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ORCIDFeng 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
![[0000-0003-1850-6336]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1850-6336")
— 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
- 2025
[j236]Junwei Wang, Weili Xiong, Feng Ding, Yihong Zhou, Erfu Yang:
Parameter estimation method for separable fractional-order Hammerstein nonlinear systems based on the on-line measurements. Appl. Math. Comput. 488: 129102 (2025)- 2024
- [j235]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) - [j234]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) - [j233]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) - [j232]Ning Xu, Qinyao Liu, Feng Ding:
Gradient-Based Recursive Parameter Estimation Methods for a Class of Time-Varying Systems from Noisy Observations. Circuits Syst. Signal Process. 43(11): 7089-7116 (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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, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:35 CET by the dblp team
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