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Feng Ding 0001
Person information
- affiliation: Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry, Wuxi, China
- affiliation (former): Southern Yangtze University, Control Science and Engineering Research Center, Wuxi, China
- affiliation (2002 - 2005): University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
- affiliation (PhD 1994): Tsinghua University, Department of Automation, Beijing, China
Other persons with the same name
- Feng Ding — disambiguation page
- Feng Ding 0002
— Clemson University, Department of Chemical and Biomolecular Engineering, SC, USA (and 1 more)
- Feng Ding 0003
— King Abdullah University of Science and Technology, Thuwal, Saudi Arabia (and 1 more)
- Feng Ding 0004
— Dalian University of Technology, School of Software Technology, China
- Feng Ding 0005
— South Central University for Nationalities, College of Computer Science, Wuhan, China (and 1 more)
- Feng Ding 0006 — Nokia Research Center, China
- Feng Ding 0007
— Nanchang University, School of Software, China (and 2 more)
- Feng Ding 0008
— Beijing Institute of Technology, School of Mechanical Engineering, China
- Feng Ding 0009
— Shenzhen Institute of Geriatrics, China
- Feng Ding 0010
— Xi'an Technological University, School of Mechanical and Electrical Engineering, China
- Feng Ding 0011
— Guangdong University of Technology, School of Electromechanical Engineering, China
- Feng Ding 0012
— Anhui Polytechnic University, School of Electrical Engineering, Wuhu, China
- Feng Ding 0013 — Chinese Academy of Sciences, Institute of Geology and Geophysics, Key Laboratory of Earth and Planetary Physics, Beijing, China (and 1 more)
- Feng Ding 0014 — National University of Singapore, Department of Computer Science, Singapore
- Feng Ding 0015 — Shanghai Jiao Tong University, School of Software, Shanghai, China
- Feng Ding 0016
— Dalian University of Technology, School of Software Technology, Dalian, China
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2020 – today
- 2024
- [j234]Feng Ding
, Ling Xu
, Xiao Zhang
, Yihong Zhou
, Xiaoli Luan
:
Recursive identification methods for general stochastic systems with colored noises by using the hierarchical identification principle and the filtering identification idea. Annu. Rev. Control. 57: 100942 (2024) - [j233]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): 124-151 (2024) - [j232]Ling Xu
, Huan Xu, Feng Ding
:
Adaptive Multi-Innovation Gradient Identification Algorithms for a Controlled Autoregressive Autoregressive Moving Average Model. Circuits Syst. Signal Process. 43(6): 3718-3747 (2024) - [j231]Haoming Xing, Feng Ding
, Feng Pan:
Auxiliary model-based hierarchical stochastic gradient methods for multiple-input multiple-output systems. J. Comput. Appl. Math. 442: 115687 (2024) - [j230]Ning Xu
, Feng Ding, Ling Xu:
Convergence analysis of a synchronous gradient estimation scheme for time-varying parameter systems. J. Comput. Appl. Math. 443: 115724 (2024) - [j229]Haoming Xing, Feng Ding
, Xiao Zhang, Xiaoli Luan, Erfu Yang:
Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises. Syst. Control. Lett. 186: 105762 (2024) - [j228]Ling Xu
, Feng Ding
, Xiao Zhang, Quanmin Zhu:
Novel parameter estimation method for the systems with colored noises by using the filtering identification idea. Syst. Control. Lett. 186: 105774 (2024) - [j227]Jimei Li, Feng Ding:
Online Parameter Optimization Scheme for the Kernel Function-Based Mixture Models Disturbed by Colored Noises. IEEE Trans. Circuits Syst. II Express Briefs 71(8): 3960-3964 (2024) - [c34]Jimei Li, Jan Swevers, Feng Ding:
Optimal Concurrent Estimation Method with Initial Value Search for Polynomial Kernel-Based Nonlinear Observer Canonical Models. ECC 2024: 929-934 - 2023
- [j226]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): 3360-3384 (2023) - [j225]Feng Ding
:
Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data. J. Comput. Appl. Math. 426: 115107 (2023) - [j224]Ling Xu, Feng Ding
:
Separable synthesis gradient estimation methods and convergence analysis for multivariable systems. J. Comput. Appl. Math. 427: 115104 (2023) - [j223]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: 115297 (2023) - [j222]Xiaojing Ping
, Xiaoli Luan
, Shunyi Zhao
, Feng Ding
, Fei Liu
:
Parameters-Transfer Identification for Dynamic Systems and Recursive Form. IEEE Signal Process. Lett. 30: 1302-1306 (2023) - [j221]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): 2530-2543 (2023) - 2022
- [j220]Yihong Zhou, Xiao Zhang, Feng Ding
:
Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models. Appl. Math. Comput. 414: 126663 (2022) - [j219]Siyu Liu, Xiao Zhang, Ling Xu, Feng Ding
:
Expectation-maximization algorithm for bilinear systems by using the Rauch-Tung-Striebel smoother. Autom. 142: 110365 (2022) - [j218]Jing Chen, Yawen Mao, Min Gan, Feng Ding
:
Adaptive regularised kernel-based identification method for large-scale systems with unknown order. Autom. 143: 110437 (2022) - [j217]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): 10145-10171 (2022) - [j216]Xiao Zhang
, Feng Ding
:
Optimal Adaptive Filtering Algorithm by Using the Fractional-Order Derivative. IEEE Signal Process. Lett. 29: 399-403 (2022) - [j215]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: 947-951 (2022) - [j214]Jimei Li
, Feng Ding
:
Fitting Nonlinear Signal Models Using the Increasing-Data Criterion. IEEE Signal Process. Lett. 29: 1302-1306 (2022) - [j213]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): 1497-1501 (2022) - [j212]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): 10489-10499 (2022) - [j211]Jimei Li
, Feng Ding
:
Synchronous Optimization Schemes for Dynamic Systems Through the Kernel-Based Nonlinear Observer Canonical Form. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j210]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: 1-11 (2022) - [j209]Ling Xu
, Feng Ding
, Quanmin Zhu
:
Separable Synchronous Multi-Innovation Gradient-Based Iterative Signal Modeling From On-Line Measurements. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [i1]Siyu Liu, Xunyuan Yin, Jinfeng Liu, Feng Ding:
Distributed simultaneous state and parameter estimation of nonlinear systems. CoRR abs/2201.03474 (2022) - 2021
- [j208]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): 1806-1821 (2021) - [j207]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): 2630-2645 (2021) - [j206]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): 2576-2595 (2021) - [j205]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): 5113-5135 (2021) - [j204]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: 107904 (2021) - [j203]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): 3597-3601 (2021) - [j202]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): 5185-5196 (2021) - 2020
- [j201]Xuehai Wang
, Fang Zhu, Feng Ding
:
Bias Correction-Based Recursive Estimation for Dual-Rate Output-Error Systems with Sampling Noise. Circuits Syst. Signal Process. 39(9): 4297-4319 (2020) - [j200]Shujun Fan, Feng Ding
, Tasawar Hayat:
Recursive Identification of Errors-in-Variables Systems Based on the Correlation Analysis. Circuits Syst. Signal Process. 39(12): 5951-5981 (2020) - [j199]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): 455-466 (2020) - [j198]Xiao Zhang, Feng Ding
:
Hierarchical parameter and state estimation for bilinear systems. Int. J. Syst. Sci. 51(2): 275-290 (2020) - [j197]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): 1669-1684 (2020) - [j196]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) - [j195]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): 726-747 (2020) - [j194]Feng Ding
, Ximei Liu
, Tasawar Hayat:
Hierarchical least squares identification for feedback nonlinear equation-error systems. J. Frankl. Inst. 357(5): 2958-2977 (2020) - [j193]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): 5591-5609 (2020) - [j192]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): 5640-5662 (2020) - [j191]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): 11021-11041 (2020) - [j190]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): 11094-11110 (2020) - [j189]Yihong Zhou
, Feng Ding
:
Modeling Nonlinear Processes Using the Radial Basis Function-Based State-Dependent Autoregressive Models. IEEE Signal Process. Lett. 27: 1600-1604 (2020) - [j188]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): 4385-4392 (2020) - [j187]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): 1035-1045 (2020) - [j186]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): 2198-2207 (2020)
2010 – 2019
- 2019
- [j185]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: 41154-41163 (2019) - [j184]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: 123086-123097 (2019) - [j183]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): 590-610 (2019) - [j182]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): 2846-2862 (2019) - [j181]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): 2971-2991 (2019) - [j180]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): 3251-3268 (2019) - [j179]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): 251-257 (2019) - [j178]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): 141-151 (2019) - [j177]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): 1121-1135 (2019) - [j176]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): 1689-1702 (2019) - [j175]Jing Chen, Feng Ding
, Quanmin Zhu, Yanjun Liu:
Maximum likelihood based identification methods for rational models. Int. J. Syst. Sci. 50(14): 2579-2591 (2019) - [j174]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): 2870-2884 (2019) - [j173]Xuehai Wang, Feng Ding
:
The filtering based parameter identification for bilinear-in-parameter systems. J. Frankl. Inst. 356(1): 514-538 (2019) - [j172]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): 1658-1676 (2019) - [j171]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): 5485-5502 (2019) - [j170]Huan Xu
, Lijuan Wan, Feng Ding
, Ahmed Alsaedi, Tasawar Hayat:
Fitting the exponential autoregressive model through recursive search. J. Frankl. Inst. 356(11): 5801-5818 (2019) - [j169]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): 5819-5833 (2019) - [j168]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): 1182-1186 (2019) - [j167]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): 2410-2418 (2019) - 2018
- [j166]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): 175 (2018) - [j165]Jing Chen, Biao Huang, Feng Ding
, Ya Gu:
Variational Bayesian approach for ARX systems with missing observations and varying time-delays. Autom. 94: 194-204 (2018) - [j164]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: 239-247 (2018) - [j163]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: 9598307:1-9598307:11 (2018) - [j162]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): 1846-1862 (2018) - [j161]Ling Xu, Feng Ding
:
Iterative Parameter Estimation for Signal Models Based on Measured Data. Circuits Syst. Signal Process. 37(7): 3046-3069 (2018) - [j160]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): 5023-5048 (2018) - [j159]Yanjiao Wang, Feng Ding
, Ling Xu:
Some new results of designing an IIR filter with colored noise for signal processing. Digit. Signal Process. 72: 44-58 (2018) - [j158]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: 135-144 (2018) - [j157]Qinyao Liu, Feng Ding
, Erfu Yang
:
Parameter estimation algorithm for multivariable controlled autoregressive autoregressive moving average systems. Digit. Signal Process. 83: 323-331 (2018) - [j156]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: 347-357 (2018) - [j155]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): 920-928 (2018) - [j154]Lijuan Liu, Feng Ding, Quanmin Zhu:
Recursive identification for multivariate autoregressive equation-error systems with autoregressive noise. Int. J. Syst. Sci. 49(13): 2763-2775 (2018) - [j153]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): 3079-3103 (2018) - [j152]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): 3381-3398 (2018) - [j151]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): 3737-3752 (2018) - [j150]Yanjiao Wang, Feng Ding
, Minhu Wu:
Recursive parameter estimation algorithm for multivariate output-error systems. J. Frankl. Inst. 355(12): 5163-5181 (2018) - [j149]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): 7609-7625 (2018) - [j148]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): 7643-7663 (2018) - [j147]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): 1135-1152 (2018) - [j146]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): 1781-1800 (2018) - [j145]Jing Chen
, Feng Ding, Yanjun Liu, Quanmin Zhu:
Multi-step-length gradient iterative algorithm for equation-error type models. Syst. Control. Lett. 115: 15-21 (2018) - [j144]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: 295-303 (2018) - [c33]Ling Xu, Feng Ding, Yanjiao Wang, Li Xie, Junhong Li:
The multi-innovation stochastic gradient method for multi-frequency signal models. ACC 2018: 1126-1131 - 2017
- [j143]Wu Huang, Feng Ding:
Coupled Least Squares Identification Algorithms for Multivariate Output-Error Systems. Algorithms 10(1): 12 (2017) - [j142]Siyu Liu, Ling Xu, Feng Ding:
Iterative Parameter Estimation Algorithms for Dual-Frequency Signal Models. Algorithms 10(4): 118 (2017) - [j141]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): 577-599 (2017) - [j140]Ling Xu, Feng Ding
:
Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling. Circuits Syst. Signal Process. 36(4): 1735-1753 (2017) - [j139]Bingbing Shen, Feng Ding, Ahmed Alsaedi, Tasawar Hayat:
Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems. Circuits Syst. Signal Process. 36(5): 2166-2183 (2017) - [j138]Yan Ji, Feng Ding
:
Multiperiodicity and Exponential Attractivity of Neural Networks with Mixed Delays. Circuits Syst. Signal Process. 36(6): 2558-2573 (2017) - [j137]Meihang Li, Ximei Liu, Feng Ding
:
The Gradient-Based Iterative Estimation Algorithms for Bilinear Systems with Autoregressive Noise. Circuits Syst. Signal Process. 36(11): 4541-4568 (2017) - [j136]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: 211-223 (2017) - [j135]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): 228-237 (2017) - [j134]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): 265-274 (2017) - [j133]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): 745-764 (2017) - [j132]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): 593-609 (2017) - [j131]Feng Ding, Feifei Wang, Ling Xu, Minghu Wu:
Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering. J. Frankl. Inst. 354(3): 1321-1339 (2017) - [j130]Ping Ma, Feng Ding
:
New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering. J. Frankl. Inst. 354(3): 1568-1583 (2017) - [j129]Li Xie, Huizhong Yang, Feng Ding:
Identification of non-uniformly sampled-data systems with asynchronous input and output data. J. Frankl. Inst. 354(4): 1974-1991 (2017) - [j128]Meihang Li, Ximei Liu, Feng Ding
:
The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise. J. Frankl. Inst. 354(12): 4861-4881 (2017) - [j127]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): 6938-6955 (2017) - [j126]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): 7885-7898 (2017) - [j125]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: 53-67 (2017) - [j124]Jing Chen, Junxia Ma, Yanjun Liu, Feng Ding:
Identification methods for time-delay systems based on the redundant rules. Signal Process. 137: 192-198 (2017) - [j123]Ling Xu, Feng Ding, Ya Gu, Ahmed Alsaedi, Tasawar Hayat:
A multi-innovation state and parameter estimation algorithm for a state space system with d-step state-delay. Signal Process. 140: 97-103 (2017) - [c32]Ling Xu, Bingbing Shen, Feng Ding
, Dongqing Wang
:
Multi-innovation gradient parameter estimation algorithms for closed-loop Hammerstein nonlinear systems. ACC 2017: 152-157 - [c31]Yawen Mao, Feng Ding, Jian Pan, Wenfang Ding, Xiangkui Wan:
Filtering based least squares parameter estimation algorithms for Hammerstein nonlinear CARMA systems. ACC 2017: 574-579 - 2016
- [j122]Yawen Mao, Feng Ding
:
A novel parameter separation based identification algorithm for Hammerstein systems. Appl. Math. Lett. 60: 21-27 (2016) - [j121]Yanjiao Wang, Feng Ding
:
Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model. Autom. 71: 308-313 (2016) - [j120]Xuehai Wang, Feng Ding
:
Joint Estimation of States and Parameters for an Input Nonlinear State-Space System with Colored Noise Using the Filtering Technique. Circuits Syst. Signal Process. 35(2): 481-500 (2016) - [j119]Yawen Mao, Feng Ding
:
Data Filtering-Based Multi-innovation Stochastic Gradient Algorithm for Nonlinear Output Error Autoregressive Systems. Circuits Syst. Signal Process. 35(2): 651-667 (2016) - [j118]Feng Ding
, Xuehai Wang, Qijia Chen, Yongsong Xiao:
Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition. Circuits Syst. Signal Process. 35(9): 3323-3338 (2016) - [j117]Yanjiao Wang, Feng Ding
:
Recursive Parameter Estimation Algorithms and Convergence for a Class of Nonlinear Systems with Colored Noise. Circuits Syst. Signal Process. 35(10): 3461-3481 (2016) - [j116]Qianyan Shen, Feng Ding
:
Least Squares Identification for Hammerstein Multi-input Multi-output Systems Based on the Key-Term Separation Technique. Circuits Syst. Signal Process. 35(10): 3745-3758 (2016) - [j115]Xuehai Wang, Feng Ding
, Fuad E. Alsaadi, Tasawar Hayat:
Convergence Analysis of the Hierarchical Least Squares Algorithm for Bilinear-in-Parameter Systems. Circuits Syst. Signal Process. 35(12): 4307-4330 (2016) - [j114]Yawen Mao, Feng Ding
:
Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory. Int. J. Comput. Math. 93(11): 1869-1885 (2016) - [j113]Feifei Wang, Feng Ding:
Partially coupled gradient-based iterative identification methods for multivariable output-error moving average systems. Int. J. Model. Identif. Control. 26(4): 293-302 (2016) - [j112]Dongqing Wang
, Feng Ding
:
Parameter estimation algorithms for multivariable Hammerstein CARMA systems. Inf. Sci. 355-356: 237-248 (2016) - [j111]Feng Ding
, Ximei Liu, Xingyun Ma:
Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition. J. Comput. Appl. Math. 301: 135-143 (2016) - [j110]Feng Ding
, Ximei Liu, Ya Gu:
An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering. J. Frankl. Inst. 353(2): 398-408 (2016) - [j109]Huamin Zhang, Feng Ding
:
Iterative algorithms for X+ATX-1A=I by using the hierarchical identification principle. J. Frankl. Inst. 353(5): 1132-1146 (2016) - [j108]Feng Ding
, Ximei Liu
, Man-man Liu:
The recursive least squares identification algorithm for a class of Wiener nonlinear systems. J. Frankl. Inst. 353(7): 1518-1526 (2016) - [j107]Junxia Ma, Weili Xiong, Feng Ding
, Ahmed Alsaedi, Tasawar Hayat:
Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities. J. Frankl. Inst. 353(16): 4280-4299 (2016) - [j106]Yanjiao Wang, Feng Ding
:
The auxiliary model based hierarchical gradient algorithms and convergence analysis using the filtering technique. Signal Process. 128: 212-221 (2016) - [j105]Yawen Mao, Feng Ding
, Ahmed Alsaedi, Tasawar Hayat:
Adaptive filtering parameter estimation algorithms for Hammerstein nonlinear systems. Signal Process. 128: 417-425 (2016) - [c30]Li Xie, Huizhong Yang, Feng Ding
, Hongfeng Tao:
Novel input-output representation of general non-uniformly sampled-data systems. ACC 2016: 60-65 - [c29]Xiao Jiang, Jian Pan, Xiangkui Wan, Feng Ding
:
Multi-innovation extended stochastic gradient algorithm for multi-input multi-output controlled autoregressive moving average systems by using the filtering technique. ACC 2016: 925-929 - [c28]Ling Xu, Feng Ding
, Hongfeng Tao:
The adaptive damping iterative parameter estimation algorithm for dynamical systems. ACC 2016: 6332-6336 - 2015
- [j104]Dandan Meng, Feng Ding
:
Model Equivalence-Based Identification Algorithm for Equation-Error Systems with Colored Noise. Algorithms 8(2): 280-291 (2015) - [j103]Huibo Chen, Feng Ding
:
Hierarchical Least Squares Identification for Hammerstein Nonlinear Controlled Autoregressive Systems. Circuits Syst. Signal Process. 34(1): 61-75 (2015) - [j102]Xingyun Ma, Feng Ding
:
Gradient-Based Parameter Identification Algorithms for Observer Canonical State Space Systems Using State Estimates. Circuits Syst. Signal Process. 34(5): 1697-1709 (2015) - [j101]Feng Ding, Yanjiao Wang, Jie Ding:
Recursive least squares parameter identification algorithms for systems with colored noise using the filtering technique and the auxilary model. Digit. Signal Process. 37: 100-108 (2015) - [j100]Yawen Mao, Feng Ding
:
A novel data filtering based multi-innovation stochastic gradient algorithm for Hammerstein nonlinear systems. Digit. Signal Process. 46: 215-225 (2015) - [j99]Xingyun Ma, Feng Ding
:
Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems. J. Frankl. Inst. 352(1): 248-258 (2015) - [j98]Qianyan Shen, Feng Ding
:
Iterative identification methods for input nonlinear multivariable systems using the key-term separation principle. J. Frankl. Inst. 352(7): 2847-2865 (2015) - [j97]Lanjie Guo, Feng Ding
:
Least squares based iterative algorithm for pseudo-linear autoregressive moving average systems using the data filtering technique. J. Frankl. Inst. 352(10): 4339-4353 (2015) - [j96]Feng Ding
, Dandan Meng, Qi Wang:
The model equivalence based parameter estimation methods for Box-Jenkins systems. J. Frankl. Inst. 352(12): 5473-5485 (2015) - [j95]Feiyan Chen, Feng Ding
, Jie Sheng:
Maximum likelihood based recursive parameter estimation for controlled autoregressive ARMA systems using the data filtering technique. J. Frankl. Inst. 352(12): 5882-5896 (2015) - [j94]Ya Gu, Feng Ding
, Junhong Li:
States based iterative parameter estimation for a state space model with multi-state delays using decomposition. Signal Process. 106: 294-300 (2015) - [j93]Xuehai Wang, Feng Ding
:
Recursive parameter and state estimation for an input nonlinear state space system using the hierarchical identification principle. Signal Process. 117: 208-218 (2015) - [j92]Dongqing Wang
, Huabo Liu, Feng Ding
:
Highly Efficient Identification Methods for Dual-Rate Hammerstein Systems. IEEE Trans. Control. Syst. Technol. 23(5): 1952-1960 (2015) - 2014
- [j91]Huibo Chen, Yongsong Xiao, Feng Ding
:
Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle. Appl. Math. Comput. 247: 1202-1210 (2014) - [j90]Yanjun Liu, Feng Ding
, Yang Shi
:
An efficient hierarchical identification method for general dual-rate sampled-data systems. Autom. 50(3): 962-970 (2014) - [j89]Feng Ding, Kepo Deng, Ximei Liu:
Decomposition Based Newton Iterative Identification Method for a Hammerstein Nonlinear FIR System with ARMA Noise. Circuits Syst. Signal Process. 33(9): 2881-2893 (2014) - [j88]Junhong Li, Feng Ding
, Ping Jiang, Daqi Zhu:
Maximum Likelihood Recursive Least Squares Estimation for Multivariable Systems. Circuits Syst. Signal Process. 33(9): 2971-2986 (2014) - [j87]Ya Gu, Feng Ding
, Junhong Li:
State filtering and parameter estimation for linear systems with d-step state-delay. IET Signal Process. 8(6): 639-646 (2014) - [j86]Huibo Chen, Wenge Zhang, Feng Ding
:
Data filtering based least squares iterative algorithm for parameter identification of output error autoregressive systems. Inf. Process. Lett. 114(10): 573-578 (2014) - [j85]Feng Ding:
Hierarchical estimation algorithms for multivariable systems using measurement information. Inf. Sci. 277: 396-405 (2014) - [j84]Huamin Zhang, Feng Ding:
A property of the eigenvalues of the symmetric positive definite matrix and the iterative algorithm for coupled Sylvester matrix equations. J. Frankl. Inst. 351(1): 340-357 (2014) - [j83]Xuehai Wang, Feng Ding
:
Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems. J. Frankl. Inst. 351(10): 4749-4764 (2014) - [j82]Ya Gu, Feng Ding
:
Parameter estimation for an input nonlinear state space system with time delay. J. Frankl. Inst. 351(12): 5326-5339 (2014) - [j81]Huan Huang, Daqi Zhu, Feng Ding
:
Dynamic Task Assignment and Path Planning for Multi-AUV System in Variable Ocean Current Environment. J. Intell. Robotic Syst. 74(3-4): 999-1012 (2014) - [j80]Feng Ding, Ximei Liu, Huibo Chen, Guoyu Yao:
Hierarchical gradient based and hierarchical least squares based iterative parameter identification for CARARMA systems. Signal Process. 97: 31-39 (2014) - [j79]Feng Ding:
State filtering and parameter estimation for state space systems with scarce measurements. Signal Process. 104: 369-380 (2014) - 2013
- [j78]Feng Ding:
Computation of matrix exponentials of special matrices. Appl. Math. Comput. 223: 311-326 (2013) - [j77]Xiangli Li
, Feng Ding
:
Signal modeling using the gradient search. Appl. Math. Lett. 26(8): 807-813 (2013) - [j76]Junxia Ma, Feng Ding:
Recursive Relations of the Cost Functions for the Least-Squares Algorithms for Multivariable Systems. Circuits Syst. Signal Process. 32(1): 83-101 (2013) - [j75]Feng Ding, Ya Gu:
Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay. Circuits Syst. Signal Process. 32(2): 585-599 (2013) - [j74]Feng Ding, Honghong Duan:
Two-stage parameter estimation algorithms for Box-Jenkins systems. IET Signal Process. 7(8): 646-654 (2013) - [j73]Dongqing Wang
, Feng Ding, Yanyun Chu:
Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle. Inf. Sci. 222: 203-212 (2013) - [j72]Huamin Zhang, Feng Ding
:
On the Kronecker Products and Their Applications. J. Appl. Math. 2013: 296185:1-296185:8 (2013) - [j71]Ya Gu, Feng Ding:
Parameter estimation for a multivariable state space system with d-step state-delay. J. Frankl. Inst. 350(4): 724-736 (2013) - [j70]Peipei Hu, Feng Ding, Jie Sheng:
Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle. J. Frankl. Inst. 350(10): 3248-3259 (2013) - [j69]Qibing Jin, Jun Dou, Feng Ding, Liting Cao:
A novel identification method for Wiener systems with the limited information. Math. Comput. Model. 58(7-8): 1531-1539 (2013) - [j68]Feng Ding:
Decomposition based fast least squares algorithm for output error systems. Signal Process. 93(5): 1235-1242 (2013) - [c27]Huibo Chen, Feng Ding:
Decomposition based recursive least squares parameter estimation for Hammerstein nonlinear controlled autoregressive systems. ACC 2013: 2436-2441 - 2012
- [j67]Huiyi Hu, Feng Ding:
An iterative least squares estimation algorithm for controlled moving average systems based on matrix decomposition. Appl. Math. Lett. 25(12): 2332-2338 (2012) - [j66]Yanjun Liu, Feng Ding
, Yang Shi
:
Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle. Circuits Syst. Signal Process. 31(6): 1985-2000 (2012) - [j65]Feng Ding, Ya Gu:
Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems. Int. J. Comput. Math. 89(15): 2019-2028 (2012) - [j64]Feng Ding, Yanjun Liu, B. Bao:
Gradient-based and least-squares-based iterative estimation algorithms for multi-input multi-output systems. J. Syst. Control. Eng. 226(1): 43-55 (2012) - [j63]Junhong Li, Feng Ding, Guowei Yang:
Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems. Math. Comput. Model. 55(3-4): 442-450 (2012) - [j62]Lili Han, Fang-Xiang Wu
, Jie Sheng, Feng Ding:
Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model. Math. Comput. Simul. 82(5): 777-789 (2012) - [j61]Dongqing Wang
, Feng Ding:
Hierarchical Least Squares Estimation Algorithm for Hammerstein-Wiener Systems. IEEE Signal Process. Lett. 19(12): 825-828 (2012) - [c26]Feng Ding:
Separable gradient estimation algorithm for Hammerstein systems based on decompositions. ACC 2012: 3415-3420 - 2011
- [j60]Huanhuan Yin, Zhifang Zhu, Feng Ding
:
Model order determination using the Hankel matrix of impulse responses. Appl. Math. Lett. 24(5): 797-802 (2011) - [j59]Feng Ding
, Guangjun Liu, Peter Xiaoping Liu
:
Parameter estimation with scarce measurements. Autom. 47(8): 1646-1655 (2011) - [j58]Zhening Zhang, Feng Ding, Xinggao Liu:
Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems. Comput. Math. Appl. 61(3): 672-682 (2011) - [j57]Junhong Li, Feng Ding:
Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique. Comput. Math. Appl. 62(11): 4170-4177 (2011) - [j56]Feng Ding
, Peter Xiaoping Liu
, Guangjun Liu:
Identification methods for Hammerstein nonlinear systems. Digit. Signal Process. 21(2): 215-238 (2011) - [j55]Yongsong Xiao, Huibo Chen, Feng Ding:
Identification of multi-input systems based on correlation techniques. Int. J. Syst. Sci. 42(1): 139-147 (2011) - [j54]Li Xie, Huizhong Yang, Feng Ding:
Recursive least squares parameter estimation for non-uniformly sampled systems based on the data filtering. Math. Comput. Model. 54(1-2): 315-324 (2011) - [j53]Dongqing Wang
, Feng Ding
:
Least squares based and gradient based iterative identification for Wiener nonlinear systems. Signal Process. 91(5): 1182-1189 (2011) - [j52]Jie Ding, Feng Ding
, Peter Xiaoping Liu
, Guangjun Liu:
Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data. IEEE Trans. Autom. Control. 56(11): 2677-2683 (2011) - [c25]Yanjun Liu, Feng Ding, Yang Shi:
A new parameter estimation algorithm for non-uniformly multirate sampled-data systems. ACC 2011: 84-89 - [c24]Li Xie, Huizhong Yang, Yanjun Liu, Feng Ding:
Iterative solutions for general coupled matrix equations with real coefficients. ACC 2011: 669-674 - [c23]Li Xie, Huizhong Yang, Feng Ding:
Inferential adaptive control for non-uniformly sampled-data systems. ACC 2011: 4177-4182 - [c22]Zhening Zhang, Feng Ding, Dongqing Wang:
Gradient-based iterative parameter identification for multi-input multi-output OEMA-like models. ACC 2011: 4269-4274 - 2010
- [j51]Feng Ding
:
Transformations between some special matrices. Comput. Math. Appl. 59(8): 2676-2695 (2010) - [j50]Dongqing Wang
, Yanyun Chu, Feng Ding:
Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems. Comput. Math. Appl. 59(9): 3092-3098 (2010) - [j49]Jie Ding, Yanjun Liu, Feng Ding
:
Iterative solutions to matrix equations of the form AiXBi=Fi. Comput. Math. Appl. 59(11): 3500-3507 (2010) - [j48]Yanjun Liu, Li Yu, Feng Ding:
Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis. Circuits Syst. Signal Process. 29(4): 649-667 (2010) - [j47]Feng Ding, Peter Xiaoping Liu
, Guangjun Liu:
Gradient based and least-squares based iterative identification methods for OE and OEMA systems. Digit. Signal Process. 20(3): 664-677 (2010) - [j46]Dongqing Wang
, Feng Ding:
Performance analysis of the auxiliary models based multi-innovation stochastic gradient estimation algorithm for output error systems. Digit. Signal Process. 20(3): 750-762 (2010) - [j45]Dongqing Wang
, Feng Ding
:
Input-output data filtering based recursive least squares identification for CARARMA systems. Digit. Signal Process. 20(4): 991-999 (2010) - [j44]Feng Ding
:
Several multi-innovation identification methods. Digit. Signal Process. 20(4): 1027-1039 (2010) - [j43]Jie Ding, Yang Shi, Huigang Wang, Feng Ding
:
A modified stochastic gradient based parameter estimation algorithm for dual-rate sampled-data systems. Digit. Signal Process. 20(4): 1238-1247 (2010) - [j42]Yanjun Liu, Dongqing Wang
, Feng Ding:
Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data. Digit. Signal Process. 20(5): 1458-1467 (2010) - [j41]Yongsong Xiao, Dongqing Wang
, Feng Ding:
The residual-based ESG algorithm and its performance analysis. J. Frankl. Inst. 347(2): 426-437 (2010) - [j40]Heqiang Han, Li Xie, Feng Ding, Xinggao Liu:
Hierarchical least-squares based iterative identification for multivariable systems with moving average noises. Math. Comput. Model. 51(9-10): 1213-1220 (2010) - [j39]Dongqing Wang
, Yanyun Chu, Guowei Yang, Feng Ding:
Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems. Math. Comput. Model. 52(1-2): 309-317 (2010) - [j38]Feng Ding, Guangjun Liu, Xiaoping P. Liu
:
Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems. IEEE Trans. Autom. Control. 55(8): 1976-1981 (2010) - [j37]Feng Ding, Peter Xiaoping Liu
, Guangjun Liu:
Multiinnovation Least-Squares Identification for System Modeling. IEEE Trans. Syst. Man Cybern. Part B 40(3): 767-778 (2010)
2000 – 2009
- 2009
- [j36]Feng Ding, Li Qiu
, Tongwen Chen
:
Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems. Autom. 45(2): 324-332 (2009) - [j35]Lili Han, Feng Ding:
Identification for multirate multi-input systems using the multi-innovation identification theory. Comput. Math. Appl. 57(9): 1438-1449 (2009) - [j34]Li Xie, Jie Ding, Feng Ding
:
Gradient based iterative solutions for general linear matrix equations. Comput. Math. Appl. 58(7): 1441-1448 (2009) - [j33]Lili Han, Feng Ding
:
Multi-innovation stochastic gradient algorithms for multi-input multi-output systems. Digit. Signal Process. 19(4): 545-554 (2009) - [j32]Lili Han, Jie Sheng, Feng Ding
, Yang Shi:
Auxiliary model identification method for multirate multi-input systems based on least squares. Math. Comput. Model. 50(7-8): 1100-1106 (2009) - [j31]Jiabo Zhang, Feng Ding, Yang Shi:
Self-tuning control based on multi-innovation stochastic gradient parameter estimation. Syst. Control. Lett. 58(1): 69-75 (2009) - [j30]Feng Ding
, Peter Xiaoping Liu
, Guangjun Liu:
Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises. Signal Process. 89(10): 1883-1890 (2009) - [c21]Li Xie, Huizhong Yang, Jie Ding, Feng Ding:
Gradient-based iterative solutions for general matrix equations. ACC 2009: 500-505 - [c20]Yuwu Liao, Dongqing Wang
, Xiaoming Chen, Feng Ding:
On the residual based stochastic gradient algorithm for dual-rate sampled-data systems using the polynomial transform technique. ACC 2009: 3184-3187 - [c19]Feng Ding, Yanjun Liu:
Hierarchical stochastic gradient parameter estimation algorithms for multivariable systems with colored noises. ACC 2009: 3830-3835 - [c18]Jing Lu, Xinggao Liu, Feng Ding:
Least-squares based iterative parameter estimation for two-input multirate sampled-data systems. ACC 2009: 4379-4383 - [c17]Feng Ding, Jie Ding:
Parameter estimation algorithms for missing-data systems. ACC 2009: 5032-5036 - [c16]Yongsong Xiao, Huibo Chen, Jiyang Dai, Feng Ding:
Self-tuning control of dual-rate systems with input nonlinearities. ACC 2009: 5168-5173 - [c15]Dongqing Wang
, Feng Ding, Peter X. Liu
:
Multi-innovation stochastic gradient algorithm for output error systems based on the auxiliary model. ACC 2009: 5594-5597 - [c14]Lili Han, Jie Sheng, Feng Ding, Yang Shi:
Recursive least squares identification for multirate multi-input single-output systems. ACC 2009: 5604-5609 - [c13]Dongqing Wang
, Jiyang Dai, Feng Ding:
Gradient-based iterative parameter estimation for Box-Jenkins systems with finite measurement data. CDC 2009: 239-243 - [c12]Jie Ding, Yanjun Liu, Feng Ding:
Iterative solutions to matrix equations of form. CDC 2009: 1725-1728 - [c11]Dongqing Wang
, Yanyun Chu, Feng Ding:
Identification methods for Wiener nonlinear systems based on the least squares and gradient iterations. CDC 2009: 3632-3636 - [c10]Yanjun Liu, Feng Ding:
Decomposition based least squares estimation algorithm for non-uniformly sampled multirate systems. CDC 2009: 7256-7260 - [c9]Feng Ding, Peter Xiaoping Liu, Guangjun Liu:
Auxiliary models based multi-innovation gradient identification with colored measurement noises. ICRA 2009: 448-452 - 2008
- [j29]Feng Ding
, Peter Xiaoping Liu
, Jie Ding:
Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle. Appl. Math. Comput. 197(1): 41-50 (2008) - [j28]Jie Ding, Feng Ding
, Shi Zhang:
Parameter identification of multi-input, single-output systems based on FIR models and least squares principle. Appl. Math. Comput. 197(1): 297-305 (2008) - [j27]Feng Ding, Huizhong Yang, Fei Liu:
Performance analysis of stochastic gradient algorithms under weak conditions. Sci. China Ser. F Inf. Sci. 51(9): 1269-1280 (2008) - [j26]Jie Ding, Feng Ding
:
The residual based extended least squares identification method for dual-rate systems. Comput. Math. Appl. 56(6): 1479-1487 (2008) - [j25]Dongqing Wang
, Feng Ding
:
Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems. Comput. Math. Appl. 56(12): 3157-3164 (2008) - [j24]Feng Ding, Peter Xiaoping Liu
, Huizhong Yang:
Parameter Identification and Intersample Output Estimation for Dual-Rate Systems. IEEE Trans. Syst. Man Cybern. Part A 38(4): 966-975 (2008) - [j23]Feng Ding, Yang Shi, Tongwen Chen
:
Amendments to "Performance Analysis of Estimation Algorithms of Nonstationary ARMA Processes" [Mar 06 1041-1053]. IEEE Trans. Signal Process. 56(10-1): 4983-4984 (2008) - [c8]Ping Yuan, Feng Ding, Peter Xiaoping Liu
:
HLS parameter estimation for multi-input multi-output systems. ICRA 2008: 857-861 - 2007
- [j22]Feng Ding, Yongsong Xiao:
A finite-data-window least squares algorithm with a forgetting factor for dynamical modeling. Appl. Math. Comput. 186(1): 184-192 (2007) - [j21]Feng Ding, Huibo Chen, Ming Li:
Multi-innovation least squares identification methods based on the auxiliary model for MISO systems. Appl. Math. Comput. 187(2): 658-668 (2007) - [j20]Lingyun Wang, Feng Ding, Peter Xiaoping Liu
:
Convergence of HLS estimation algorithms for multivariable ARX-like systems. Appl. Math. Comput. 190(2): 1081-1093 (2007) - [j19]Feng Ding
, Tongwen Chen
:
Performance analysis of multi-innovation gradient type identification methods. Autom. 43(1): 1-14 (2007) - [j18]Feng Ding
, Tongwen Chen
:
Author's reply to "comments on 'identification of Hammerstein nonlinear ARMAX systems'". Autom. 43(8): 1479 (2007) - [j17]Huizhong Yang, Jiang Li, Feng Ding:
A neural network learning algorithm of chemical process modeling based on the extended Kalman filter. Neurocomputing 70(4-6): 625-632 (2007) - [j16]Feng Ding, Yang Shi, Tongwen Chen
:
Auxiliary model-based least-squares identification methods for Hammerstein output-error systems. Syst. Control. Lett. 56(5): 373-380 (2007) - [j15]Feng Ding, Tongwen Chen
, Zenta Iwai:
Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling. SIAM J. Control. Optim. 45(6): 2257-2276 (2007) - 2006
- [j14]Feng Ding, Peter Xiaoping Liu
, Yang Shi:
Convergence analysis of estimation algorithms for dual-rate stochastic systems. Appl. Math. Comput. 176(1): 245-261 (2006) - [j13]Feng Ding
, Tongwen Chen
:
On Iterative Solutions of General Coupled Matrix Equations. SIAM J. Control. Optim. 44(6): 2269-2284 (2006) - [j12]Feng Ding, Tongwen Chen
, Li Qiu
:
Bias compensation based recursive least-squares identification algorithm for MISO systems. IEEE Trans. Circuits Syst. II Express Briefs 53-II(5): 349-353 (2006) - [j11]Yang Shi, Feng Ding, Tongwen Chen
:
Multirate Crosstalk Identification in xDSL Systems. IEEE Trans. Commun. 54(10): 1878-1886 (2006) - [j10]Feng Ding
, Yang Shi, Tongwen Chen
:
Performance analysis of estimation algorithms of nonstationary ARMA processes. IEEE Trans. Signal Process. 54(3): 1041-1053 (2006) - [c7]Hui-Zhong Yang, Jun Tian, Feng Ding:
The Forgetting Gradient Algorithm for Parameter and Intersample Estimation of Dual-Rate Systems. ICONIP (2) 2006: 721-728 - 2005
- [j9]Feng Ding
, Tongwen Chen
:
Hierarchical gradient-based identification of multivariable discrete-time systems. Autom. 41(2): 315-325 (2005) - [j8]Feng Ding
, Tongwen Chen
:
Identification of Hammerstein nonlinear ARMAX systems. Autom. 41(9): 1479-1489 (2005) - [j7]Feng Ding
, Tongwen Chen
:
Iterative least-squares solutions of coupled Sylvester matrix equations. Syst. Control. Lett. 54(2): 95-107 (2005) - [j6]Feng Ding, Tongwen Chen
:
Hierarchical least squares identification methods for multivariable systems. IEEE Trans. Autom. Control. 50(3): 397-402 (2005) - [j5]Feng Ding
, Tongwen Chen
:
Gradient Based Iterative Algorithms for Solving a Class of Matrix Equations. IEEE Trans. Autom. Control. 50(8): 1216-1221 (2005) - [j4]Feng Ding, Tongwen Chen
:
Parameter estimation of dual-rate stochastic systems by using an output error method. IEEE Trans. Autom. Control. 50(9): 1436-1441 (2005) - [j3]Feng Ding, Tongwen Chen
:
Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(3): 555-566 (2005) - [j2]Feng Ding, Tongwen Chen
:
Hierarchical identification of lifted state-space models for general dual-rate systems. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(6): 1179-1187 (2005) - [c6]Feng Ding, Tongwen Chen:
On consistency of stochastic gradient algorithms for ARMAX models with disturbances. ACC 2005: 4464-4469 - [c5]Feng Ding, Yang Shi, Tongwen Chen:
Least squares identification of non-stationary MA systems. ACC 2005: 4778-4783 - [c4]Hui-Zhong Yang, Xin-Guang Shao, Feng Ding:
A New Smooth Support Vector Regression Based on epsilon-Insensitive Logistic Loss Function. ICNC (1) 2005: 25-32 - 2004
- [j1]Feng Ding, Tongwen Chen
:
Combined parameter and output estimation of dual-rate systems using an auxiliary model. Autom. 40(10): 1739-1748 (2004) - [c3]Feng Ding, Tongwen Chen:
Adaptive control of dual-rate systems based on least squares methods. ACC 2004: 3508-3513 - [c2]Feng Ding, Tongwen Chen:
On iterative solutions of a class of matrix equations in systems and control. ACC 2004: 5635-5640 - 2003
- [c1]Feng Ding, Tongwen Chen
:
Parameter identification and intersample output estimation of a class of dual-rate systems. CDC 2003: 5555-5560
Coauthor Index
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