sci., 2011
Digit. Signal Process., 2011
Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems.
Comput. Math. Appl., 2011
Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique.
Comput. Math. Appl., 2011
Appl. Math. Lett., 2011
Gradient-based iterative parameter identification for multi-input multi-output OEMA-like models.
Proceedings of the American Control Conference, 2011
Proceedings of the American Control Conference, 2011
Proceedings of the American Control Conference, 2011
A new parameter estimation algorithm for non-uniformly multirate sampled-data systems.
Proceedings of the American Control Conference, 2011
2010
IEEE Trans. Syst. Man Cybern. Part B, 2010
Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems.
IEEE Trans. Autom. Control., 2010
Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems.
Math. Comput. Model., 2010
Hierarchical least-squares based iterative identification for multivariable systems with moving average noises.
Math. Comput. Model., 2010
J. Frankl. Inst., 2010
Input-output data filtering based recursive least squares identification for CARARMA systems.
Digit. Signal Process., 2010
Performance analysis of the auxiliary models based multi-innovation stochastic gradient estimation algorithm for output error systems.
Digit. Signal Process., 2010
Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data.
Digit. Signal Process., 2010
A modified stochastic gradient based parameter estimation algorithm for dual-rate sampled-data systems.
Digit. Signal Process., 2010
Gradient based and least-squares based iterative identification methods for OE and OEMA systems.
Digit. Signal Process., 2010
Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis.
Circuits Syst. Signal Process., 2010
Comput. Math. Appl., 2010
Iterative solutions to matrix equations of the form A<sub>i</sub>XB<sub>i</sub>=F<sub>i</sub>.
Comput. Math. Appl., 2010
2009
Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises.
Signal Process., 2009
Self-tuning control based on multi-innovation stochastic gradient parameter estimation.
Syst. Control. Lett., 2009
Auxiliary model identification method for multirate multi-input systems based on least squares.
Math. Comput. Model., 2009
Multi-innovation stochastic gradient algorithms for multi-input multi-output systems.
Digit. Signal Process., 2009
Comput. Math. Appl., 2009
Identification for multirate multi-input systems using the multi-innovation identification theory.
Comput. Math. Appl., 2009
Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems.
Autom., 2009
Auxiliary models based multi-innovation gradient identification with colored measurement noises.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009
Gradient-based iterative parameter estimation for Box-Jenkins systems with finite measurement data.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Identification methods for Wiener nonlinear systems based on the least squares and gradient iterations.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Decomposition based least squares estimation algorithm for non-uniformly sampled multirate systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Proceedings of the American Control Conference, 2009
Proceedings of the American Control Conference, 2009
Multi-innovation stochastic gradient algorithm for output error systems based on the auxiliary model.
Proceedings of the American Control Conference, 2009
Least-squares based iterative parameter estimation for two-input multirate sampled-data systems.
Proceedings of the American Control Conference, 2009
On the residual based stochastic gradient algorithm for dual-rate sampled-data systems using the polynomial transform technique.
Proceedings of the American Control Conference, 2009
Recursive least squares identification for multirate multi-input single-output systems.
Proceedings of the American Control Conference, 2009
Hierarchical stochastic gradient parameter estimation algorithms for multivariable systems with colored noises.
Proceedings of the American Control Conference, 2009
Proceedings of the American Control Conference, 2009
2008
Amendments to "Performance Analysis of Estimation Algorithms of Nonstationary ARMA Processes" [Mar 06 1041-1053].
IEEE Trans. Signal Process., 2008
IEEE Trans. Syst. Man Cybern. Part A, 2008
Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems.
Comput. Math. Appl., 2008
The residual based extended least squares identification method for dual-rate systems.
Comput. Math. Appl., 2008
Sci. China Ser. F Inf. Sci., 2008
Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle.
Appl. Math. Comput., 2008
Parameter identification of multi-input, single-output systems based on FIR models and least squares principle.
Appl. Math. Comput., 2008
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
2007
Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling.
SIAM J. Control. Optim., 2007
Auxiliary model-based least-squares identification methods for Hammerstein output-error systems.
Syst. Control. Lett., 2007
A neural network learning algorithm of chemical process modeling based on the extended Kalman filter.
Neurocomputing, 2007
Author's reply to "comments on 'identification of Hammerstein nonlinear ARMAX systems'".
Autom., 2007
Autom., 2007
Appl. Math. Comput., 2007
A finite-data-window least squares algorithm with a forgetting factor for dynamical modeling.
Appl. Math. Comput., 2007
Multi-innovation least squares identification methods based on the auxiliary model for MISO systems.
Appl. Math. Comput., 2007
2006
IEEE Trans. Signal Process., 2006
Bias compensation based recursive least-squares identification algorithm for MISO systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2006
SIAM J. Control. Optim., 2006
Appl. Math. Comput., 2006
The Forgetting Gradient Algorithm for Parameter and Intersample Estimation of Dual-Rate Systems.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
Hierarchical identification of lifted state-space models for general dual-rate systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
Parameter estimation of dual-rate stochastic systems by using an output error method.
IEEE Trans. Autom. Control., 2005
IEEE Trans. Autom. Control., 2005
IEEE Trans. Autom. Control., 2005
Syst. Control. Lett., 2005
Autom., 2005
A New Smooth Support Vector Regression Based on epsilon-Insensitive Logistic Loss Function.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the American Control Conference, 2005
Proceedings of the American Control Conference, 2005
2004
Combined parameter and output estimation of dual-rate systems using an auxiliary model.
Autom., 2004
Proceedings of the 2004 American Control Conference, 2004
Proceedings of the 2004 American Control Conference, 2004
2003
Parameter identification and intersample output estimation of a class of dual-rate systems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003