Feng Ding

发表

Recursive Identification Algorithms for a Class of Linear Closed-loop Systems

Tasawar Hayat, Ahmed Alsaedi, Feng Ding, 2019 .

Maximum likelihood based identification methods for rational models

Jing Chen, Quanmin Zhu, Feng Ding, 2019, Int. J. Syst. Sci..

A Recognition Method via Improved CEEMDAN and Multiscale Entropy for Enhancing the Diagnostic Accuracy

Wenjuan Wang, Xuejiao Chen, Feng Ding, 2020 .

The innovation algorithms for multivariable state‐space models

Xiao Zhang, Ling Xu, Feng Ding, 2019, International Journal of Adaptive Control and Signal Processing.

A Novel Method for Output Characteristics Calculation of Electromagnetic Devices using Multi-kernel RBF Neural Network

Feng Ding, Jianhui Tian, Yunyun Gao, 2020 .

Anti-forensics of Image Sharpening Using Generative Adversarial Network

Feng Ding, Zhangyi Shen, Yunqing Shi, 2019, IWDW.

Two-stage multi-innovation stochastic gradient algorithm for multivariate output-error ARMA systems based on the auxiliary model

Qinyao Liu, Tasawar Hayat, Quanmin Zhu, 2019, Int. J. Syst. Sci..

METEOR: Measurable Energy Map Toward the Estimation of Resampling Rate via a Convolutional Neural Network

Guopu Zhu, Yun-Qing Shi, Hanzhou Wu, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Hierarchical Multi-Innovation Generalised Extended Stochastic Gradient Methods for Multivariable Equation-Error Autoregressive Moving Average Systems

Ling Xu, Jie Sheng, Feng Ding, 2020 .

Data filtering-based recursive identification for an exponential autoregressive moving average model by using the multi-innovation theory

Fengying Ma, Ling Xu, Tasawar Hayat, 2020 .

Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems

Ling Xu, Tasawar Hayat, Feng Ding, 2019, IET Control Theory & Applications.

Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise

Ahmed Alsaedi, Haibo Liu, Tasawar Hayat, 2020, J. Frankl. Inst..

ASSV

Qian Zhang, Dong Wang, Run Zhao, 2019, UbiComp/ISWC Adjunct.

Hierarchical least squares identification for feedback nonlinear equation-error systems

Tasawar Hayat, Ximei Liu, Feng Ding, 2020, J. Frankl. Inst..

Combined estimation of the parameters and states for a multivariable state‐space system in presence of colored noise

Ting Cui, Jie Sheng, Feng Ding, 2020 .

An associated probability analysis model based on multi-element fusion

Xu Yan, Feng Ding, Donghao Yang, 2019, AIIPCC '19.

Highly computationally efficient state filter based on the delta operator

Ling Xu, Feng Ding, Feng Ding, 2019, International Journal of Adaptive Control and Signal Processing.

Parameter estimation algorithms of linear systems with time-delays based on the frequency responses and harmonic balances under the multi-frequency sinusoidal signal excitation

Tasawar Hayat, Xi-Sheng Zhan, Feng Ding, 2021, Signal Process..

Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model

Ahmed Alsaedi, Ling Xu, Tasawar Hayat, 2020, J. Comput. Appl. Math..

Digital Forensics for Recoloring via Convolutional Neural Network

Feng Ding, Zhangyi Shen, Yunqing Shi, 2020 .

Parameter estimation for time‐delay systems based on the frequency responses and harmonic balance methods

Ahmed Alsaedi, Ling Xu, Ya Gu, 2020, International Journal of Adaptive Control and Signal Processing.

Interval Error Correction Auxiliary Model Based Gradient Iterative Algorithms for Multirate ARX Models

Jing Chen, Quanmin Zhu, Feng Ding, 2020, IEEE Transactions on Automatic Control.

Three‐stage least squares‐based iterative estimation algorithms for bilinear state‐space systems based on the bilinear state estimator

Ahmed Alsaedi, Yanliang Zhang, Feng Ding, 2020 .

Recursive parameter and state estimation methods for observability canonical state-space models exploiting the hierarchical identification principle

Ting Cui, Tasawar Hayat, Ahmed Alsaedi, 2019 .

Moving data window gradient‐based iterative algorithm of combined parameter and state estimation for bilinear systems

Tasawar Hayat, Feng Ding, Feng Ding, 2020, International Journal of Robust and Nonlinear Control.

System load trend prediction method based on IF-EMD-LSTM

Chenghao Guo, Jing Yu, Yabin Wang, 2019, Int. J. Distributed Sens. Networks.

Two-stage Gradient-based Iterative Estimation Methods for Controlled Autoregressive Systems Using the Measurement Data

Xiangkui Wan, Xue-Bo Jin, Feng Ding, 2020, International Journal of Control, Automation and Systems.

Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems

Ling Xu, Feng Ding, Feng Ding, 2019, International Journal of Robust and Nonlinear Control.

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

Feng Ding, Meihang Li, Ximei Liu, 2019, International Journal of Adaptive Control and Signal Processing.

Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation–Maximization Algorithm

Jing Chen, Biao Huang, Feng Ding, 2021, IEEE Transactions on Industrial Informatics.

Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2020 .

Real-time estimation for the parameters of Gaussian filtering via deep learning

Guopu Zhu, Feng Ding, Yuxi Shi, 2020, Journal of Real-Time Image Processing.

Recursive Least-squares Estimation for Multivariable Systems Based on the Maximum Likelihood Principle

Feng Ding, Yongqing Yang, Huafeng Xia, 2020, International Journal of Control, Automation and Systems.

Fault Diagnosis of Traction Transformer Based on Bayesian Network

Sheng Bi, Yong Xiao, Sheng Lin, 2020, Energies.

Recursive search-based identification algorithms for the exponential autoregressive time series model with coloured noise

Feng Ding, Huan Xu, Feng Ding, 2020 .

Improved least-squares identification for multiple-output non-linear stochastic systems

Tasawar Hayat, Feng Ding, Feng Ding, 2020 .

Separable Recursive Gradient Algorithm for Dynamical Systems Based on the Impulse Response Signals

Ling Xu, Feng Ding, Erfu Yang, 2020 .

ASSV: Handwritten Signature Verification Using Acoustic Signals

Qian Zhang, Dong Wang, Run Zhao, 2019, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Recursive least squares algorithm and stochastic gradient algorithm for feedback nonlinear equation-error systems

Ling Xu, Feng Ding, Guanglei Song, 2019 .

Bias compensation‐based parameter estimation for output error moving average systems

Jie Ding, Feng Ding, F. Ding, 2011 .

Three‐stage multi‐innovation parameter estimation for an exponential autoregressive time‐series model with moving average noise by using the data filtering technique

Huan Xu, Feng Ding, Erfu Yang, 2021 .

Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems

Ling Xu, Jie Sheng, Feng Ding, 2020, International Journal of Adaptive Control and Signal Processing.

Partially coupled gradient estimation algorithm for multivariable equation-error autoregressive moving average systems using the data filtering technique

Qinyao Liu, Ling Xu, Feng Ding, 2019 .

Recursive identification of bilinear time-delay systems through the redundant rule

Qinyao Liu, Xiao Zhang, Ahmed Alsaedi, 2020, J. Frankl. Inst..

Iterative parameter identification for pseudo-linear systems with ARMA noise using the filtering technique

Fuad E. Alsaadi, Ling Xu, Tasawar Hayat, 2018 .

A New Iterative Least Squares Parameter Estimation Approach for Equation-error Autoregressive Systems

Chunping Chen, Ximei Liu, Feng Ding, 2020, International Journal of Control, Automation and Systems.

Iterative Identification of Discrete-Time Systems With Bilinear Forms in the Presence of Colored Noises Based on the Hierarchical Principle

Mengting Chen, Feng Ding, 2019 .

A computer vision based machine learning approach for fatigue crack initiation sites recognition

Dongbo Wei, Feng Ding, Shi Yuan Wang, 2020 .

On some parameter estimation algorithms for the nonlinear exponential autoregressive model

Jie Sheng, Feng Ding, Huan Xu, 2019, International Journal of Adaptive Control and Signal Processing.

Joint Multi-innovation Recursive Extended Least Squares Parameter and State Estimation for a Class of State-space Systems

Ting Cui, Tasawar Hayat, Xue-Bo Jin, 2020 .

Recursive Identification of Errors-in-Variables Systems Based on the Correlation Analysis

Tasawar Hayat, Feng Ding, Shujun Fan, 2020, Circuits Syst. Signal Process..

State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors

Feng Ding, Feng Ding, Xiao Zhang, 2019, International Journal of Adaptive Control and Signal Processing.

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

Feng Ding, Lijuan Wan, Feiyan Chen, 2020, J. Frankl. Inst..