Feng Ding

Feng Ding's AcademicInfluence.com Rankings

Feng Ding

Mathematics

#4349

World Rank

#6198

Historical Rank

Applied Mathematics

#72

World Rank

#84

Historical Rank

Measure Theory

#344

World Rank

#516

Historical Rank

mathematics Degrees

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Mathematics

Feng Ding's Degrees

PhD Applied Mathematics University of California, Santa Cruz
Masters Applied Mathematics University of California, Santa Cruz
Bachelors Mathematics Peking University

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Feng Ding's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Gradient Based Iterative Algorithms for Solving a Class of Matrix Equations (2005) (448)
Iterative least-squares solutions of coupled Sylvester matrix equations (2005) (422)
Identification of Hammerstein nonlinear ARMAX systems (2005) (413)
On Iterative Solutions of General Coupled Matrix Equations (2006) (365)
Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle (2008) (360)
Identification methods for Hammerstein nonlinear systems (2011) (347)
Hierarchical gradient-based identification of multivariable discrete-time systems (2005) (338)
Performance analysis of multi-innovation gradient type identification methods (2007) (330)
Combined parameter and output estimation of dual-rate systems using an auxiliary model (2004) (310)
Parameter estimation with scarce measurements (2011) (269)
Auxiliary model-based least-squares identification methods for Hammerstein output-error systems (2007) (268)
Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems (2009) (266)
Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems (2010) (263)
Least squares based and gradient based iterative identification for Wiener nonlinear systems (2011) (258)
Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling (2013) (256)
Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle (2013) (255)
Gradient-based and least-squares-based iterative estimation algorithms for multi-input multi-output systems (2012) (250)
Coupled-least-squares identification for multivariable systems (2013) (245)
Combined state and least squares parameter estimation algorithms for dynamic systems (2014) (244)
An efficient hierarchical identification method for general dual-rate sampled-data systems (2014) (240)
Hierarchical least squares identification methods for multivariable systems (2005) (235)
Gradient based and least-squares based iterative identification methods for OE and OEMA systems (2010) (231)
Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data (2011) (226)
Hierarchical identification of lifted state-space models for general dual-rate systems (2005) (220)
Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model (2016) (217)
Several multi-innovation identification methods (2010) (210)
Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises (2009) (204)
State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors (2019) (202)
Two-stage least squares based iterative estimation algorithm for CARARMA system modeling ☆ (2013) (195)
Parameter estimation of dual-rate stochastic systems by using an output error method (2005) (194)
Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems (2008) (193)
Multiinnovation Least-Squares Identification for System Modeling (2010) (188)
Gradient based iterative solutions for general linear matrix equations (2009) (184)
Parameter Identification and Intersample Output Estimation for Dual-Rate Systems (2008) (179)
Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling (2017) (173)
Decomposition based fast least squares algorithm for output error systems (2013) (171)
Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering (2017) (171)
Two-stage Gradient-based Iterative Estimation Methods for Controlled Autoregressive Systems Using the Measurement Data (2020) (159)
Least‐squares parameter estimation for systems with irregularly missing data (2009) (158)
Multi-innovation stochastic gradient algorithms for multi-input multi-output systems (2009) (151)
Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle (2017) (150)
Partially‐coupled least squares based iterative parameter estimation for multi‐variable output‐error‐like autoregressive moving average systems (2019) (150)
Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems (2012) (147)
Recursive least squares parameter identification algorithms for systems with colored noise using the filtering technique and the auxilary model (2015) (145)
Gradient-Based Identification Methods for Hammerstein Nonlinear ARMAX Models (2006) (143)
A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation (2018) (143)
Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition (2016) (142)
Performance analysis of the generalised projection identification for time-varying systems (2016) (142)
Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data (2010) (141)
The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle (2019) (140)
State filtering and parameter estimation for state space systems with scarce measurements (2014) (140)
Self-tuning control based on multi-innovation stochastic gradient parameter estimation (2009) (140)
Highly computationally efficient state filter based on the delta operator (2019) (138)
A multi-innovation state and parameter estimation algorithm for a state space system with d-step state-delay (2017) (138)
Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis (2010) (137)
Recursive parameter identification of the dynamical models for bilinear state space systems (2017) (136)
Modelling and identification for non-uniformly periodically sampled-data systems (2010) (136)
Parameter estimation for pseudo-linear systems using the auxiliary model and the decomposition technique (2017) (133)
State filtering‐based least squares parameter estimation for bilinear systems using the hierarchical identification principle (2018) (131)
Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory (2019) (130)
Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model (2020) (130)
Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data (2005) (130)
Iterative solutions to matrix equations of the form AiXBi=Fi (2010) (128)
Hierarchical Least Squares Estimation Algorithm for Hammerstein–Wiener Systems (2012) (127)
Combined state and parameter estimation for a bilinear state space system with moving average noise (2018) (126)
Parameter estimation for control systems based on impulse responses (2017) (126)
Performance analysis of estimation algorithms of nonstationary ARMA processes (2006) (126)
Iterative Parameter Estimation for Signal Models Based on Measured Data (2018) (123)
Joint state and multi-innovation parameter estimation for time-delay linear systems and its convergence based on the Kalman filtering (2017) (122)
Hierarchical least-squares based iterative identification for multivariable systems with moving average noises (2010) (121)
An auxiliary model based on a recursive least-squares parameter estimation algorithm for non-uniformly sampled multirate systems (2009) (117)
Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems (2011) (116)
Iterative parameter identification for pseudo-linear systems with ARMA noise using the filtering technique (2018) (116)
Hierarchical parameter and state estimation for bilinear systems (2020) (115)
The recursive least squares identification algorithm for a class of Wiener nonlinear systems (2016) (114)
Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling (2007) (114)
Maximum likelihood least squares identification for systems with autoregressive moving average noise (2012) (113)
Performance analysis of the auxiliary models based multi-innovation stochastic gradient estimation algorithm for output error systems (2010) (113)
Brief Paper - Gradient-based iterative algorithm for a class of the coupled matrix equations related to control systems (2014) (112)
Filtering-based iterative identification for multivariable systems (2016) (110)
Highly Efficient Identification Methods for Dual-Rate Hammerstein Systems (2015) (110)
Bias compensation based recursive least-squares identification algorithm for MISO systems (2006) (108)
Recursive coupled projection algorithms for multivariable output-error-like systems with coloured noises (2020) (108)
Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems (2010) (108)
Recursive parameter estimation algorithm for multivariate output-error systems (2018) (108)
Hierarchical gradient based and hierarchical least squares based iterative parameter identification for CARARMA systems (2014) (107)
Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems (2010) (106)
Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle (2013) (105)
The innovation algorithms for multivariable state‐space models (2019) (104)
Least squares algorithm for an input nonlinear system with a dynamic subspace state space model (2014) (100)
Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals (2019) (100)
Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses (2018) (100)
Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems (2020) (100)
Input-output data filtering based recursive least squares identification for CARARMA systems (2010) (99)
Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique (2011) (99)
On the Kronecker Products and Their Applications (2013) (96)
Adaptive parameter estimation for a general dynamical system with unknown states (2020) (96)
Bias compensation‐based parameter estimation for output error moving average systems (2011) (95)
Multirate crosstalk identification in xDSL systems (2006) (94)
A modified stochastic gradient based parameter estimation algorithm for dual-rate sampled-data systems (2010) (93)
Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering (2016) (93)
Performance analysis of stochastic gradient algorithms under weak conditions (2008) (91)
Hierarchical recursive signal modeling for multifrequency signals based on discrete measured data (2021) (89)
Recursive parameter and state estimation for an input nonlinear state space system using the hierarchical identification principle (2015) (88)
Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle (2012) (88)
Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems (2019) (87)
Identification for multirate multi-input systems using the multi-innovation identification theory (2009) (87)
Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay (2013) (84)
Multi-innovation least squares identification methods based on the auxiliary model for MISO systems (2007) (83)
Modeling Nonlinear Processes Using the Radial Basis Function-Based State-Dependent Autoregressive Models (2020) (83)
Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models (2022) (82)
Parameter estimation algorithms for multivariable Hammerstein CARMA systems (2016) (81)
Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition (2016) (80)
Recasted models-based hierarchical extended stochastic gradient method for MIMO nonlinear systems (2017) (78)
Decomposition Based Newton Iterative Identification Method for a Hammerstein Nonlinear FIR System with ARMA Noise (2014) (78)
A property of the eigenvalues of the symmetric positive definite matrix and the iterative algorithm for coupled Sylvester matrix equations (2014) (76)
The auxiliary model based hierarchical gradient algorithms and convergence analysis using the filtering technique (2016) (75)
Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle (2014) (74)
Identification of dual-rate systems based on finite impulse response models (2004) (73)
A novel parameter separation based identification algorithm for Hammerstein systems (2016) (73)
States based iterative parameter estimation for a state space model with multi-state delays using decomposition (2015) (73)
Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems (2020) (73)
The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise (2017) (72)
An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering (2016) (72)
Hierarchical estimation algorithms for multivariable systems using measurement information (2014) (71)
The Gradient-Based Iterative Estimation Algorithms for Bilinear Systems with Autoregressive Noise (2017) (70)
New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering (2017) (70)
Multi-innovation stochastic gradient identification for Hammerstein controlled autoregressive autoregressive systems based on the filtering technique (2015) (70)
Convergence analysis of estimation algorithms for dual-rate stochastic systems (2006) (69)
Gradient-Based Iterative Parameter Estimation Algorithms for Dynamical Systems from Observation Data (2019) (68)
Hierarchical Estimation Approach for RBF-AR Models With Regression Weights Based on the Increasing Data Length (2021) (68)
Least squares based self‐tuning control of dual‐rate systems (2004) (67)
Variational Bayesian approach for ARX systems with missing observations and varying time-delays (2018) (67)
Some new results of designing an IIR filter with colored noise for signal processing (2018) (66)
2-Norm Based Recursive Design of Transmultiplexers with Designable Filter Length (2006) (65)
Auxiliary model identification method for multirate multi-input systems based on least squares (2009) (65)
Recursive parameter estimation and its convergence for bilinear systems (2020) (64)
Two-stage parameter estimation algorithms for Box-Jenkins systems (2013) (63)
Recursive least squares parameter estimation for non-uniformly sampled systems based on the data filtering (2011) (63)
A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering (2017) (63)
Partially‐coupled gradient‐based iterative algorithms for multivariable output‐error‐like systems with autoregressive moving average noises (2020) (63)
Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems (2012) (63)
Least-squares-based iterative and gradient-based iterative estimation algorithms for bilinear systems (2017) (62)
Filtering-Based Multistage Recursive Identification Algorithm for an Input Nonlinear Output-Error Autoregressive System by Using the Key Term Separation Technique (2017) (62)
Convergence of the recursive identification algorithms for multivariate pseudo‐linear regressive systems (2016) (62)
Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique (2018) (61)
The residual based extended least squares identification method for dual-rate systems (2008) (61)
Modified Gram–Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models (2019) (60)
Dynamic Task Assignment and Path Planning for Multi-AUV System in Variable Ocean Current Environment (2014) (60)
Optimal Adaptive Filtering Algorithm by Using the Fractional-Order Derivative (2022) (59)
Transformations between some special matrices (2010) (58)
Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise (2017) (58)
Recursive identification of bilinear time-delay systems through the redundant rule (2020) (57)
Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses (2021) (57)
Hierarchical Stochastic Gradient Algorithm and its Performance Analysis for a Class of Bilinear-in-Parameter Systems (2017) (56)
Iterative algorithms for X+ATX-1A=I by using the hierarchical identification principle (2016) (56)
Joint Multi-innovation Recursive Extended Least Squares Parameter and State Estimation for a Class of State-space Systems (2020) (55)
State filtering and parameter estimation for linear systems with d-step state-delay (2014) (55)
Maximum likelihood Newton recursive and the Newton iterative estimation algorithms for Hammerstein CARAR systems (2014) (53)
Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle (2013) (53)
A novel tracking control approach for unmanned underwater vehicles based on bio-inspired neurodynamics (2013) (53)
A finite-data-window least squares algorithm with a forgetting factor for dynamical modeling (2007) (52)
On consistency of recursive least squares identification algorithms for controlled auto-regression models ☆ (2008) (52)
Least Squares based Iterative Parameter Estimation Algorithm for Stochastic Dynamical Systems with ARMA Noise Using the Model Equivalence (2018) (51)
A filtering based multi-innovation gradient estimation algorithm and performance analysis for nonlinear dynamical systems (2017) (51)
Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation (2018) (51)
Newton iterative identification for a class of output nonlinear systems with moving average noises (2013) (51)
A GRADIENT BASED ADAPTIVE CONTROL ALGORITHM FOR DUAL‐RATE SYSTEMS (2006) (51)
Model order determination using the Hankel matrix of impulse responses (2011) (50)
Auxiliary Model-Based Recursive Generalized Least Squares Algorithm for Multivariate Output-Error Autoregressive Systems Using the Data Filtering (2018) (48)
Convergence properties of the least squares estimation algorithm for multivariable systems (2013) (48)
Identification of dual‐rate systems based on finite impulse response models (2004) (47)
Iterative estimation for a non-linear IIR filter with moving average noise by means of the data filtering technique (2017) (46)
Separable Synchronous Multi-Innovation Gradient-Based Iterative Signal Modeling From On-Line Measurements (2022) (45)
Filtering-Based Maximum Likelihood Gradient Iterative Estimation Algorithm for Bilinear Systems with Autoregressive Moving Average Noise (2018) (44)
Recursive Algorithms for Multivariable Output-Error-Like ARMA Systems (2019) (42)
Iterative estimation methods for Hammerstein controlled autoregressive moving average systems based on the key-term separation principle (2014) (41)
A novel data filtering based multi-innovation stochastic gradient algorithm for Hammerstein nonlinear systems (2015) (41)
Maximum Likelihood Recursive Identification for the Multivariate Equation-Error Autoregressive Moving Average Systems Using the Data Filtering (2019) (41)
Hierarchical Least Squares Identification for Hammerstein Nonlinear Controlled Autoregressive Systems (2015) (40)
Modeling a nonlinear process using the exponential autoregressive time series model (2018) (40)
Auxiliary model based least squares identification method for a state space model with a unit time-delay (2012) (38)
A New Iterative Least Squares Parameter Estimation Approach for Equation-error Autoregressive Systems (2020) (37)
Hierarchical multi‐innovation generalised extended stochastic gradient methods for multivariable equation‐error autoregressive moving average systems (2020) (37)
Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems (2014) (36)
Modified stochastic gradient identification algorithms with fast convergence rates (2011) (36)
Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation (2021) (35)
Separable Recursive Gradient Algorithm for Dynamical Systems Based on the Impulse Response Signals (2020) (35)
Parameter identification of multi-input, single-output systems based on FIR models and least squares principle (2008) (35)
Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems (2015) (35)
Joint Estimation of States and Parameters for an Input Nonlinear State-Space System with Colored Noise Using the Filtering Technique (2016) (34)
Gradient-based iterative identification method for multivariate equation-error autoregressive moving average systems using the decomposition technique (2019) (34)
Newton iterative identification method for an input nonlinear finite impulse response system with moving average noise using the key variables separation technique (2014) (34)
A Hierarchical Approach for Joint Parameter and State Estimation of a Bilinear System with Autoregressive Noise (2019) (33)
Maximum likelihood least squares‐based iterative methods for output‐error bilinear‐parameter models with colored noises (2020) (32)
Iterative solutions to matrix equations of form (2009) (31)
Recursive Parameter Estimation Algorithms and Convergence for a Class of Nonlinear Systems with Colored Noise (2016) (30)
The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems ☆ (2016) (30)
Parameter estimation for multirate multi-input systems using auxiliary model and multi-innovation (2010) (30)
Iterative Identification of Hammerstein Parameter Varying Systems With Parameter Uncertainties Based on the Variational Bayesian Approach (2020) (30)
Multi-step-length gradient iterative algorithm for equation-error type models (2018) (28)
Gradient-Based Particle Filter Algorithm for an ARX Model With Nonlinear Communication Output (2018) (27)
Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique (2016) (27)
Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems (2015) (26)
Modeling and Identification of Multirate Systems (2005) (26)
Parameter and state estimation algorithm for single-input single-output linear systems using the canonical state space models☆ (2012) (25)
Identification methods for time-delay systems based on the redundant rules (2017) (25)
Combined state and parameter estimation for Hammerstein systems with time delay using the Kalman filtering (2017) (25)
Adaptive RBF-AR Models Based on Multi-Innovation Least Squares Method (2019) (24)
Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle (2013) (24)
Adaptive filtering parameter estimation algorithms for Hammerstein nonlinear systems (2016) (24)
Iterative identification algorithms for input nonlinear output error autoregressive systems (2016) (23)
Partially coupled gradient estimation algorithm for multivariable equation‐error autoregressive moving average systems using the data filtering technique (2019) (23)
An iterative least squares estimation algorithm for controlled moving average systems based on matrix decomposition (2012) (23)
Parameter estimation for a multivariable state space system with d-step state-delay (2013) (23)
A neural network learning algorithm of chemical process modeling based on the extended Kalman filter (2007) (22)
Recursive Relations of the Cost Functions for the Least-Squares Algorithms for Multivariable Systems (2013) (22)
Extended Gradient-based Iterative Algorithm for Bilinear State-space Systems with Moving Average Noises by Using the Filtering Technique (2021) (22)
Identification of multi-input systems based on correlation techniques (2011) (21)
Convergence Analysis of the Hierarchical Least Squares Algorithm for Bilinear-in-Parameter Systems (2016) (21)
Decomposition-based least squares parameter estimation algorithm for input nonlinear systems using the key term separation technique (2015) (20)
Decomposition Least-Squares-Based Iterative Identification Algorithms for Multivariable Equation-Error Autoregressive Moving Average Systems (2019) (20)
Adaptive control of a class of nonlinear systems (1993) (20)
The residual-based ESG algorithm and its performance analysis (2010) (20)
Parameter estimation algorithms for Hammerstein time-delay systems based on the orthogonal matching pursuit scheme (2017) (20)
PARAMETER ESTIMATION FOR DUAL-RATE SYSTEMS WITH FINITE MEASUREMENT DATA 1 (2004) (20)
Interval Error Correction Auxiliary Model Based Gradient Iterative Algorithms for Multirate ARX Models (2020) (20)
Adaptive filtering‐based multi‐innovation gradient algorithm for input nonlinear systems with autoregressive noise (2017) (19)
Expectation maximization estimation algorithm for Hammerstein models with non-Gaussian noise and random time delay from dual-rate sampled-data (2018) (19)
Convergence of HLS estimation algorithms for multivariable ARX-like systems (2007) (19)
Data Filtering-Based Multi-innovation Stochastic Gradient Algorithm for Nonlinear Output Error Autoregressive Systems (2016) (19)
Parameter estimation algorithms of linear systems with time-delays based on the frequency responses and harmonic balances under the multi-frequency sinusoidal signal excitation (2021) (18)
Hierarchical least squares identification for feedback nonlinear equation-error systems (2020) (18)
Multi-Innovation Stochastic Gradient Identification Methods (2006) (18)
Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother (2018) (18)
Parameter identification and intersample output estimation of a class of dual-rate systems (2003) (17)
Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems (2019) (17)
Iterative identification methods for input nonlinear multivariable systems using the key-term separation principle (2015) (17)
Maximum likelihood gradient-based iterative estimation algorithm for a class of input nonlinear controlled autoregressive ARMA systems (2015) (16)
Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise (2020) (16)
Recursive Least Squares Identification Algorithms for Multiple-Input Nonlinear Box–Jenkins Systems Using the Maximum Likelihood Principle (2016) (15)
Recursive least squares identification for multirate multi-input single-output systems (2009) (15)
Model Equivalence-Based Identification Algorithm for Equation-Error Systems with Colored Noise (2015) (14)
Parameter estimation algorithm for multivariable controlled autoregressive autoregressive moving average systems (2018) (14)
The model equivalence based parameter estimation methods for Box-Jenkins systems (2015) (14)
Performance analysis of the generalized projection identification for time-varying systems (2016) (14)
Data filtering based multi-innovation extended gradient method for controlled autoregressive autoregressive moving average systems using the maximum likelihood principle (2017) (14)
Data filtering based least squares algorithms for multivariable CARAR-like systems (2013) (14)
Kalman filtering based gradient estimation algorithms for observer canonical state-space systems with moving average noises (2019) (14)
Moving data window-based partially-coupled estimation approach for modeling a dynamical system involving unmeasurable states. (2021) (13)
Combined state and multi-innovation parameter estimation for an input non-linear state-space system using the key term separation (2016) (13)
Parameter estimation for an input nonlinear state space system with time delay (2014) (13)
Gradient-Based Parameter Identification Algorithms for Observer Canonical State Space Systems Using State Estimates (2015) (13)
Signal modeling using the gradient search (2013) (13)
Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities (2016) (13)
Modified particle filtering‐based robust estimation for a networked control system corrupted by impulsive noise (2021) (12)
Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model (2012) (12)
Parameter Estimation Algorithms for Hammerstein–Wiener Systems With Autoregressive Moving Average Noise (2016) (12)
Maximum Likelihood Recursive Least Squares Estimation for Multivariable Systems (2014) (12)
Filtering-based recursive least-squares identification algorithm for controlled autoregressive moving average systems using the maximum likelihood principle (2015) (12)
Data Filtering Based Multi-innovation Gradient Identification Methods for Feedback Nonlinear Systems (2018) (12)
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 (2020) (11)
Data filtering based least squares iterative algorithm for parameter identification of output error autoregressive systems (2014) (11)
Maximum likelihood based recursive parameter estimation for controlled autoregressive ARMA systems using the data filtering technique (2015) (11)
Recursive Identification Methods for Multivariate Output-error Moving Average Systems Using the Auxiliary Model (2018) (11)
Gradient-based iterative identification methods for multivariate pseudo-linear moving average systems using the data filtering (2016) (11)
Three‐stage multi‐innovation parameter estimation for an exponential autoregressive time‐series model with moving average noise by using the data filtering technique (2020) (11)
Least squares based iterative algorithm for pseudo-linear autoregressive moving average systems using the data filtering technique (2015) (11)
Hierarchical extended least squares estimation approaches for a multi-input multi-output stochastic system with colored noise from observation data (2020) (10)
Hierarchical multi-innovation extended stochastic gradient algorithms for input nonlinear multivariable OEMA systems by the key-term separation principle (2016) (10)
Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling (2021) (10)
Recursive parameter and state estimation methods for observability canonical state‐space models exploiting the hierarchical identification principle (2019) (10)
The filtering based parameter identification for bilinear-in-parameter systems (2019) (10)
Moving data window gradient‐based iterative algorithm of combined parameter and state estimation for bilinear systems (2020) (10)
Computation of matrix exponentials of special matrices (2013) (10)
Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering (2018) (10)
Auxiliary Model-based Stochastic Gradient Algorithm for Multivariable Output Error Systems (2010) (9)
Inferential adaptive control for non-uniformly sampled-data systems (2011) (9)
Filtering based parameter estimation for observer canonical state space systems with colored noise (2017) (9)
Gradient‐based iterative parameter estimation for bilinear‐in‐parameter systems using the model decomposition technique (2018) (9)
Recursive Identification Algorithms for a Class of Linear Closed-loop Systems (2019) (9)
Iterative Identification Algorithms for Bilinear-in-parameter Systems by Using the Over-parameterization Model and the Decomposition (2018) (9)
Least Squares Identification for Hammerstein Multi-input Multi-output Systems Based on the Key-Term Separation Technique (2016) (9)
Iterative identification for multiple-input systems with time-delays based on greedy pursuit and auxiliary model (2019) (9)
Identification of non-uniformly sampled-data systems with asynchronous input and output data (2017) (9)
Coupled stochastic gradient identification algorithms for multivariate output-error systems using the auxiliary model (2017) (9)
Novel model of non-uniformly sampled-data systems based on a time-varying backward shift operator ☆ (2016) (8)
Fitting the exponential autoregressive model through recursive search (2019) (8)
Maximum likelihood gradient‐based iterative estimation for multivariable systems (2019) (8)
Recursive Identification of Errors-in-Variables Systems Based on the Correlation Analysis (2020) (8)
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) (8)
The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model (2018) (8)
The modified extended Kalman filter based recursive estimation for Wiener nonlinear systems with process noise and measurement noise (2020) (8)
Amendments to “Performance Analysis of Estimation Algorithms of Nonstationary ARMA Processes” [Mar 06 1041-1053] (2008) (8)
A novel identification method for Wiener systems with the limited information (2013) (8)
Maximum likelihood based identification methods for rational models (2019) (8)
Multi-innovation parameter estimation for Hammerstein MIMO output-error systems based on the key-term separation (2015) (8)
Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition (2016) (8)
Iterative Parameter Estimation Algorithms for Dual-Frequency Signal Models (2017) (7)
Parameter Estimation for Hammerstein Nonlinear Controlled Auto-Regression Models (2007) (7)
Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems (2017) (7)
Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise (2018) (7)
Identification of multivariable systems based on finite impulse response models with flexible orders (2005) (7)
Brief paper Hierarchical gradient-based identification of multivariable discrete-time systems (2005) (7)
Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation–Maximization Algorithm (2021) (7)
Maximum likelihood-based recursive least-squares estimation for multivariable systems using the data filtering technique (2019) (7)
Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems (2018) (7)
Bias Correction-Based Recursive Estimation for Dual-Rate Output-Error Systems with Sampling Noise (2020) (7)
Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory (2016) (7)
Combined estimation of the parameters and states for a multivariable state‐space system in presence of colored noise (2020) (7)
MULTI-INNOVATION IDENTIFICATION METHOD FOR TIME-VARYING SYSTEMS (1996) (7)
Joint Estimation of States and Parameters for an Input Nonlinear State-Space System with Colored Noise Using the Filtering Technique (2015) (6)
Auxiliary Model-based Stochastic Gradient Algorithm for Multivariable Output Error Systems: Auxiliary Model-based Stochastic Gradient Algorithm for Multivariable Output Error Systems (2010) (6)
Two-Stage Generalized Projection Identification Algorithms for Stochastic Systems (2018) (6)
Gradient‐based recursive parameter estimation for a periodically nonuniformly sampled‐data Hammerstein–Wiener system based on the key‐term separation (2021) (6)
Auxiliary model‐based iterative parameter estimation for a nonlinear output‐error system with saturation and dead‐zone nonlinearity (2021) (6)
Partially coupled extended stochastic gradient algorithm for nonlinear multivariable output error moving average systems (2017) (6)
Recursive Least-squares Estimation for Multivariable Systems Based on the Maximum Likelihood Principle (2020) (6)
Correlation Analysis-based Stochastic Gradient and Least Squares Identification Methods for Errors-in-variables Systems Using the Multiinnovation (2020) (6)
Identification methods of nonlinear systems based on the kernel functions (2021) (6)
Design of the PID controller for industrial processes based on the stability margin (2016) (6)
Recursive methods for estimating the radial basis function‐based state‐dependent autoregressive model (2020) (6)
Comparisons of stochastic gradient and least squares algorithms for multivariable systems (2010) (5)
Data filtering-based parameter and state estimation algorithms for state-space systems disturbed by coloured noises (2020) (5)
Convergence of forgetting factor least square algorithms (2001) (5)
Maximum Likelihood Multi-innovation Stochastic Gradient Estimation for Multivariate Equation-error Systems (2018) (5)
Author's reply to "comments on 'identification of Hammerstein nonlinear ARMAX systems'" (2007) (5)
Decomposition based recursive least squares parameter estimation for Hammerstein nonlinear controlled autoregressive systems (2013) (5)
A new identification algorithm for multi-input ARX systems (2005) (5)
Recursive least squares estimation methods for a class of nonlinear systems based on non‐uniform sampling (2021) (5)
Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique (2018) (5)
Decomposition-based Gradient Estimation Algorithms for Multivariable Equation-error Systems (2019) (5)
The Gradient-Based Iterative Estimation Algorithms for Bilinear Systems with Autoregressive Noise (2017) (5)
Separable gradient estimation algorithm for Hammerstein systems based on decompositions (2012) (5)
Novel input-output representation of general non-uniformly sampled-data systems (2016) (4)
Data Filtering Based Recursive Least Squares Parameter Estimation for ARMAX Models (2009) (4)
Maximum likelihood‐based adaptive differential evolution identification algorithm for multivariable systems in the state‐space form (2020) (4)
Parameter estimation of Markov‐switching Hammerstein systems using the variational Bayesian approach (2019) (4)
Generalized Yule-walker and two-stage identification algorithms for dual-rate systems (2006) (4)
Recursive search‐based identification algorithms for the exponential autoregressive time series model with coloured noise (2020) (4)
On the residual based stochastic gradient algorithm for dual-rate sampled-data systems using the polynomial transform technique (2009) (4)
Parameter fitting for nonlinear systems (2011) (4)
Crosstalk Identification in xDSL Systems with Unknown Model Orders (2007) (3)
Multi-innovation least squares parameter estimation algorithms for stochastic regression models (2008) (3)
Multi-innovation gradient identification for input nonlinear state space systems (2015) (3)
Distributed simultaneous state and parameter estimation of nonlinear systems (2022) (3)
Coupled Least Squares Identification Algorithms for Multivariate Output-Error Systems (2017) (3)
Two-stage multi-innovation stochastic gradient algorithm for multivariate output-error ARMA systems based on the auxiliary model (2019) (3)
Accelerated Gradient Descent Estimation for Rational Models by Using Volterra Series: Structure Identification and Parameter Estimation (2022) (3)
Improved least‐squares identification for multiple‐output non‐linear stochastic systems (2020) (3)
Two‐stage recursive identification algorithms for a class of nonlinear time series models with colored noise (2020) (3)
Hierarchical Least Squares Identification for Hammerstein Nonlinear Controlled Autoregressive Systems (2014) (3)
Least squares based iterative parameter estimation for output nonlinear systems with piece-wise nonlinearities (2011) (3)
Identification methods for Wiener nonlinear systems based on the least squares and gradient iterations (2009) (3)
On some parameter estimation algorithms for the nonlinear exponential autoregressive model (2019) (3)
Recursive identification for multivariate autoregressive equation-error systems with autoregressive noise (2018) (3)
A New Identification Algorithm for Multi-Input (2005) (3)
Two-stage Recursive Least Squares Parameter Estimation Algorithm for Multivariate Output-error Autoregressive Moving Average Systems (2019) (3)
Decomposition-Based Gradient Estimation Algorithms for Multivariate Equation-Error Autoregressive Systems Using the Multi-innovation Theory (2018) (3)
Parameter estimation for a special class of nonlinear systems by using the over-parameterisation method and the linear filter (2019) (3)
On iterative parameter estimation algorithms for OE and OEMA systems (2008) (2)
Two-stage iterative estimation algorithm for systems with colored noises using the data filtering (2012) (2)
Mean square convergence of multi-innovation forgetting gradient identification (2001) (2)
Iterative solutions for general coupled matrix equations with real coefficients (2011) (2)
Data filtering‐based recursive identification for an exponential autoregressive moving average model by using the multi‐innovation theory (2020) (2)
Multi-Innovation Gradient Parameter Estimation Based Adaptive Control for Discrete-Time Systems (2007) (2)
Identification methods of Hammerstein nonelinear CARAR systems (2010) (2)
Data filtering based recursive least squares estimation algorithm for a class of Wiener nonlinear systems (2014) (2)
Multi-innovation gradient parameter estimation algorithms for closed-loop Hammerstein nonlinear systems (2017) (2)
The robust multi‐innovation estimation algorithm for Hammerstein non‐linear systems with non‐Gaussian noise (2021) (2)
Least squares identification of non-stationary MA systems (2005) (2)
Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises (2021) (2)
Decomposition based recursive identification algorithms for bilinear-parameter models (2014) (2)
Three‐stage least squares‐based iterative estimation algorithms for bilinear state‐space systems based on the bilinear state estimator (2020) (2)
The parameter identification method for the over-damping system based on the Newton iteration (2017) (2)
A new parameter estimation algorithm for non-uniformly multirate sampled-data systems (2011) (2)
Bias compensation based parameter estimation for dual-rate sampled-data systems (2011) (2)
Decomposition based least squares estimation algorithm for non-uniformly sampled multirate systems (2009) (2)
Identification of stochastic systems with colored noise by the model equivalence theory (2016) (2)
Parameter Identification for Input Nonlinear Output-Error Systems Using the Unknown Variable Estimation (2007) (2)
Gradient-based iterative parameter identification for multi-input multi-output OEMA-like models (2011) (2)
Parameter estimation algorithms for missing-data systems (2009) (2)
Filtering based least squares parameter estimation algorithms for Hammerstein nonlinear CARMA systems (2017) (2)
Multi-innovation stochastic gradient algorithm for output error systems based on the auxiliary model (2009) (2)
On iterative solutions of a class of matrix equations in systems and control (2004) (2)
Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition (2015) (2)
Recursive parameter identification of the dynamical models for bilinear state space systems (2017) (2)
Least-squares based iterative parameter estimation for two-input multirate sampled-data systems (2009) (2)
Hierarchical least squares parameter estimation algorithms for dual-rate sampled-data systems (2008) (2)
Adaptive control of dual-rate systems based on least squares methods (2004) (2)
Data filtering based parameter estimation algorithms for multivariable Box-Jenkins-like systems (2015) (2)
Parameter estimation for time‐delay systems based on the frequency responses and harmonic balance methods (2020) (2)
Hierarchical Identification Principle and a Family of Iterative Methods (2006) (1)
Recursive Estimation Method for Bilinear Systems by Using the Hierarchical Identification Principle (2019) (1)
Gradient based estimation methods for a class of nonlinear systems with colored noises (2008) (1)
Auxiliary Model-Based Recursive Generalized Least Squares Algorithm for Multivariate Output-Error Autoregressive Systems Using the Data Filtering (2018) (1)
Iterative least-squares solutions of coupled Sylvester (2004) (1)
Filtering-Based Maximum Likelihood Gradient Iterative Estimation Algorithm for Bilinear Systems with Autoregressive Moving Average Noise (2018) (1)
Two-Stage Least Squares based Iterative Identification Algorithm for Box-Jenkins Model (2014) (1)
Hierarchical least squares identification and its convergence for large scale multivariable systems (2002) (1)
Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window (2020) (1)
Multi-innovation extended stochastic gradient algorithm for multi-input multi-output controlled autoregressive moving average systems by using the filtering technique (2016) (1)
Recursive generalized extended least squares method and its application in a power plant (1992) (1)
Partially coupled gradient-based iterative identification methods for multivariable output-error moving average systems (2016) (1)
Convergence analysis of forgetting gradient algorithm by using martingale hyperconvergence theorem (2000) (1)
Filtering based multi-innovation stochastic gradient identification algorithm for multivariable nonlinear equation-error autoregressive systems (2016) (1)
Identification of the nonlinear systems based on the kernel functions (2021) (1)
Aitken-based Acceleration Estimation Algorithms for a Nonlinear Model with Exponential Terms by Using the Decomposition (2021) (1)
Maximum likelihood gradient identification for multivariate equation‐error moving average systems using the multi‐innovation theory (2019) (1)
The adaptive damping iterative parameter estimation algorithm for dynamical systems (2016) (1)
Filtering based recursive least squares identification for non-uniformly sampled systems (2010) (1)
Data Filtering-Based Multi-innovation Stochastic Gradient Algorithm for Nonlinear Output Error Autoregressive Systems (2015) (1)
Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory (2020) (1)
On consistency of stochastic gradient algorithms for ARMAX models with disturbances (2005) (1)
Multi‐innovation gradient estimation algorithms for multivariate equation‐error autoregressive moving average systems based on the filtering technique (2019) (1)
The Bias Compensation Based Parameter and State Estimation for Observability Canonical State-Space Models with Colored Noise (2018) (1)
Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle (2012) (1)
Identification of Hammerstein MIMO systems using the key-term separation principle (2014) (1)
Gradient-based iterative parameter estimation for Box-Jenkins systems with finite measurement data (2009) (1)
Newton iterative identification for a class of output nonlinear systems with moving average noises (2013) (1)
Time series AR model parameter estimation with missing observation data (2008) (1)
Filtering based multi-stage recursive least squares parameter estimation algorithm for input nonlinear output-error autoregressive systems (2016) (1)
Maximum likelihood based multi-innovation stochastic gradient estimation for controlled autoregressive ARMA systems using the data filtering technique (2014) (1)
Least Squares Identification for Hammerstein Multi-input Multi-output Systems Based on the Key-Term Separation Technique (2015) (1)
On consistency of multi-innovation extended stochastic gradient algorithms with colored noises (2008) (1)
Recursive least squares algorithm and stochastic gradient algorithm for feedback nonlinear equation-error systems (2019) (1)
Multi‐innovation Newton recursive methods for solving the support vector machine regression problems (2021) (1)
Parameter identification method for process control systems based on the Newton iteration (2017) (1)
Coupled gradient algorithm for multivariable nonlinear systems (2015) (1)
AM-ESG estimation algorithms for a class of systems with colored noises (2008) (1)
Newton iterative identification method for an input nonlinear finite impulse response system with moving average noise using the key variables separation technique (2014) (1)
Iterative state and parameter estimation algorithms for bilinear state-space systems by using the block matrix inversion and the hierarchical principle (2021) (1)
Interactive Identification Method for Box-Jenkins Models (2010) (1)
Four-Point Algebraic Estimation Method for First-Order Systems via Sine Responses (2019) (1)
HLS parameter estimation for multi-input multi-output systems (2008) (1)
Applications of Methods of Numerical Linear Algebra in Engineering (2014) (0)
Two-Stage Generalized Projection Identification Algorithms for Stochastic Systems (2018) (0)
Stochastic gradient parameter estimation of input nonlinear systems using the filtering technique (2011) (0)
Particle filter-based algorithm of simultaneous output and parameter estimation for output nonlinear systems under low measurement rate constraints (2021) (0)
The multi-innovation stochastic gradient method for multi-frequency signal models (2018) (0)
The Improved Multi-Innovation Parameter Estimation Algorithms for the Sine Signal Modeling with the Single-Frequency (2018) (0)
Performance analysis of the recursive extended least squares method for multivariable systems with moving average noises (2013) (0)
Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay (2012) (0)
AM-GESG identification algorithms for general stochastic systems (2008) (0)
Convenient parameter estimation approaches for process control systems with time-delay via step responses (2020) (0)
Maximum Likelihood Recursive Least Squares Estimation for Multivariable Systems (2014) (0)
Hierarchical stochastic gradient parameter estimation algorithms for multivariable systems with colored noises (2009) (0)
Iterative Identification of Discrete-Time Systems With Bilinear Forms in the Presence of Colored Noises Based on the Hierarchical Principle (2019) (0)
A Fast and Efficient Parameter Estimation Algorithm for Generalized Output Error Models (2014) (0)
Multi-innovation gradient estimation algorithms and convergence analysis for feedback nonlinear equation-error moving average systems (2022) (0)
Decomposition-based least squares parameter estimation algorithm for input nonlinear systems using the key term separation technique (2014) (0)
Improved leastâ•’squares identification for multipleâ•’output nonâ•’linear stochastic systems (2020) (0)
Recursive Relations of the Cost Functions for the Least-Squares Algorithms for Multivariable Systems (2012) (0)
Data filtering and auxiliary model based recursive least squares estimation algorithm for OEMA systems (2011) (0)
Auxiliary model based multi-innovation stochastic gradient identification for multirate multi-input systems (2010) (0)
Efficient Iterative Algorithms for a Class of Nonlinear Systems using the Block Matrix Inversion and Hierarchical Principle (2021) (0)
Hierarchical Stochastic Gradient Algorithm and its Performance Analysis for a Class of Bilinear-in-Parameter Systems (2016) (0)
Stochastic gradient identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering (2018) (0)
Hierarchical least squares identification for periodically and non-uniformly sampled multirate systems (2010) (0)
Auxiliary models based multi-innovation gradient identification with colored measurement noises (2009) (0)
Convergence Analysis of the Hierarchical Least Squares Algorithm for Bilinear-in-Parameter Systems (2016) (0)
Bias Correction-Based Recursive Estimation for Dual-Rate Output-Error Systems with Sampling Noise (2020) (0)
System parameter identification with missing outputs (2006) (0)
Gradient-based iterative solutions for general matrix equations (2009) (0)
Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory (2021) (0)
Tuning method of proportional differential controller for delay-time system based on polynomial approximation (2014) (0)
Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle (2013) (0)
Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling (2016) (0)
Least squares based iterative parameter estimation algorithms for multivariate autoregressive moving average systems using the decomposition (2016) (0)
Least Squares based Iterative Parameter Estimation Algorithm for Stochastic Dynamical Systems with ARMA Noise Using the Model Equivalence (2018) (0)
Convergence analysis of MISG algorithms for MIMO systems (2008) (0)
On the residual based LS parameter estimation algorithm for dual-rate systems (2008) (0)
Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory (2019) (0)
Two-stage extended recursive gradient algorithm for locally linear RBF-based autoregressive models with colored noises. (2022) (0)
Maximum Likelihood Recursive Extended Least Squares Estimation for Multivariate Equation-Error Moving Average Systems (2018) (0)
Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition (2015) (0)
Gradient-Based Parameter Identification Algorithms for Observer Canonical State Space Systems Using State Estimates (2014) (0)
Self-tuning control of dual-rate systems with input nonlinearities (2009) (0)
Partially-Coupled Recursive Least Squares Algorithm for Multivariate Systems Based on the Model Transformation (2019) (0)
Parameter estimation for a multi‐input multi‐output state‐space system with unmeasurable states through the data filtering technique (2020) (0)
Highly computationally efficient parameter estimation algorithms for a class of nonlinear multivariable systems by utilizing the state estimates (2023) (0)
Least squares algorithm for an input nonlinear system with a dynamic subspace state space model (2013) (0)
Recursive Parameter Estimation Algorithms and Convergence for a Class of Nonlinear Systems with Colored Noise (2015) (0)
An Iterative Algorithm for Dual-Frequency Signals With Unknown Frequencies and Amplitudes (2018) (0)
Gradient-based iterative identification methods for multivariate pseudo-linear moving average systems using the data filtering (2016) (0)

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Jiangnan University
Qingdao University of Science and Technology
King Abdulaziz University
Hubei University of Technology

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