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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A New Iterative Least Squares Parameter Estimation Approach for Equation-error Autoregressive Systems
Lijuan Wan, Feng Ding, Ximei Liu, et al.
International Journal of Control Automation and Systems (2019) Vol. 18, Iss. 3, pp. 780-790
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Separable Newton Recursive Estimation Method Through System Responses Based on Dynamically Discrete Measurements with Increasing Data Length
Ling Xu
International Journal of Control Automation and Systems (2022) Vol. 20, Iss. 2, pp. 432-443
Closed Access | Times Cited: 194
Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems
Ling Xu, Feng Ding, Erfu Yang
International Journal of Robust and Nonlinear Control (2020) Vol. 31, Iss. 1, pp. 148-165
Closed Access | Times Cited: 170
Separable Multi-innovation Newton Iterative Modeling Algorithm for Multi-frequency Signals Based on the Sliding Measurement Window
Ling Xu
Circuits Systems and Signal Processing (2021) Vol. 41, Iss. 2, pp. 805-830
Closed Access | Times Cited: 144
Iterative parameter and order identification for fractional‐order nonlinear finite impulse response systems using the key term separation
Jun‐Wei Wang, Yan Ji, Chen Zhang
International Journal of Adaptive Control and Signal Processing (2021) Vol. 35, Iss. 8, pp. 1562-1577
Closed Access | Times Cited: 119
Two-stage Gradient-based Recursive Estimation for Nonlinear Models by Using the Data Filtering
Yan Ji, Zhen Kang, Chen Zhang
International Journal of Control Automation and Systems (2021) Vol. 19, Iss. 8, pp. 2706-2715
Closed Access | Times Cited: 93
Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output‐error systems
Zhen Kang, Yan Ji, Ximei Liu
International Journal of Adaptive Control and Signal Processing (2021) Vol. 35, Iss. 11, pp. 2276-2295
Closed Access | Times Cited: 87
Extended Gradient-based Iterative Algorithm for Bilinear State-space Systems with Moving Average Noises by Using the Filtering Technique
Siyu Liu, Yanliang Zhang, Ling Xu, et al.
International Journal of Control Automation and Systems (2021) Vol. 19, Iss. 4, pp. 1597-1606
Closed Access | Times Cited: 34
Parameter estimation algorithms of linear systems with time-delays based on the frequency responses and harmonic balances under the multi-frequency sinusoidal signal excitation
Jiayao Ni, Yanliang Zhang, Feng Ding, et al.
Signal Processing (2020) Vol. 181, pp. 107904-107904
Closed Access | Times Cited: 20
Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics
Yamin Fan, Ximei Liu
Journal of the Franklin Institute (2021) Vol. 358, Iss. 18, pp. 9818-9840
Closed Access | Times Cited: 16
Hierarchical extended least squares estimation approaches for a multi-input multi-output stochastic system with colored noise from observation data
Feng Ding, Xiao Zhang, Xian Lu, et al.
Journal of the Franklin Institute (2020) Vol. 357, Iss. 15, pp. 11094-11110
Closed Access | Times Cited: 14
A New Variational Bayesian-based Kalman Filter with Random Measurement Delay and Non-Gaussian Noises
Chenghao Shan, Weidong Zhou, Hanyu Shan, et al.
International Journal of Control Automation and Systems (2022) Vol. 20, Iss. 8, pp. 2594-2605
Closed Access | Times Cited: 7
Research on UWB Indoor Positioning System Based on TOF Combined Residual Weighting
Jinmin Yang, Chunhua Zhu
Sensors (2023) Vol. 23, Iss. 3, pp. 1455-1455
Open Access | Times Cited: 3
Identification of Moment of Inertia for PMSM Using Improved Modelreference Adaptive System
Jinhua She, Lulu Wu, Chuan‐Ke Zhang, et al.
International Journal of Control Automation and Systems (2022) Vol. 20, Iss. 1, pp. 13-23
Closed Access | Times Cited: 5
Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting
Xuebo Jin, Jiahui Zhang, Tingli Su, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 6
An Improved Method for Stochastic Nonlinear System’s Identification Using Fuzzy-Type Output-Error Autoregressive Hammerstein–Wiener Model Based on Gradient Algorithm, Multi-Innovation, and Data Filtering Techniques
Donia Ben Halima Abid, Saif Eddine Abouda, Hanane Medhaffar, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 6
Gradient-based Iterative Parameter Estimation for a Finite Impulse Response System with Saturation Nonlinearity
Xiao Wang, Yingjiao Rong, Cheng Wang, et al.
International Journal of Control Automation and Systems (2022) Vol. 20, Iss. 1, pp. 73-83
Closed Access | Times Cited: 4
Two‐stage recursive identification algorithms for a class of nonlinear time series models with colored noise
Huan Xu, Feng Ding, Min Gan, et al.
International Journal of Robust and Nonlinear Control (2020) Vol. 30, Iss. 17, pp. 7766-7782
Open Access | Times Cited: 5
Adaptive Parameter Identification for Nonlinear Sandwich Systems with Hysteresis Nonlinearity Based Guaranteed Performance
Linwei Li, Huanlong Zhang, Fengxian Wang, et al.
International Journal of Control Automation and Systems (2020) Vol. 19, Iss. 2, pp. 942-952
Closed Access | Times Cited: 5
Data filtering‐based recursive identification for an exponential autoregressive moving average model by using the multi‐innovation theory
Huan Xu, Fengying Ma, Feng Ding, et al.
IET Control Theory and Applications (2020) Vol. 14, Iss. 17, pp. 2526-2534
Open Access | Times Cited: 5
Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
Yucong You
Journal of Mathematics (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 3
Identification of the nonlinear systems based on the kernel functions
Jimei Li, Feng Ding, Erfu Yang
International Journal of Robust and Nonlinear Control (2021) Vol. 31, Iss. 14, pp. 6917-6933
Open Access | Times Cited: 4
Three‐stage least squares‐based iterative estimation algorithms for bilinear state‐space systems based on the bilinear state estimator
Siyu Liu, Yanliang Zhang, Feng Ding, et al.
International Journal of Adaptive Control and Signal Processing (2020) Vol. 34, Iss. 10, pp. 1501-1518
Closed Access | Times Cited: 3
Recursive least-squares algorithm for a characteristic model with coloured noise by means of the data filtering technique
Lanjie Guo, Hao Wang, Zhe Lin
International Journal of Systems Science (2021) Vol. 52, Iss. 11, pp. 2397-2413
Closed Access | Times Cited: 3
Cross-Database Micro-Expression Recognition Exploiting Intradomain Structure
Yanliang Zhang, Ying Liu, Hao Wang
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 3
Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window
Siyu Liu, Li Xie, Ling Xu, et al.
Journal of the Franklin Institute (2020) Vol. 357, Iss. 15, pp. 11021-11041
Closed Access | Times Cited: 2
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