Feng Ding

Feng Ding, Kan Yi, Heng Wang, 2010, 2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science.

Decomposition based least squares estimation algorithm for non-uniformly sampled multirate systems

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.

A novel identification method for Wiener systems with the limited information

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

Identification of multi-input systems based on correlation techniques

Feng Ding, Yongsong Xiao, Huibo Chen, 2011, Int. J. Syst. Sci..

Analysis of kinematical performance of micro soccer robot

Feng Ding, Chen Zhao, Zhi-Chao Zhang, 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

Modeling Nonlinear Processes Using the Radial Basis Function-Based State-Dependent Autoregressive Models

Feng Ding, Yihong Zhou, F. Ding, 2020, IEEE Signal Processing Letters.

Recursive least squares parameter estimation for non-uniformly sampled systems based on the data filtering

Feng Ding, Huizhong Yang, Li Xie, 2011, Math. Comput. Model..

A polynomial segment model based statistical parametric speech synthesis sytem

Feng Ding, Jingwei Sun, Yahui Wu, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems

Feng Ding, Ya Gu, F. Ding, 2012, Int. J. Comput. Math..

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

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

Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems

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

Iterative Parameter Estimation Algorithms for Dual-Frequency Signal Models

Feng Ding, Ling Xu, Siyu Liu, 2017, Algorithms.

An End-to-End QoS Guarantee Scheme in Heterogeneous Networks

Feng Ding, Heng Wang, Ying Liu, 2013, 2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control.

the Mould Design of Bottom Cover of Soap Box Based on Pro/E

Feng Ding, Rui Wang, 2012 .

The study on modeling and control of double carbonylation reaction process

Feng Ding, Shi Zhang, Nan Jiang, 2008, 2008 7th World Congress on Intelligent Control and Automation.

Joint state and multi-innovation parameter estimation for time-delay linear systems and its convergence based on the Kalman filtering

Feng Ding, Ling Xu, Li Mao, 2017, Digit. Signal Process..

Modeling a nonlinear process using the exponential autoregressive time series model

Erfu Yang, Feng Ding, Huan Xu, 2019 .

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..

Several multi-innovation identification methods

Feng Ding, F. Ding, 2010, Digit. Signal Process..

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

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

Least squares based and gradient based iterative identification for Wiener nonlinear systems

Feng Ding, Dongqing Wang, F. Ding, 2011, Signal Process..

Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data

Feng Ding, Yanjun Liu, Dongqing Wang, 2010, Digit. Signal Process..

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

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

Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems

Feng Ding, Xuehai Wang, F. Ding, 2014, J. Frankl. Inst..

Performance analysis of stochastic gradient algorithms under weak conditions

Feng Ding, Huizhong Yang, Fei Liu, 2008, Science in China Series F: Information Sciences.

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

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

MPC-based energy management with adaptive Markov-chain prediction for a dual-mode hybrid electric vehicle

Feng Ding, Changle Xiang, Wei He, 2017 .

State filtering and parameter estimation for state space systems with scarce measurements

Feng Ding, F. Ding, 2014, Signal Process..

The filtering based parameter identification for bilinear-in-parameter systems

Feng Ding, Xuehai Wang, 2019, J. Frankl. Inst..

Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle

Feng Ding, Dongqing Wang, Yanyun Chu, 2013, Inf. Sci..

Parameter estimation algorithms for multivariable Hammerstein CARMA systems

Feng Ding, Dongqing Wang, F. Ding, 2016, Inf. Sci..

Identification of non-uniformly sampled-data systems with asynchronous input and output data

Feng Ding, Huizhong Yang, Li Xie, 2017, J. Frankl. Inst..

Recursive identification for multivariate autoregressive equation-error systems with autoregressive noise

Lijuan Liu, Feng Ding, Quanmin Zhu, 2018, Int. J. Syst. Sci..

An Information Propagation Model for Instant Messaging Based on Small-world Networks

Feng Ding, Jianfeng Guo, Zhihan Yu, 2014 .

Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems

Feng Ding, Peter Xiaoping Liu, Guangjun Liu, 2010, IEEE Transactions on Automatic Control.

On the fault diagnosis of linear time-varying systems

Feng Ding, Zhicheng Ji, Rongjia Zhu, 2005, IEEE International Conference Mechatronics and Automation, 2005.

Hierarchical least squares identification methods for multivariable systems

Feng Ding, Tongwen Chen, Tongwen Chen, 2005, IEEE Trans. Autom. Control..

Notice of RetractionResearch on the floating threshold of superimposed component distance relay based on sampled values

Feng Ding, Tianjiao Li, 2011, 2011 IEEE Power Engineering and Automation Conference.

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..

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

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

Obstacle Detection in Hybrid Cross-Country Environment Based on Markov Random Field for Unmanned Ground Vehicle

Feng Ding, Lie Guo, Linhui Li, 2015 .

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..

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

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

Hierarchical Least Squares Identification for Hammerstein Nonlinear Controlled Autoregressive Systems

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

Research on transmission of technology of downward information security for wellbore trajectory control

Feng Ding, Lin DeShu, 2017, EURASIP J. Inf. Secur..

Some new results of designing an IIR filter with colored noise for signal processing

Feng Ding, Ling Xu, Yanjiao Wang, 2018, Digit. Signal Process..

Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle

Feng Ding, Yanjun Liu, Yang Shi, 2012, Circuits Syst. Signal Process..

Maximum Likelihood Recursive Least Squares Estimation for Multivariable Systems

Feng Ding, Junhong Li, Daqi Zhu, 2014, 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..

Performance analysis of multi-innovation gradient type identification methods

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

The Improved Multi-Innovation Parameter Estimation Algorithms for the Sine Signal Modeling with the Single-Frequency

Feng Ding, Ling Xu, Xiao Zhang, 2018, 2018 10th International Conference on Modelling, Identification and Control (ICMIC).

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..

Iterative solutions to matrix equations of form

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

The multi-innovation stochastic gradient method for double-frequency signals through dynamical sampled data

Feng Ding, Ling Xu, 2018, 2018 Chinese Control And Decision Conference (CCDC).

Iterative Parameter Estimation for Signal Models Based on Measured Data

Feng Ding, Ling Xu, F. Ding, 2018, Circuits Syst. Signal Process..

Filtering based least squares parameter estimation algorithms for Hammerstein nonlinear CARMA systems

Feng Ding, Jian Pan, Xiangkui Wan, 2017, 2017 American Control Conference (ACC).

Fitting the exponential autoregressive model through recursive search

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2019, J. Frankl. Inst..

The intelligent obstacle sensing and recognizing method based on D-S evidence theory for UGV

Feng Ding, Lie Guo, Yibing Zhao, 2019, Future Gener. Comput. Syst..

Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation

Feng Ding, Ping Ma, Quanmin Zhu, 2018, Int. J. Syst. Sci..

Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems

Feng Ding, Li Qiu, Tongwen Chen, 2009, Autom..

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.

Amendments to “Performance Analysis of Estimation Algorithms of Nonstationary ARMA Processes” [Mar 06 1041-1053]

Feng Ding, Tongwen Chen, Yang Shi, 2008, IEEE Transactions on Signal Processing.

Multi-state reliability analysis of rotor system using Semi-Markov model and UGF

Feng Ding, Shuai Han, 2018 .

Research on Reliability Prediction of Power Management Module

Feng Ding, Shuai Han, 2016 .

Recursive parameter and state estimation for an input nonlinear state space system using the hierarchical identification principle

Feng Ding, Xuehai Wang, F. Ding, 2015, Signal Process..

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..

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.

Hierarchical Least Squares Estimation Algorithm for Hammerstein–Wiener Systems

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

Identification methods for time-delay systems based on the redundant rules

Feng Ding, Yanjun Liu, Junxia Ma, 2017, Signal Process..

Multi-step-length gradient iterative algorithm for equation-error type models

Feng Ding, Yanjun Liu, Quanmin Zhu, 2018, Syst. Control. Lett..

Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems

Feng Ding, Xingyun Ma, 2015, J. Frankl. Inst..

Iterative algorithms for X+ATX-1A=I by using the hierarchical identification principle

Feng Ding, Huamin Zhang, 2016, J. Frankl. Inst..

The chip predicting system to intelligent manufacturing

Feng Ding, Tang Shanfa, 1997, 1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335).

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

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

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..

Application Research of the Minimum Platform for Offshore Marginal Oilfields

Feng Ding, Zhang Hong, Luo Qiang, 2012 .

Auxiliary model-based least-squares identification methods for Hammerstein output-error systems

Feng Ding, Tongwen Chen, Yang Shi, 2007, Syst. Control. Lett..

Parameter estimation of dual-rate stochastic systems by using an output error method

Feng Ding, Tongwen Chen, Tongwen Chen, 2005, IEEE Trans. Autom. Control..

Decomposition based recursive least squares parameter estimation for Hammerstein nonlinear controlled autoregressive systems

Feng Ding, Huibo Chen, F. Ding, 2013, 2013 American Control Conference.

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

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

Highly Efficient Identification Methods for Dual-Rate Hammerstein Systems

Feng Ding, Huabo Liu, Dongqing Wang, 2015, IEEE Transactions on Control Systems Technology.

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..

Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling

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

Parameter estimation with scarce measurements

Feng Ding, Peter Xiaoping Liu, Guangjun Liu, 2011, Autom..

Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique

Feng Ding, Junhong Li, F. Ding, 2011, Comput. Math. Appl..

Study on Diffusion Simulation and Visualization of Hazardous Chemicals’s Disclosure Based on 3D GIS

Feng Ding, Yu Lei, Wen Hua Song, 2014 .

Research on TD-LTE Uplink Frequency Offset Estimation Algorithm for High-Speed Railway

Feng Ding, Yan Xu, Mi Jin, 2018, 2018 IEEE 4th International Conference on Computer and Communications (ICCC).

Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2018, Multidimens. Syst. Signal Process..

Research on the Network Data Stream Conversion Based on Different Specifications of Flow

Feng Ding, Wei Ding, Shi Dong, 2010, 2010 International Conference on Computational Intelligence and Software Engineering.

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..

Self-tuning control of dual-rate systems with input nonlinearities

Feng Ding, Jiyang Dai, Yongsong Xiao, 2009, 2009 American Control Conference.

Multi-innovation least squares identification methods based on the auxiliary model for MISO systems

Feng Ding, Ming Li, Huibo Chen, 2007, Appl. Math. Comput..

Recursive parameter estimation algorithm for multivariate output-error systems

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

Parameter estimation for control systems based on impulse responses

Feng Ding, Ling Xu, F. Ding, 2017 .

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

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2018 .

Hierarchical gradient-based identification of multivariable discrete-time systems

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

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

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

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..

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..

Data filtering based multi-innovation extended gradient method for controlled autoregressive autoregressive moving average systems using the maximum likelihood principle

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2017, Math. Comput. Simul..

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

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

Design of smart functional apparel products for moxa moxibustion

Li Li, Feng Ding, Kwok-Shing Wong, 2013, Other Conferences.

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

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

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.

Gradient based iterative solutions for general linear matrix equations

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

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 algorithms for missing-data systems

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

Combined state and parameter estimation for a bilinear state space system with moving average noise

Feng Ding, Xiao Zhang, Ling Xu, 2018, J. Frankl. Inst..

Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data

Feng Ding, Tongwen Chen, Tongwen Chen, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

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..

Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle

Feng Ding, Yongsong Xiao, Huibo Chen, 2014, Appl. Math. Comput..

An embedded multilingual speech recognition system for Mandarin, Cantonese, and English

Feng Ding, Yuezhong Tang, Yang Cao, 2003, International Conference on Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003.

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

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

Parameter estimation algorithm for multivariable controlled autoregressive autoregressive moving average systems

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

Coupled Least Squares Identification Algorithms for Multivariate Output-Error Systems

Feng Ding, Wu Huang, 2017, Algorithms.

A modified stochastic gradient based parameter estimation algorithm for dual-rate sampled-data systems

Feng Ding, Jie Ding, Yang Shi, 2010, Digit. Signal Process..

A Fault Injection Method for Resilient Information Service Cloud Environment Based on Association Model

Feng Ding, Fang Zhou, Ran Ding, 2018 .

Identification methods for Hammerstein nonlinear systems

Feng Ding, Peter Xiaoping Liu, Guangjun Liu, 2011, Digit. Signal Process..

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

Feng Ding, Xuehai Wang, Yongsong Xiao, 2016, Circuits Syst. Signal Process..

Parameter Identification for Input Nonlinear Output-Error Systems Using the Unknown Variable Estimation

Feng Ding, Yang Shi, 2007, 2007 American Control Conference.

On the Kronecker Products and Their Applications

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

The residual-based ESG algorithm and its performance analysis

Feng Ding, Dongqing Wang, Yongsong Xiao, 2010, J. Frankl. Inst..

Combined parameter and output estimation of dual-rate systems using an auxiliary model

Feng Ding, Tongwen Chen, Tongwen Chen, 2004, Autom..

Maximum likelihood-based recursive least-squares estimation for multivariable systems using the data filtering technique

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

Energy management of a dual-mode power-split hybrid electric vehicle based on velocity prediction and nonlinear model predictive control

Feng Ding, Wei He, Changle Xiang, 2017 .

Feature masking in an embedded Mandarin speech recognition system

Feng Ding, Xia Wang, Yang Cao, 2004, 2004 International Symposium on Chinese Spoken Language Processing.

Model Predictive Coordinated Control for Dual-Mode Power-Split Hybrid Electric Vehicle

Feng Ding, Changle Xiang, Boxuan Wen, 2018 .

Input-output data filtering based recursive least squares identification for CARARMA systems

Feng Ding, Dongqing Wang, F. Ding, 2010, Digit. Signal Process..

Melt Index Prediction Based on Adaptive Particle Swarm Optimization Algorithm‐Optimized Radial Basis Function Neural Networks

Feng Ding, Chengye Zhao, Xinggao Liu, 2010 .

Filtering based parameter estimation for observer canonical state space systems with colored noise

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2017, J. Frankl. Inst..

The parameter identification method for the over-damping system based on the Newton iteration

Feng Ding, Ling Xu, 2017, 2017 29th Chinese Control And Decision Conference (CCDC).

Data-driven optimal cooperative adaptive cruise control of heterogeneous vehicle platoons with unknown dynamics

Feng Ding, Defeng He, Feng Xiao, 2020, Science China Information Sciences.

Algebraic parameter estimation approaches for process control systems from sine responses

Feng Ding, Ling Xu, 2019, 2019 Chinese Control And Decision Conference (CCDC).

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..

Taking advantage of multi-regions-based diagonal texture structure descriptor for image retrieval

Feng Ding, Wei Song, Soon Cheol Park, 2018, Expert Syst. Appl..

Multirate crosstalk identification in xDSL systems

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

Signal modeling using the gradient search

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

Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering

Feng Ding, Ling Xu, Minghu Wu, 2017, J. Frankl. Inst..

Convergence of HLS estimation algorithms for multivariable ARX-like systems

Feng Ding, Peter Xiaoping Liu, Lingyun Wang, 2007, Appl. Math. Comput..

Least squares based iterative algorithm for pseudo-linear autoregressive moving average systems using the data filtering technique

Feng Ding, Lanjie Guo, F. Ding, 2015, J. Frankl. Inst..

Self-tuning control based on multi-innovation stochastic gradient parameter estimation

Feng Ding, Yang Shi, Jiabo Zhang, 2009, Syst. Control. Lett..

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

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

Parameter estimation for an input nonlinear state space system with time delay

Feng Ding, Ya Gu, 2014, J. Frankl. Inst..

Hierarchical estimation algorithms for multivariable systems using measurement information

Feng Ding, F. Ding, 2014, Inf. Sci..

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

Feng Ding, Yawen Mao, F. Ding, 2016, Circuits Syst. Signal Process..

Two-Stage Generalized Projection Identification Algorithms for Stochastic Systems

Feng Ding, Hao Yu, Qin Zhou, 2019, Circuits Syst. Signal Process..

Decomposition-Based Gradient Estimation Algorithms for Multivariate Equation-Error Autoregressive Systems Using the Multi-innovation Theory

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2018, Circuits Syst. Signal Process..

Dynamic task assignment and path planning for multi-AUV system in 2D variable ocean current environment

Feng Ding, Daqi Zhu, Huan Huang, 2012, 2012 24th Chinese Control and Decision Conference (CCDC).

A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation

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

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

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

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).

A novel parameter separation based identification algorithm for Hammerstein systems

Feng Ding, Yawen Mao, F. Ding, 2016, Appl. Math. Lett..

Gradient-based iterative solutions for general matrix equations

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

Research on the basic design method to recyclable engineering machinery

Feng Ding, 2009 .

Convergence analysis of estimation algorithms for dual-rate stochastic systems

Feng Ding, Peter Xiaoping Liu, Yang Shi, 2006, Appl. Math. Comput..

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.

The auxiliary model based hierarchical gradient algorithms and convergence analysis using the filtering technique

Feng Ding, Yanjiao Wang, F. Ding, 2016, Signal Process..

The multi-innovation stochastic gradient method for multi-frequency signal models

Feng Ding, Ling Xu, Junhong Li, 2018, 2018 Annual American Control Conference (ACC).

Transformations between some special matrices

Feng Ding, F. Ding, 2010, Comput. Math. Appl..

Gradient Based Iterative Algorithms for Solving a Class of Matrix Equations

Feng Ding, Tongwen Chen, 2005, IEEE Trans. Autom. Control..

Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data

Feng Ding, Peter Xiaoping Liu, Guangjun Liu, 2011, IEEE Transactions on Automatic Control.

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..

An Information Sources Tracking Model Based on Instant Messaging Network

Feng Ding, Xu Zhao, Zhi-Han Yu, 2016 .

A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering

Feng Ding, Jiyang Dai, Yanjiao Wang, 2017, J. Frankl. Inst..

Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle

Feng Ding, Ling Xu, F. Ding, 2017, IET Signal Process..

Hierarchical identification of lifted state-space models for general dual-rate systems

Feng Ding, Tongwen Chen, Tongwen Chen, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

An Iterative Algorithm for Dual-Frequency Signals With Unknown Frequencies and Amplitudes

Feng Ding, Guanglei Song, Siyu Liu, 2018, 2018 10th International Conference on Modelling, Identification and Control (ICMIC).

The adaptive damping iterative parameter estimation algorithm for dynamical systems

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

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.

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..

Performance analysis of the auxiliary models based multi-innovation stochastic gradient estimation algorithm for output error systems

Feng Ding, Dongqing Wang, F. Ding, 2010, Digit. Signal Process..

Inferential adaptive control for non-uniformly sampled-data systems

Feng Ding, Huizhong Yang, Li Xie, 2011, Proceedings of the 2011 American Control Conference.

Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model

Feng Ding, Yanjiao Wang, F. Ding, 2016, Autom..

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..

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

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

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.

Reliability Assessment Based on Equipment Condition Vibration Feature Using Proportional Hazards Model

Feng Ding, 2009 .

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

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

Adaptive filtering parameter estimation algorithms for Hammerstein nonlinear systems

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2016, Signal Process..

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..

Maximum likelihood based multi-innovation stochastic gradient estimation for controlled autoregressive ARMA systems using the data filtering technique

Feng Ding, Feiyan Chen, 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother

Feng Ding, Biao Huang, Junxia Ma, 2018, Signal Process..

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..

Joint Estimation of States and Parameters for an Input Nonlinear State-Space System with Colored Noise Using the Filtering Technique

Feng Ding, Xuehai Wang, F. Ding, 2016, Circuits Syst. Signal Process..

Gradient based and least-squares based iterative identification methods for OE and OEMA systems

Feng Ding, Peter Xiaoping Liu, Guangjun Liu, 2010, Digit. Signal Process..

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

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

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.

Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay

Feng Ding, Ya Gu, F. Ding, 2013, Circuits Syst. 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..

A neural network learning algorithm of chemical process modeling based on the extended Kalman filter

Feng Ding, Jiang Li, Huizhong Yang, 2007, Neurocomputing.

Convenient parameter estimation approaches for process control systems with time-delay via step responses

Feng Ding, Ling Xu, 2020, 2020 Chinese Control And Decision Conference (CCDC).

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.

Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems

Feng Ding, Guowei Yang, Dongqing Wang, 2010, Math. Comput. Model..

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

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

Iterative Identification of Hammerstein Parameter Varying Systems With Parameter Uncertainties Based on the Variational Bayesian Approach

Feng Ding, Biao Huang, Junxia Ma, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Parameter Identification and Intersample Output Estimation for Dual-Rate Systems

Feng Ding, Peter Xiaoping Liu, Huizhong Yang, 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Convergence Analysis of the Hierarchical Least Squares Algorithm for Bilinear-in-Parameter Systems

Feng Ding, Fuad E. Alsaadi, Tasawar Hayat, 2016, Circuits Syst. Signal Process..

Performance analysis of estimation algorithms of nonstationary ARMA processes

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

An Resilient Cloud Architecture for Mission Assurance

Feng Ding, Yabin Wang, Xin Zhao, 2018, 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC).

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

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

Recursive least squares parameter identification algorithms for systems with colored noise using the filtering technique and the auxilary model

Feng Ding, Jie Ding, Yanjiao Wang, 2015, Digit. Signal Process..

Iterative Identification Algorithms for Bilinear-in-parameter Systems by Using the Over-parameterization Model and the Decomposition

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2018 .

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

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

Fast retrieval of land surface emissivity from landsat data through IDL programming

Feng Ding, Xin Zhang, Wenfeng Wu, 2014, 2014 Third International Workshop on Earth Observation and Remote Sensing Applications (EORSA).

Hierarchical least-squares based iterative identification for multivariable systems with moving average noises

Feng Ding, Li Xie, Xinggao Liu, 2010, Math. Comput. Model..

Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling

Feng Ding, Ling Xu, F. Ding, 2017, Circuits Syst. Signal Process..

An efficient hierarchical identification method for general dual-rate sampled-data systems

Feng Ding, Yanjun Liu, Yang Shi, 2014, Autom..

Adaptive RBF-AR Models Based on Multi-Innovation Least Squares Method

Feng Ding, Min Gan, Guang-Yong Chen, 2019, IEEE Signal Processing Letters.

Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems

Feng Ding, Zhening Zhang, Xinggao Liu, 2011, Comput. Math. Appl..

Multi-innovation stochastic gradient algorithms for multi-input multi-output systems

Feng Ding, Lili Han, F. Ding, 2009, Digit. Signal Process..

Recursive Parameter Estimation Algorithms and Convergence for a Class of Nonlinear Systems with Colored Noise

Feng Ding, Yanjiao Wang, F. Ding, 2016, Circuits Syst. Signal Process..

Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model

Feng Ding, Jie Sheng, Fang-Xiang Wu, 2012, Math. Comput. Simul..

Parameter identification of multi-input, single-output systems based on FIR models and least squares principle

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

The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model

Feng Ding, Qinyao Liu, 2018, Multidimens. Syst. Signal Process..

APPLICATION OF A PARALLEL KINEMATIC MACHINE SYSTEM IN AUTOMATION OF LIGHT DEBURRING OPERATIONS

Feng Ding, Dan Zhang, Franklin Wong, 2005 .

A novel tracking control approach for unmanned underwater vehicles based on bio-inspired neurodynamics

Feng Ding, Simon X. Yang, Daqi Zhu, 2013 .

Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis

Feng Ding, Yanjun Liu, Li Yu, 2010, Circuits Syst. Signal Process..

A novel data filtering based multi-innovation stochastic gradient algorithm for Hammerstein nonlinear systems

Feng Ding, Yawen Mao, F. Ding, 2015, Digit. Signal Process..

Identification methods for Wiener nonlinear systems based on the least squares and gradient iterations

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

Expectation maximization estimation algorithm for Hammerstein models with non-Gaussian noise and random time delay from dual-rate sampled-data

Feng Ding, Junxia Ma, Weili Xiong, 2018, Digit. Signal Process..

Decomposition based fast least squares algorithm for output error systems

Feng Ding, F. Ding, 2013, Signal Process..

Iterative least-squares solutions of coupled Sylvester matrix equations

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

Sequential noise estimation for noise-robust speech recognition based on 1st-order VTS approximation

Feng Ding, Guo-Hong Ding, Yuezhong Tang, 2005, IEEE Workshop on Automatic Speech Recognition and Understanding, 2005..

On Iterative Solutions of General Coupled Matrix Equations

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

Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses

Feng Ding, Quanmin Zhu, Ling Xu, 2021, Int. J. Syst. Sci..

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..

Hierarchical recursive signal modeling for multifrequency signals based on discrete measured data

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2021, International Journal of Adaptive Control and Signal Processing.

Accelerated Gradient Descent Estimation for Rational Models by Using Volterra Series: Structure Identification and Parameter Estimation

Feng Ding, Manfeng Hu, Quanmin Zhu, 2022, IEEE Transactions on Circuits and Systems II: Express Briefs.

Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation

Erfu Yang, Feng Ding, Hao Ma, 2021, J. Frankl. Inst..

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.

Efficient Iterative Algorithms for a Class of Nonlinear Systems using the Block Matrix Inversion and Hierarchical Principle

Erfu Yang, Feng Ding, Siyu Liu, 2021 .

Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2021, Int. J. Syst. Sci..

Hierarchical Estimation Approach for RBF-AR Models With Regression Weights Based on the Increasing Data Length

Feng Ding, Yihong Zhou, Xiao Zhang, 2021, IEEE Transactions on Circuits and Systems II: Express Briefs.

Identification methods of nonlinear systems based on the kernel functions

Feng Ding, Jimei Li, 2021 .

Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models

Feng Ding, Yihong Zhou, Xiao Zhang, 2022, Appl. Math. Comput..

Distributed simultaneous state and parameter estimation of nonlinear systems

Feng Ding, Xunyuan Yin, Siyu Liu, 2022 .

Identification of the nonlinear systems based on the kernel functions

Feng Ding, Erfu Yang, Jimei Li, 2021, International Journal of Robust and Nonlinear Control.

Iterative state and parameter estimation algorithms for bilinear state-space systems by using the block matrix inversion and the hierarchical principle

Feng Ding, Siyu Liu, Erfu Yang, 2021, Nonlinear Dynamics.

On consistency of stochastic gradient algorithms for ARMAX models with disturbances

Feng Ding, Tongwen Chen, 2005, Proceedings of the 2005, American Control Conference, 2005..

Gradient based estimation methods for a class of nonlinear systems with colored noises

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

Filtering based multi-stage recursive least squares parameter estimation algorithm for input nonlinear output-error autoregressive systems

Feng Ding, Jing Chen, Junxia Ma, 2016, CCC 2016.

Convergence of forgetting factor least square algorithms

Feng Ding, Tao Ding, 2001, 2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233).

Gradient-Based Identification Methods for Hammerstein Nonlinear ARMAX Models

Feng Ding, Tongwen Chen, Tongwen Chen, 2006 .

Partially coupled extended stochastic gradient algorithm for nonlinear multivariable output error moving average systems

Feng Ding, Xuehai Wang, F. Ding, 2017 .

Auxiliary Model-based Stochastic Gradient Algorithm for Multivariable Output Error Systems

Feng Ding, F. Ding, Xiao-ping Liu, 2010 .

Parameter Estimation for Hammerstein Nonlinear Controlled Auto-Regression Models

Feng Ding, F. Ding, Yang Shi, 2007, 2007 IEEE International Conference on Automation and Logistics.

Brief Paper - Gradient-based iterative algorithm for a class of the coupled matrix equations related to control systems

Feng Ding, Huamin Zhang, F. Ding, 2014 .

Least Squares based Iterative Parameter Estimation Algorithm for Stochastic Dynamical Systems with ARMA Noise Using the Model Equivalence

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2018 .

Generalized Yule-walker and two-stage identification algorithms for dual-rate systems

Feng Ding, 2006 .

Hierarchical Identification Principle and a Family of Iterative Methods

Feng Ding, Jiyang Dai, F. Ding, 2006, 2006 Chinese Control Conference.

A filtering based multi-innovation gradient estimation algorithm and performance analysis for nonlinear dynamical systems

Feng Ding, Feng Ding, Yanjiao Wang, 2017 .

Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition

Erfu Yang, Feng Ding, Junxia Ma, 2016 .

Coupled stochastic gradient identification algorithms for multivariate output-error systems using the auxiliary model

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2017 .

Combined state and multi-innovation parameter estimation for an input non-linear state-space system using the key term separation

Feng Ding, Ahmed Alsaedi, Tasawar Hayat, 2016 .

Multi-innovation gradient identification for input nonlinear state space systems

Feng Ding, Wang Xuehai, Yanjun Liu, 2015 .

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

Erfu Yang, Feng Ding, Yawen Mao, 2017 .

Combined state and parameter estimation for Hammerstein systems with time-delay using the Kalman filtering

Erfu Yang, Feng Ding, Junxia Ma, 2017 .

Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering

Feng Ding, Yanjiao Wang, F. Ding, 2016 .

Hierarchical least squares parameter estimation algorithms for dual-rate sampled-data systems

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

Auxiliary Model-based Stochastic Gradient Algorithm for Multivariable Output Error Systems: Auxiliary Model-based Stochastic Gradient Algorithm for Multivariable Output Error Systems

Feng Ding, F. Ding, Xiao-ping Liu, 2010 .

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.

Multi-Innovation Stochastic Gradient Identification Methods

Feng Ding, Tongwen Chen, Tongwen Chen, 2006, 2006 6th World Congress on Intelligent Control and Automation.

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 .

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.

A new identification algorithm for multi-input ARX systems

Feng Ding, Tongwen Chen, Yang Shi, 2005, IEEE International Conference Mechatronics and Automation, 2005.

Gradient‐based iterative parameter estimation for bilinear‐in‐parameter systems using the model decomposition technique

Erfu Yang, Feng Ding, Mengting Chen, 2018, IET Control Theory & Applications.

Hierarchical multi-innovation extended stochastic gradient algorithms for input nonlinear multivariable OEMA systems by the key-term separation principle

Feng Ding, Qianyan Shen, 2016 .