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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:

Partially‐coupled least squares based iterative parameter estimation for multi‐variable output‐error‐like autoregressive moving average systems
Hao Ma, Jian Pan, Feng Ding, et al.
IET Control Theory and Applications (2019) Vol. 13, Iss. 18, pp. 3040-3051
Closed Access | Times Cited: 191

Showing 1-25 of 191 citing articles:

Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
Yan Ji, Jiang Xiao-kun, Lijuan Wan
Journal of the Franklin Institute (2020) Vol. 357, Iss. 8, pp. 5019-5032
Closed Access | Times Cited: 196
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
Parameter estimation for block‐oriented nonlinear systems using the key term separation
Yan Ji, Chen Zhang, Zhen Kang, et al.
International Journal of Robust and Nonlinear Control (2020) Vol. 30, Iss. 9, pp. 3727-3752
Closed Access | Times Cited: 189
Maximum Likelihood Least Squares Based Iterative Estimation for a Class of Bilinear Systems Using the Data Filtering Technique
Meihang Li, Ximei Liu
International Journal of Control Automation and Systems (2019) Vol. 18, Iss. 6, pp. 1581-1592
Closed Access | Times Cited: 185
Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data
Feng Ding
Journal of Computational and Applied Mathematics (2023) Vol. 426, pp. 115107-115107
Closed Access | Times Cited: 182
Two-stage Gradient-based Iterative Estimation Methods for Controlled Autoregressive Systems Using the Measurement Data
Feng Ding, Lei Lv, Jian Pan, et al.
International Journal of Control Automation and Systems (2019) Vol. 18, Iss. 4, pp. 886-896
Closed Access | Times Cited: 177
Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
Yan Ji, Zhen Kang
International Journal of Robust and Nonlinear Control (2020) Vol. 31, Iss. 3, pp. 971-987
Closed Access | Times Cited: 172
A Recursive Parameter Estimation Algorithm for Modeling Signals with Multi-frequencies
Ling Xu, Guanglei Song
Circuits Systems and Signal Processing (2020) Vol. 39, Iss. 8, pp. 4198-4224
Closed Access | Times Cited: 158
Recursive coupled projection algorithms for multivariable output‐error‐like systems with coloured noises
Jian Pan, Hao Ma, Xiao Zhang, et al.
IET Signal Processing (2020) Vol. 14, Iss. 7, pp. 455-466
Open Access | Times Cited: 156
Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
Yamin Fan, Ximei Liu
International Journal of Robust and Nonlinear Control (2020) Vol. 30, Iss. 14, pp. 5492-5509
Closed Access | Times Cited: 151
Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model
Feng Ding, Ling Xu, Dandan Meng, et al.
Journal of Computational and Applied Mathematics (2019) Vol. 369, pp. 112575-112575
Open Access | Times Cited: 146
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 identification methods for a class of bilinear systems by using the particle filtering technique
Meihang Li, Ximei Liu
International Journal of Adaptive Control and Signal Processing (2021) Vol. 35, Iss. 10, pp. 2056-2074
Closed Access | Times Cited: 140
Filtered auxiliary model recursive generalized extended parameter estimation methods for Box–Jenkins systems by means of the filtering identification idea
Feng Ding, Ling Xu, Xiao Zhang, et al.
International Journal of Robust and Nonlinear Control (2023) Vol. 33, Iss. 10, pp. 5510-5535
Closed Access | Times Cited: 133
The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems
Yan Ji, Zhen Kang, Ximei Liu
International Journal of Robust and Nonlinear Control (2021) Vol. 31, Iss. 15, pp. 7007-7025
Closed Access | Times Cited: 130
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
Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models
Yihong Zhou, Xiao Zhang, Feng Ding
Applied Mathematics and Computation (2021) Vol. 414, pp. 126663-126663
Closed Access | Times Cited: 117
PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data
Xuebo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 610-610
Open Access | Times Cited: 108
Parameter Estimation for Nonlinear Functions Related to System Responses
Ling Xu
International Journal of Control Automation and Systems (2023) Vol. 21, Iss. 6, pp. 1780-1792
Closed Access | Times Cited: 103
A Spatial Feature-Enhanced Attention Neural Network with High-Order Pooling Representation for Application in Pest and Disease Recognition
Jianlei Kong, Hongxing Wang, Chengcai Yang, et al.
Agriculture (2022) Vol. 12, Iss. 4, pp. 500-500
Open Access | Times Cited: 98
A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System
Xuebo Jin, Jiashuai Zhang, Jianlei Kong, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 591-591
Open Access | Times Cited: 93
Separable synthesis gradient estimation methods and convergence analysis for multivariable systems
Ling Xu, Feng Ding
Journal of Computational and Applied Mathematics (2023) Vol. 427, pp. 115104-115104
Closed Access | Times Cited: 92
Gradient-based Parameter Estimation for a Nonlinear Exponential Autoregressive Time-series Model by Using the Multi-innovation
Jian Pan, Yuqing Liu, Jun Shu
International Journal of Control Automation and Systems (2023) Vol. 21, Iss. 1, pp. 140-150
Closed Access | Times Cited: 85
Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory
Yan Ji, Zhen Kang, Xiao Zhang, et al.
Journal of the Franklin Institute (2022) Vol. 359, Iss. 5, pp. 2317-2339
Closed Access | Times Cited: 82
Joint two‐stage multi‐innovation recursive least squares parameter and fractional‐order estimation algorithm for the fractional‐order input nonlinear output‐error autoregressive model
Chong Hu, Yan Ji, Caiqing Ma
International Journal of Adaptive Control and Signal Processing (2023) Vol. 37, Iss. 7, pp. 1650-1670
Closed Access | Times Cited: 80
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