Feng Ding

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 144

Top Venues

J. Frankl. Inst.

Circuits Syst. Signal Process.

Int. J. Syst. Sci.

Signal Process.

Publications

Dan Yang, Yanjun Liu, Feng Ding, Erfu Yang
Hierarchical Gradient-Based Iterative Parameter Estimation Algorithms for a Nonlinear Feedback System Based on the Hierarchical Identification Principle. Circuits Syst. Signal Process. 43 (1) (2024)
Ning Xu, Feng Ding, Ling Xu
Convergence analysis of a synchronous gradient estimation scheme for time-varying parameter systems. J. Comput. Appl. Math. 443 (2024)
Haoming Xing, Feng Ding, Feng Pan
Auxiliary model-based hierarchical stochastic gradient methods for multiple-input multiple-output systems. J. Comput. Appl. Math. 442 (2024)
Shunyuan Sun, Ling Xu, Feng Ding
Parameter Estimation Methods of Linear Continuous-Time Time-Delay Systems from Multi-frequency Response Data. Circuits Syst. Signal Process. 42 (6) (2023)
Yihong Zhou, Keck Voon Ling, Feng Ding, Yuandong Hu
Online Network-Based Identification and its Application in Satellite Attitude Control Systems. IEEE Trans. Aerosp. Electron. Syst. 59 (3) (2023)
Guangqin Miao, Feng Ding, Qinyao Liu, Erfu Yang
Iterative parameter identification algorithms for transformed dynamic rational fraction input-output systems. J. Comput. Appl. Math. 434 (2023)
Xiaojing Ping, Xiaoli Luan, Shunyi Zhao, Feng Ding, Fei Liu
Parameters-Transfer Identification for Dynamic Systems and Recursive Form. IEEE Signal Process. Lett. 30 (2023)
Feng Ding
Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data. J. Comput. Appl. Math. 426 (2023)
Jing Chen, Yawen Mao, Min Gan, Feng Ding
Adaptive regularised kernel-based identification method for large-scale systems with unknown order. Autom. 143 (2022)
Ling Xu, Feng Ding, Quanmin Zhu
Separable Synchronous Multi-Innovation Gradient-Based Iterative Signal Modeling From On-Line Measurements. IEEE Trans. Instrum. Meas. 71 (2022)
Jimei Li, Feng Ding
Fitting Nonlinear Signal Models Using the Increasing-Data Criterion. IEEE Signal Process. Lett. 29 (2022)
Yihong Zhou, Xiao Zhang, Feng Ding
Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models. Appl. Math. Comput. 414 (2022)
Jimei Li, Feng Ding
Synchronous Optimization Schemes for Dynamic Systems Through the Kernel-Based Nonlinear Observer Canonical Form. IEEE Trans. Instrum. Meas. 71 (2022)
Huan Xu, Feng Ding, Benoît Champagne
Joint Parameter and Time-Delay Estimation for a Class of Nonlinear Time-Series Models. IEEE Signal Process. Lett. 29 (2022)
Jing Chen, Feng Ding, Manfeng Hu, Quanmin Zhu
Accelerated Gradient Descent Estimation for Rational Models by Using Volterra Series: Structure Identification and Parameter Estimation. IEEE Trans. Circuits Syst. II Express Briefs 69 (3) (2022)
Siyu Liu, Xiao Zhang, Ling Xu, Feng Ding
Expectation-maximization algorithm for bilinear systems by using the Rauch-Tung-Striebel smoother. Autom. 142 (2022)
Siyu Liu, Xunyuan Yin, Jinfeng Liu, Feng Ding
Distributed simultaneous state and parameter estimation of nonlinear systems. CoRR (2022)
Hao Ma, Yan Wang, Zhicheng Ji, Feng Ding
A Novel Three-Stage Quality Oriented Data-Driven Nonlinear Industrial Process Monitoring Strategy. IEEE Trans. Instrum. Meas. 71 (2022)
Jiaxin Xiong, Jian Pan, Guangyi Chen, Xiao Zhang, Feng Ding
Sliding Mode Dual-Channel Disturbance Rejection Attitude Control for a Quadrotor. IEEE Trans. Ind. Electron. 69 (10) (2022)
Chun Wei, Yanjun Liu, Feng Ding
Multi-innovation gradient estimation algorithms and convergence analysis for feedback nonlinear equation-error moving average systems. J. Frankl. Inst. 359 (17) (2022)
Xiao Zhang, Feng Ding
Optimal Adaptive Filtering Algorithm by Using the Fractional-Order Derivative. IEEE Signal Process. Lett. 29 (2022)
Huan Xu, Feng Ding, Min Gan, Ahmed Alsaedi, Tasawar Hayat
Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory. Int. J. Syst. Sci. 52 (12) (2021)
Jing Chen, Biao Huang, Feng Ding
Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation-Maximization Algorithm. IEEE Trans. Ind. Informatics 17 (8) (2021)
Yihong Zhou, Xiao Zhang, Feng Ding
Hierarchical Estimation Approach for RBF-AR Models With Regression Weights Based on the Increasing Data Length. IEEE Trans. Circuits Syst. II Express Briefs 68 (12) (2021)
Ling Xu, Feng Ding, Quanmin Zhu
Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses. Int. J. Syst. Sci. 52 (9) (2021)
Feng Ding, Hao Ma, Jian Pan, Erfu Yang
Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation. J. Frankl. Inst. 358 (9) (2021)
Yihong Zhou, Yanjiao Wang, Fengying Ma, Feng Ding, Tasawar Hayat
Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises. J. Frankl. Inst. 358 (4) (2021)
Jiayao Ni, Yanliang Zhang, Feng Ding, Xi-Sheng Zhan, Tasawar Hayat
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. 181 (2021)
Feng Ding, Xiao Zhang, Xian Lu, Xi-Sheng Zhan, Ahmed Alsaedi, Tasawar Hayat
Hierarchical extended least squares estimation approaches for a multi-input multi-output stochastic system with colored noise from observation data. J. Frankl. Inst. 357 (15) (2020)
Jing Chen, Feng Ding, Quanmin Zhu, Yanjun Liu
Interval Error Correction Auxiliary Model Based Gradient Iterative Algorithms for Multirate ARX Models. IEEE Trans. Autom. Control. 65 (10) (2020)
Ting Cui, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Data filtering-based parameter and state estimation algorithms for state-space systems disturbed by coloured noises. Int. J. Syst. Sci. 51 (9) (2020)
Jian Pan, Hao Ma, Xiao Zhang, Qinyao Liu, Feng Ding, Yufang Chang, Jie Sheng
Recursive coupled projection algorithms for multivariable output-error-like systems with coloured noises. IET Signal Process. 14 (7) (2020)
Feng Ding, Lijuan Wan, Yunze Guo, Feiyan Chen
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. 357 (9) (2020)
Xiao Zhang, Feng Ding
Hierarchical parameter and state estimation for bilinear systems. Int. J. Syst. Sci. 51 (2) (2020)
Siyu Liu, Li Xie, Ling Xu, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window. J. Frankl. Inst. 357 (15) (2020)
Jing Chen, Yanjun Liu, Feng Ding, Quanmin Zhu
Gradient-Based Particle Filter Algorithm for an ARX Model With Nonlinear Communication Output. IEEE Trans. Syst. Man Cybern. Syst. 50 (6) (2020)
Feng Ding, Ximei Liu, Tasawar Hayat
Hierarchical least squares identification for feedback nonlinear equation-error systems. J. Frankl. Inst. 357 (5) (2020)
Shujun Fan, Feng Ding, Tasawar Hayat
Recursive Identification of Errors-in-Variables Systems Based on the Correlation Analysis. Circuits Syst. Signal Process. 39 (12) (2020)
Xiao Zhang, Qinyao Liu, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Recursive identification of bilinear time-delay systems through the redundant rule. J. Frankl. Inst. 357 (1) (2020)
Yihong Zhou, Feng Ding
Modeling Nonlinear Processes Using the Radial Basis Function-Based State-Dependent Autoregressive Models. IEEE Signal Process. Lett. 27 (2020)
Lijuan Liu, Haibo Liu, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise. J. Frankl. Inst. 357 (9) (2020)
Feng Ding, Ling Xu, Dandan Meng, Xue-bo Jin, Ahmed Alsaedi, Tasawar Hayat
Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model. J. Comput. Appl. Math. 369 (2020)
Junxia Ma, Biao Huang, Feng Ding
Iterative Identification of Hammerstein Parameter Varying Systems With Parameter Uncertainties Based on the Variational Bayesian Approach. IEEE Trans. Syst. Man Cybern. Syst. 50 (3) (2020)
Guang-Yong Chen, Min Gan, Feng Ding, C. L. Philip Chen
Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models. IEEE Trans. Neural Networks Learn. Syst. 30 (8) (2019)
Huafeng Xia, Yongqing Yang, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Maximum likelihood-based recursive least-squares estimation for multivariable systems using the data filtering technique. Int. J. Syst. Sci. 50 (6) (2019)
Qinyao Liu, Feng Ding
Auxiliary Model-Based Recursive Generalized Least Squares Algorithm for Multivariate Output-Error Autoregressive Systems Using the Data Filtering. Circuits Syst. Signal Process. 38 (2) (2019)
Yuanbiao Hu, Qin Zhou, Hao Yu, Zheng Zhou, Feng Ding
Two-Stage Generalized Projection Identification Algorithms for Stochastic Systems. Circuits Syst. Signal Process. 38 (6) (2019)
Qinyao Liu, Feng Ding, Quanmin Zhu, Tasawar Hayat
Two-stage multi-innovation stochastic gradient algorithm for multivariate output-error ARMA systems based on the auxiliary model. Int. J. Syst. Sci. 50 (15) (2019)
Lijuan Liu, Feng Ding, Ling Xu, Jian Pan, Ahmed Alsaedi, Tasawar Hayat
Maximum Likelihood Recursive Identification for the Multivariate Equation-Error Autoregressive Moving Average Systems Using the Data Filtering. IEEE Access 7 (2019)
Siyu Liu, Feng Ding, Ling Xu, Tasawar Hayat
Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals. Circuits Syst. Signal Process. 38 (7) (2019)
Junyao You, Yanjun Liu, Jing Chen, Feng Ding
Iterative identification for multiple-input systems with time-delays based on greedy pursuit and auxiliary model. J. Frankl. Inst. 356 (11) (2019)
Guanglei Song, Ling Xu, Feng Ding
Recursive least squares algorithm and stochastic gradient algorithm for feedback nonlinear equation-error systems. Int. J. Model. Identif. Control. 32 (3/4) (2019)
Zhengwei Ge, Feng Ding, Ling Xu, Ahmed Alsaedi, Tasawar Hayat
Gradient-based iterative identification method for multivariate equation-error autoregressive moving average systems using the decomposition technique. J. Frankl. Inst. 356 (3) (2019)
Ting Cui, Feng Ding, Xiangli Li, Tasawar Hayat
Kalman filtering based gradient estimation algorithms for observer canonical state-space systems with moving average noises. J. Frankl. Inst. 356 (10) (2019)
Qinyao Liu, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Partially-Coupled Recursive Least Squares Algorithm for Multivariate Systems Based on the Model Transformation. IEEE Access 7 (2019)
Ling Xu, Feng Ding, Quanmin Zhu
Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses. Int. J. Syst. Sci. 50 (1) (2019)
Min Gan, Xiao-Xian Chen, Feng Ding, Guang-Yong Chen, C. L. Philip Chen
Adaptive RBF-AR Models Based on Multi-Innovation Least Squares Method. IEEE Signal Process. Lett. 26 (8) (2019)
Jing Chen, Feng Ding, Quanmin Zhu, Yanjun Liu
Maximum likelihood based identification methods for rational models. Int. J. Syst. Sci. 50 (14) (2019)
Lijuan Wan, Feng Ding
Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory. Circuits Syst. Signal Process. 38 (7) (2019)
Mengting Chen, Feng Ding, Rongming Lin, Ahmed Alsaedi, Tasawar Hayat
Parameter estimation for a special class of nonlinear systems by using the over-parameterisation method and the linear filter. Int. J. Syst. Sci. 50 (9) (2019)
Huan Xu, Lijuan Wan, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Fitting the exponential autoregressive model through recursive search. J. Frankl. Inst. 356 (11) (2019)
Xuehai Wang, Feng Ding
The filtering based parameter identification for bilinear-in-parameter systems. J. Frankl. Inst. 356 (1) (2019)
Jing Chen, Feng Ding, Yanjun Liu, Quanmin Zhu
Multi-step-length gradient iterative algorithm for equation-error type models. Syst. Control. Lett. 115 (2018)
Jian Pan, Hao Ma, Xiao Jiang, Wenfang Ding, Feng Ding
Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique. Complex. 2018 (2018)
Yanjiao Wang, Feng Ding, Minhu Wu
Recursive parameter estimation algorithm for multivariate output-error systems. J. Frankl. Inst. 355 (12) (2018)
Lijuan Liu, Yan Wang, Cheng Wang, Feng Ding, Tasawar Hayat
Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems. J. Frankl. Inst. 355 (15) (2018)
Junxia Ma, Jing Chen, Weili Xiong, Feng Ding
Expectation maximization estimation algorithm for Hammerstein models with non-Gaussian noise and random time delay from dual-rate sampled-data. Digit. Signal Process. 73 (2018)
Ping Ma, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Decomposition-Based Gradient Estimation Algorithms for Multivariate Equation-Error Autoregressive Systems Using the Multi-innovation Theory. Circuits Syst. Signal Process. 37 (5) (2018)
Ling Xu, Feng Ding
Iterative Parameter Estimation for Signal Models Based on Measured Data. Circuits Syst. Signal Process. 37 (7) (2018)
Ping Ma, Feng Ding, Quanmin Zhu
Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation. Int. J. Syst. Sci. 49 (5) (2018)
Qinyao Liu, Feng Ding, Yan Wang, Cheng Wang, Tasawar Hayat
Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique. J. Frankl. Inst. 355 (15) (2018)
Xiao Zhang, Ling Xu, Feng Ding, Tasawar Hayat
Combined state and parameter estimation for a bilinear state space system with moving average noise. J. Frankl. Inst. 355 (6) (2018)
Ping Ma, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering. Multidimens. Syst. Signal Process. 29 (3) (2018)
Yanjiao Wang, Feng Ding, Ling Xu
Some new results of designing an IIR filter with colored noise for signal processing. Digit. Signal Process. 72 (2018)
Feiyan Chen, Feng Ding, Ling Xu, Tasawar Hayat
Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise. J. Frankl. Inst. 355 (7) (2018)
Qinyao Liu, Feng Ding, Erfu Yang
Parameter estimation algorithm for multivariable controlled autoregressive autoregressive moving average systems. Digit. Signal Process. 83 (2018)
Yawen Mao, Su Liu, Jannatun Nahar, Jinfeng Liu, Feng Ding
Soil moisture regulation of agro-hydrological systems using zone model predictive control. Comput. Electron. Agric. 154 (2018)
Junxia Ma, Ouyang Wu, Biao Huang, Feng Ding
Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother. Signal Process. 145 (2018)
Wei Song, Yubing Zhang, Fei Liu, Zhilei Chai, Feng Ding, Xuezhong Qian, Soon Cheol Park
Taking advantage of multi-regions-based diagonal texture structure descriptor for image retrieval. Expert Syst. Appl. 96 (2018)
Feng Ding, Huibo Chen, Ling Xu, Jiyang Dai, Qishen Li, Tasawar Hayat
A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation. J. Frankl. Inst. 355 (8) (2018)
Ling Xu, Feng Ding, Yanjiao Wang, Li Xie, Junhong Li
The multi-innovation stochastic gradient method for multi-frequency signal models. ACC (2018)
Meihang Li, Ximei Liu, Feng Ding
Filtering-Based Maximum Likelihood Gradient Iterative Estimation Algorithm for Bilinear Systems with Autoregressive Moving Average Noise. Circuits Syst. Signal Process. 37 (11) (2018)
Lijuan Liu, Feng Ding, Quanmin Zhu
Recursive identification for multivariate autoregressive equation-error systems with autoregressive noise. Int. J. Syst. Sci. 49 (13) (2018)
Xuehai Wang, Feng Ding, Qingsheng Liu, Chuntao Jiang
The Bias Compensation Based Parameter and State Estimation for Observability Canonical State-Space Models with Colored Noise. Algorithms 11 (11) (2018)
Jing Chen, Biao Huang, Feng Ding, Ya Gu
Variational Bayesian approach for ARX systems with missing observations and varying time-delays. Autom. 94 (2018)
Qinyao Liu, Feng Ding
The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model. Multidimens. Syst. Signal Process. 29 (4) (2018)
Ling Xu, Bingbing Shen, Feng Ding, Dongqing Wang
Multi-innovation gradient parameter estimation algorithms for closed-loop Hammerstein nonlinear systems. ACC (2017)
Xuehai Wang, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Filtering based parameter estimation for observer canonical state space systems with colored noise. J. Frankl. Inst. 354 (1) (2017)
Junxia Ma, Feng Ding
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. 36 (2) (2017)
Feiyan Chen, Feng Ding, Ahmed Alsaedi, Tasawar Hayat
Data filtering based multi-innovation extended gradient method for controlled autoregressive autoregressive moving average systems using the maximum likelihood principle. Math. Comput. Simul. 132 (2017)
Li Xie, Huizhong Yang, Feng Ding
Identification of non-uniformly sampled-data systems with asynchronous input and output data. J. Frankl. Inst. 354 (4) (2017)
Siyu Liu, Ling Xu, Feng Ding
Iterative Parameter Estimation Algorithms for Dual-Frequency Signal Models. Algorithms 10 (4) (2017)
Yawen Mao, Feng Ding, Jian Pan, Wenfang Ding, Xiangkui Wan
Filtering based least squares parameter estimation algorithms for Hammerstein nonlinear CARMA systems. ACC (2017)
Mengting Chen, Feng Ding, Ling Xu, Tasawar Hayat, Ahmed Alsaedi
Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise. J. Frankl. Inst. 354 (17) (2017)
Yanjiao Wang, Feng Ding
Iterative estimation for a non-linear IIR filter with moving average noise by means of the data filtering technique. IMA J. Math. Control. Inf. 34 (3) (2017)
Ling Xu, Feng Ding
Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle. IET Signal Process. 11 (2) (2017)
Yawen Mao, Feng Ding, Yanjun Liu
Parameter estimation algorithms for Hammerstein time-delay systems based on the orthogonal matching pursuit scheme. IET Signal Process. 11 (3) (2017)
Feng Ding, Xuehai Wang, Li Mao, Ling Xu
Joint state and multi-innovation parameter estimation for time-delay linear systems and its convergence based on the Kalman filtering. Digit. Signal Process. 62 (2017)
Feng Ding, Yanjiao Wang, Jiyang Dai, Qishen Li, Qijia Chen
A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering. J. Frankl. Inst. 354 (15) (2017)
Jing Chen, Junxia Ma, Yanjun Liu, Feng Ding
Identification methods for time-delay systems based on the redundant rules. Signal Process. 137 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Feng Ding