F. Ding

Feng Ding, Yanjun Liu, F. Ding, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Auxiliary model identification method for multirate multi-input systems based on least squares

Feng Ding, Jie Sheng, Yang Shi, 2009, Math. Comput. Model..

Gradient based iterative solutions for general linear matrix equations

Feng Ding, Jie Ding, Li Xie, 2009, Comput. Math. Appl..

Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises

Feng Ding, Peter Xiaoping Liu, Guangjun Liu, 2009, Signal Process..

Gradient-based iterative solutions for general matrix equations

Feng Ding, Huizhong Yang, Jie Ding, 2009, 2009 American Control Conference.

The residual based extended least squares identification method for dual-rate systems

Feng Ding, Jie Ding, F. Ding, 2008, Comput. Math. Appl..

Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling

Feng Ding, Tongwen Chen, Zenta Iwai, 2007, SIAM J. Control. Optim..

Highly computationally efficient parameter estimation algorithms for a class of nonlinear multivariable systems by utilizing the state estimates

F. Ding, Ting Cui, 2023, Nonlinear Dynamics.

Gradient‐based recursive parameter estimation for a periodically nonuniformly sampled‐data Hammerstein–Wiener system based on the key‐term separation

F. Ding, Qilin Liu, 2021, International Journal of Adaptive Control and Signal Processing.

Multi-innovation gradient parameter estimation algorithms for closed-loop Hammerstein nonlinear systems

Feng Ding, Ling Xu, Bingbing Shen, 2017, 2017 American Control Conference (ACC).

Hierarchical Stochastic Gradient Algorithm and its Performance Analysis for a Class of Bilinear-in-Parameter Systems

Feng Ding, Xuehai Wang, F. Ding, 2017, Circuits Syst. Signal Process..

Maximum Likelihood Recursive Least Squares Estimation for Multivariable Systems

F. Ding, Junhong Li, Daqi Zhu, 2014, Circuits, Systems, and Signal Processing.

Newton iterative identification method for an input nonlinear finite impulse response system with moving average noise using the key variables separation technique

F. Ding, Kepo Deng, 2014, Nonlinear Dynamics.

Iterative identification methods for input nonlinear multivariable systems using the key-term separation principle

Feng Ding, Qianyan Shen, F. Ding, 2015, J. Frankl. Inst..

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

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

Maximum likelihood least squares‐based iterative methods for output‐error bilinear‐parameter models with colored noises

Wei Wei, Teng Yong Ng, Mengting Chen, 2020, International Journal of Robust and Nonlinear Control.

Hierarchical parameter and state estimation for bilinear systems

Xiao Zhang, Feng Ding, F. Ding, 2020, Int. J. Syst. Sci..

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.

Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory

Feng Ding, Lijuan Wan, F. Ding, 2019, Circuits Syst. Signal Process..

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.

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.

Maximum Likelihood Recursive Identification for the Multivariate Equation-Error Autoregressive Moving Average Systems Using the Data Filtering

Feng Ding, Jian Pan, Ling Xu, 2019, IEEE Access.

Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals

Feng Ding, Ling Xu, Tasawar Hayat, 2019, Circuits Syst. Signal Process..

Recursive parameter estimation algorithm for multivariate output-error systems

Feng Ding, Yanjiao Wang, Minhu Wu, 2018, J. Frankl. Inst..

New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering

Feng Ding, Ping Ma, F. Ding, 2017, J. Frankl. Inst..

Filtering-Based Multistage Recursive Identification Algorithm for an Input Nonlinear Output-Error Autoregressive System by Using the Key Term Separation Technique

Feng Ding, Junxia Ma, F. Ding, 2017, Circuits Syst. Signal Process..

Parameter estimation algorithm for multivariable controlled autoregressive autoregressive moving average systems

Erfu Yang, Feng Ding, Qinyao Liu, 2018, Digit. Signal Process..

The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise

Feng Ding, Meihang Li, Ximei Liu, 2017, J. Frankl. Inst..

Maximum likelihood based recursive parameter estimation for controlled autoregressive ARMA systems using the data filtering technique

Feng Ding, Jie Sheng, Feiyan Chen, 2015, J. Frankl. Inst..

A property of the eigenvalues of the symmetric positive definite matrix and the iterative algorithm for coupled Sylvester matrix equations

Feng Ding, Huamin Zhang, F. Ding, 2014, J. Frankl. Inst..

Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle

Feng Ding, Jie Sheng, Peipei Hu, 2013, J. Frankl. Inst..

Computation of matrix exponentials of special matrices

Feng Ding, F. Ding, 2013, Appl. Math. Comput..

Two-stage parameter estimation algorithms for Box-Jenkins systems

Feng Ding, Honghong Duan, F. Ding, 2013, IET Signal Process..

Least squares algorithm for an input nonlinear system with a dynamic subspace state space model

F. Ding, Dongqing Wang, Liu Ximei, 2013, Nonlinear Dynamics.

Newton iterative identification for a class of output nonlinear systems with moving average noises

F. Ding, Junxia Ma, Yongsong Xiao, 2013, Nonlinear Dynamics.

Signal modeling using the gradient search

Feng Ding, Xiangli Li, F. Ding, 2013, Appl. Math. Lett..

Parameter estimation for a multivariable state space system with d-step state-delay

Feng Ding, Ya Gu, F. Ding, 2013, J. Frankl. Inst..

Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle

F. Ding, Peipei Hu, 2013, Nonlinear dynamics.

Recursive Relations of the Cost Functions for the Least-Squares Algorithms for Multivariable Systems

Feng Ding, Junxia Ma, F. Ding, 2013, Circuits Syst. Signal Process..

An iterative least squares estimation algorithm for controlled moving average systems based on matrix decomposition

Feng Ding, Huiyi Hu, F. Ding, 2012, Appl. Math. Lett..

Recursive Relations of the Cost Functions for the Least-Squares Algorithms for Multivariable Systems

F. Ding, Junxia Ma, 2012, Circuits, systems, and signal processing.

Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems

Feng Ding, Dongqing Wang, Yanyun Chu, 2010, Comput. Math. Appl..

Computers and Mathematics with Applications Identification for Multirate Multi-input Systems Using the Multi-innovation Identification Theory

Feng Ding, Lili Han, F. Ding, 2022 .

Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems

Feng Ding, Dongqing Wang, F. Ding, 2008, Comput. Math. Appl..

Identification of Hammerstein nonlinear ARMAX systems

Feng Ding, Tongwen Chen, Tongwen Chen, 2005, Autom..

Parameter estimation algorithms for missing-data systems

Feng Ding, Jie Ding, F. Ding, 2009, 2009 American Control Conference.

Hierarchical Least Squares Estimation Algorithm for Hammerstein–Wiener Systems

Feng Ding, Dongqing Wang, F. Ding, 2012, IEEE Signal Processing Letters.

A novel identification method for Wiener systems with the limited information

Feng Ding, Qibing Jin, Jun Dou, 2013, Math. Comput. Model..

Model Equivalence-Based Identification Algorithm for Equation-Error Systems with Colored Noise

Feng Ding, Dandan Meng, F. Ding, 2015, Algorithms.

Multirate crosstalk identification in xDSL systems

Feng Ding, Tongwen Chen, Yang Shi, 2006, IEEE Transactions on Communications.

Iterative solutions to matrix equations of the form AiXBi=Fi

Feng Ding, Jie Ding, Yanjun Liu, 2010, Comput. Math. Appl..

A finite-data-window least squares algorithm with a forgetting factor for dynamical modeling

Feng Ding, Yongsong Xiao, F. Ding, 2007, Appl. Math. Comput..

Bias compensation based recursive least-squares identification algorithm for MISO systems

Feng Ding, Li Qiu, Tongwen Chen, 2006, IEEE Trans. Circuits Syst. II Express Briefs.

The Bias Compensation Based Parameter and State Estimation for Observability Canonical State-Space Models with Colored Noise

Feng Ding, Qingsheng Liu, Xuehai Wang, 2018, Algorithms.

Gradient-Based Parameter Identification Algorithms for Observer Canonical State Space Systems Using State Estimates

Feng Ding, Xingyun Ma, F. Ding, 2015, Circuits Syst. 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..

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 .

Iterative parameter identification algorithms for transformed dynamic rational fraction input-output systems

F. Ding, Qinyao Liu, Erfu Yang, 2023, J. Comput. Appl. Math..

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

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

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.

The innovation algorithms for multivariable state‐space models

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

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

Ling Xu, Feng Ding, Erfu Yang, 2020 .

Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition

F. Ding, Xuehai Wang, Yongsong Xiao, 2015, Circuits, Systems, and Signal Processing.

Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2016, J. Frankl. Inst..

The adaptive damping iterative parameter estimation algorithm for dynamical systems

Feng Ding, Ling Xu, Hongfeng Tao, 2016, 2016 American Control Conference (ACC).

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.

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.

Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises

Feng Ding, Tasawar Hayat, Fengying Ma, 2021, J. Frankl. Inst..

Gradient-based iterative identification method for multivariate equation-error autoregressive moving average systems using the decomposition technique

Feng Ding, Ling Xu, Ahmed Alsaedi, 2019, J. Frankl. Inst..

Hierarchical Least Squares Identification for Hammerstein Nonlinear Controlled Autoregressive Systems

Feng Ding, Huibo Chen, F. Ding, 2015, Circuits Syst. Signal Process..

Modified Gram–Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models

Feng Ding, Min Gan, Guang-Yong Chen, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise

Feng Ding, Ling Xu, Ahmed Alsaedi, 2017, J. Frankl. Inst..

Iterative least-squares solutions of coupled Sylvester matrix equations

Feng Ding, Tongwen Chen, Tongwen Chen, 2005, Syst. Control. Lett..

On Iterative Solutions of General Coupled Matrix Equations

Feng Ding, Tongwen Chen, Tongwen Chen, 2006, SIAM J. Control. Optim..

Author's reply to "comments on 'identification of Hammerstein nonlinear ARMAX systems'"

Feng Ding, Tongwen Chen, Tongwen Chen, 2007, Autom..

On the Kronecker Products and Their Applications

Feng Ding, Huamin Zhang, F. Ding, 2013, J. Appl. Math..

Gradient-Based Iterative Parameter Estimation Algorithms for Dynamical Systems from Observation Data

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2019, Mathematics.

Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling

T. Hayat, F. Ding, Yongsong Xiao, 2021, International Journal of Robust and Nonlinear Control.

A Hierarchical Approach for Joint Parameter and State Estimation of a Bilinear System with Autoregressive Noise

Feng Ding, Ling Xu, Ahmed Alsaedi, 2019, Mathematics.

On consistency of multi-innovation extended stochastic gradient algorithms with colored noises

Feng Ding, F. Ding, Li Yu, 2008, 2008 IEEE Instrumentation and Measurement Technology Conference.

Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2017, Circuits Syst. Signal Process..

Least Squares Identification for Hammerstein Multi-input Multi-output Systems Based on the Key-Term Separation Technique

Feng Ding, Qianyan Shen, F. Ding, 2016, Circuits Syst. Signal Process..

Least Squares Identification for Hammerstein Multi-input Multi-output Systems Based on the Key-Term Separation Technique

F. Ding, Qianyan Shen, 2015, Circuits, Systems, and Signal Processing.

Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses

Feng Ding, Ling Xu, Quanmin Zhu, 2018, Int. J. Syst. Sci..

The modified extended Kalman filter based recursive estimation for Wiener nonlinear systems with process noise and measurement noise

Fang Zhu, Feng Ding, Xuehai Wang, 2020, International Journal of Adaptive Control and Signal Processing.

Decomposition Least-Squares-Based Iterative Identification Algorithms for Multivariable Equation-Error Autoregressive Moving Average Systems

Feng Ding, Lijuan Wan, Chunping Chen, 2019, Mathematics.

Parameter estimation for a special class of nonlinear systems by using the over-parameterisation method and the linear filter

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2019, Int. J. Syst. Sci..

Recursive Algorithms for Multivariable Output-Error-Like ARMA Systems

Jian Pan, Ahmed Alsaedi, Hao Ma, 2019, Mathematics.

Maximum likelihood‐based adaptive differential evolution identification algorithm for multivariable systems in the state‐space form

Ahmed Alsaedi, Ting Cui, Ling Xu, 2020, International Journal of Adaptive Control and Signal Processing.

Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise

Feng Ding, Ling Xu, Tasawar Hayat, 2018, J. Frankl. Inst..

Recursive generalized extended least squares method and its application in a power plant

F. Ding, F. Ding, X. M. Xie, 1992, Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation.

Crosstalk Identification in xDSL Systems with Unknown Model Orders

Feng Ding, Tongwen Chen, Yang Shi, 2007, 2007 IEEE International Conference on Control and Automation.

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.

The Gradient-Based Iterative Estimation Algorithms for Bilinear Systems with Autoregressive Noise

Feng Ding, Meihang Li, Ximei Liu, 2017, Circuits, Systems, and Signal Processing.

Parameter estimation algorithms for Hammerstein time-delay systems based on the orthogonal matching pursuit scheme

Feng Ding, Yanjun Liu, Yawen Mao, 2017, IET Signal Process..

Iterative identification for multiple-input systems with time-delays based on greedy pursuit and auxiliary model

Feng Ding, Jing Chen, Junyao You, 2019, J. Frankl. Inst..

Gradient-Based Particle Filter Algorithm for an ARX Model With Nonlinear Communication Output

Feng Ding, Yanjun Liu, Quanmin Zhu, 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Gradient based iterative algorithms for solving a class of matrix equations

Tongwen Chen, Tongwen Chen, F. Ding, 2005, IEEE Transactions on Automatic Control.

Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems

Lijuan Liu, Feng Ding, Cheng Wang, 2018, J. Frankl. Inst..

Recursive estimation algorithms based on the least squares and their convergence for a class of time-varying systems

N. Xu, F. Ding, 2023, Nonlinear Dynamics.

Recursive least squares estimation methods for a class of nonlinear systems based on non‐uniform sampling

T. Hayat, A. Alsaedi, F. Ding, 2021, International Journal of Adaptive Control and Signal Processing.

Extended Gradient-based Iterative Algorithm for Bilinear State-space Systems with Moving Average Noises by Using the Filtering Technique

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2021, International Journal of Control, Automation and Systems.

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.

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..

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.

Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle

Feng Ding, Peter Xiaoping Liu, Jie Ding, 2008, Appl. Math. Comput..

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..

Data Filtering Based Multi-innovation Gradient Identification Methods for Feedback Nonlinear Systems

Ling Xu, Feng Ding, Tasawar Hayat, 2018, International Journal of Control, Automation and Systems.

Recursive least squares identification for multirate multi-input single-output systems

Feng Ding, Jie Sheng, Yang Shi, 2009, 2009 American Control Conference.

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.

Parameter estimation of Markov‐switching Hammerstein systems using the variational Bayesian approach

Feng Ding, Biao Huang, Junxia Ma, 2019, IET Control Theory & Applications.

Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique

Feng Ding, Cheng Wang, Yan Wang, 2018, J. Frankl. Inst..

Auxiliary Model-Based Recursive Generalized Least Squares Algorithm for Multivariate Output-Error Autoregressive Systems Using the Data Filtering

Feng Ding, Qinyao Liu, F. Ding, 2018, Circuits Syst. Signal Process..

Auxiliary Model-Based Recursive Generalized Least Squares Algorithm for Multivariate Output-Error Autoregressive Systems Using the Data Filtering

F. Ding, Qinyao Liu, 2018, Circuits, Systems, and Signal Processing.

Recursive Identification Methods for Multivariate Output-error Moving Average Systems Using the Auxiliary Model

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2018 .

Adaptive filtering‐based multi‐innovation gradient algorithm for input nonlinear systems with autoregressive noise

Erfu Yang, Feng Ding, Yawen Mao, 2017 .

Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory

Feng Ding, Yawen Mao, F. Ding, 2016, Int. J. Comput. Math..

Hierarchical Stochastic Gradient Algorithm and its Performance Analysis for a Class of Bilinear-in-Parameter Systems

F. Ding, Xuehai Wang, 2016, Circuits, Systems, and Signal Processing.

Data Filtering-Based Multi-innovation Stochastic Gradient Algorithm for Nonlinear Output Error Autoregressive Systems

F. Ding, Yawen Mao, 2015, Circuits, Systems, and Signal Processing.

Data filtering based least squares iterative algorithm for parameter identification of output error autoregressive systems

Feng Ding, Wenge Zhang, Huibo Chen, 2014, Inf. Process. Lett..

Auxiliary model based multi-innovation stochastic gradient identification for multirate multi-input systems

Feng Ding, Jie Ding, Lili Han, 2010, 2010 Chinese Control and Decision Conference.

Parameter estimation for multirate multi-input systems using auxiliary model and multi-innovation

Feng Ding, Lili Han, F. Ding, 2010 .

Gradient-based iterative parameter estimation for Box-Jenkins systems with finite measurement data

Feng Ding, Jiyang Dai, Dongqing Wang, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Hierarchical stochastic gradient parameter estimation algorithms for multivariable systems with colored noises

Feng Ding, Yanjun Liu, F. Ding, 2009, 2009 American Control Conference.

Multi-innovation stochastic gradient algorithm for output error systems based on the auxiliary model

Feng Ding, Peter X. Liu, Dongqing Wang, 2009, 2009 American Control Conference.

Least-squares based iterative parameter estimation for two-input multirate sampled-data systems

Feng Ding, Jing Lu, Xinggao Liu, 2009, 2009 American Control Conference.

On the residual based stochastic gradient algorithm for dual-rate sampled-data systems using the polynomial transform technique

Feng Ding, Xiaoming Chen, Dongqing Wang, 2009, 2009 American Control Conference.

Auxiliary models based multi-innovation gradient identification with colored measurement noises

Feng Ding, Peter Xiaoping Liu, Guangjun Liu, 2009, 2009 IEEE International Conference on Robotics and Automation.

AM-GESG identification algorithms for general stochastic systems

F. Ding, Dongqing Wang, 2008, 2008 IEEE International Conference on Automation and Logistics.

On the residual based LS parameter estimation algorithm for dual-rate systems

F. Ding, Jie Ding, 2008, 2008 Chinese Control and Decision Conference.

HLS parameter estimation for multi-input multi-output systems

Feng Ding, Peter Xiaoping Liu, Ping Yuan, 2008, 2008 IEEE International Conference on Robotics and Automation.

Multi-innovation least squares parameter estimation algorithms for stochastic regression models

Feng Ding, F. Ding, P.X. Liu, 2008, 2008 IEEE Instrumentation and Measurement Technology Conference.

Dynamic Task Assignment and Path Planning for Multi-AUV System in Variable Ocean Current Environment

F. Ding, Daqi Zhu, Huan Huang, 2013, Journal of Intelligent & Robotic Systems.

Design of the PID controller for industrial processes based on the stability margin

Feng Ding, Ling Xu, F. Ding, 2016, 2016 Chinese Control and Decision Conference (CCDC).

Filtering-Based Maximum Likelihood Gradient Iterative Estimation Algorithm for Bilinear Systems with Autoregressive Moving Average Noise

F. Ding, Meihang Li, Ximei Liu, 2018, Circuits, Systems, and Signal Processing.