Jing Chen

According to our database, Jing Chen authored at least 51 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Variable Projection Algorithm for GPS Positioning in Multipath Environments Based on Aitken Acceleration Method.

Lianyuan Cheng, Jing Chen, Yanjun Liu, Quanmin Zhu

IEEE Trans. Ind. Informatics, April, 2024

The Nesterov accelerated gradient algorithm for Auto-Regressive Exogenous models with random lost measurements: Interpolation method and auxiliary model method.

Fei Xu, Lianyuan Cheng, Jing Chen, Quanmin Zhu

Inf. Sci., February, 2024

Sequential stabilizing spline algorithm for linear systems: Eigenvalue approximation and polishing.

Jing Chen, Yanjun Liu, Min Gan, Quanmin Zhu

Autom., January, 2024

2023

Expectation Maximization Algorithm for GPS Positioning in Multipath Environments Based on Volterra Series.

Lianyuan Cheng, Jing Chen, Yawen Mao, Cuicui Liao, Quanmin Zhu

Circuits Syst. Signal Process., October, 2023

Greedy Search Method for Separable Nonlinear Models Using Stage Aitken Gradient Descent and Least Squares Algorithms.

Jing Chen, Yawen Mao, Min Gan, Dongqing Wang, Quanmin Zhu

IEEE Trans. Autom. Control., August, 2023

Embedded Point Iteration Based Recursive Algorithm for Online Identification of Nonlinear Regression Models.

Guang-Yong Chen, Min Gan, Jing Chen, Long Chen

IEEE Trans. Autom. Control., July, 2023

A Comprehensive Expectation Identification Framework for Multirate Time-Delayed Systems.

Jing Chen, Jie Gao, Yanjun Liu, Cheng Wang, Quanmin Zhu

IEEE Trans. Ind. Informatics, May, 2023

Two Iterative Reweighted Algorithms for Systems Contaminated by Outliers.

Jing Chen, Manfeng Hu, Yanjun Liu, Quanmin Zhu

IEEE Trans. Instrum. Meas., 2023

Nonsingular Fast Terminal Sliding Mode Neural Network Decentralized Control of a Quadrotor Unmanned Aerial Vehicle.

Yuqing Mao, Jing Chen

Complex., 2023

2022

Varying Infimum Gradient Descent Algorithm for Agent-Sever Systems Using Different Order Iterative Preconditioning Methods.

Jing Chen, Dongqing Wang, Yanjun Liu, Quanmin Zhu

IEEE Trans. Ind. Informatics, 2022

Robust Standard Gradient Descent Algorithm for ARX Models Using Aitken Acceleration Technique.

Jing Chen, Min Gan, Quanmin Zhu, Pritesh Narayan, Yanjun Liu

IEEE Trans. Cybern., 2022

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

Jing Chen, Feng Ding, Manfeng Hu, Quanmin Zhu

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Multidirection Gradient Iterative Algorithm: A Unified Framework for Gradient Iterative and Least Squares Algorithms.

Jing Chen, Junxia Ma, Min Gan, Quanmin Zhu

IEEE Trans. Autom. Control., 2022

Modified Multi-Direction Iterative Algorithm for Separable Nonlinear Models With Missing Data.

Jing Chen, Manfeng Hu, Yawen Mao, Quanmin Zhu

IEEE Signal Process. Lett., 2022

Ridge regression and lasso regression based least squares algorithm for a time-delayed rational model via redundant rule.

Zili Zhang, Jing Chen, Yawen Mao

Int. J. Model. Identif. Control., 2022

Fractional-Based Stochastic Gradient Algorithms for Time-Delayed ARX Models.

Tianyang Xu, Jing Chen, Yan Pu, Liuxiao Guo

Circuits Syst. Signal Process., 2022

Accelerated Identification Algorithms for Exponential Nonlinear Models: Two-Stage Method and Particle Swarm Optimization Method.

Yan Pu, Yingjiao Rong, Jing Chen, Yawen Mao

Circuits Syst. Signal Process., 2022

Adaptive regularised kernel-based identification method for large-scale systems with unknown order.

Jing Chen, Yawen Mao, Min Gan, Feng Ding

Autom., 2022

2021

Varying Infimum Gradient Descent Algorithm for Agent-Server Systems With Uncertain Communication Network.

Jing Chen, Min Gan, Quanmin Zhu, Yawen Mao

IEEE Trans. Instrum. Meas., 2021

Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation-Maximization Algorithm.

Jing Chen, Biao Huang, Feng Ding

IEEE Trans. Ind. Informatics, 2021

DB-YOLO: A Duplicate Bilateral YOLO Network for Multi-Scale Ship Detection in SAR Images.

Haozhen Zhu, Yao Xie, Huihui Huang, Jing Chen, Yingjiao Rong, Changyuan Wang

Sensors, 2021

A generalized minimal residual based iterative back propagation algorithm for polynomial nonlinear models.

Jing Chen, Yingjiao Rong, Quanmin Zhu, Budi Chandra, Hong-Xiu Zhong

Syst. Control. Lett., 2021

Back-propagation algorithm to estimate the parameters of auto-regressive exogenous model.

Tianyang Xu, Jing Chen, Yingjiao Rong

Int. J. Model. Identif. Control., 2021

Some Stochastic Gradient Algorithms for Hammerstein Systems with Piecewise Linearity.

Yan Pu, Yongqing Yang, Jing Chen

Circuits Syst. Signal Process., 2021

A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace.

Jing Chen, Biao Huang, Min Gan, C. L. Philip Chen

Autom., 2021

A Kalman smoother based estimation approach for dynamic adjustment systems with irregularly missing output data.

Shaohua Ding, Yanjun Liu, Jing Chen, Junxia Ma

Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020

Gradient-Based Particle Filter Algorithm for an ARX Model With Nonlinear Communication Output.

Jing Chen, Yanjun Liu, Feng Ding, Quanmin Zhu

IEEE Trans. Syst. Man Cybern. Syst., 2020

Interval Error Correction Auxiliary Model Based Gradient Iterative Algorithms for Multirate ARX Models.

Jing Chen, Feng Ding, Quanmin Zhu, Yanjun Liu

IEEE Trans. Autom. Control., 2020

Global convergence of the EM algorithm for ARX models with uncertain communication channels.

Jing Chen, Biao Huang, Quanmin Zhu, Yanjun Liu, Lun Li

Syst. Control. Lett., 2020

Expectation maximization identification algorithm for time-delay two-dimensional systems.

Jing Chen, Qianyan Shen, Yanjun Liu, Lijuan Wan

J. Frankl. Inst., 2020

Auxiliary Variable-Based Identification Algorithms for Uncertain-Input Models.

Jing Chen, Quanmin Zhu, Budi Chandra, Yan Pu

Circuits Syst. Signal Process., 2020

Parameter Identification of ARX Models Based on Modified Momentum Gradient Descent Algorithm.

Quan Tu, Yingjiao Rong, Jing Chen

Complex., 2020

Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs.

Jing Chen, Quanmin Zhu, Yanjun Liu

Autom., 2020

A Novel Identification Method for a Class of Closed-Loop Systems Based on Basis Pursuit De-Noising.

Ying Chen, Yanjun Liu, Jing Chen, Junxia Ma

IEEE Access, 2020

2019

Iterative identification for multiple-input systems with time-delays based on greedy pursuit and auxiliary model.

Junyao You, Yanjun Liu, Jing Chen, Feng Ding

J. Frankl. Inst., 2019

Aitken based modified Kalman filtering stochastic gradient algorithm for dual-rate nonlinear models.

Jing Chen, Yong Zhang, Quanmin Zhu, Yanjun Liu

J. Frankl. Inst., 2019

Maximum likelihood based identification methods for rational models.

Jing Chen, Feng Ding, Quanmin Zhu, Yanjun Liu

Int. J. Syst. Sci., 2019

A novel maximum likelihood-based stochastic gradient algorithm for Hammerstein nonlinear systems with coloured noise.

Yan Pu, Jing Chen

Int. J. Model. Identif. Control., 2019

Multi-innovation Stochastic Gradient Algorithms for Input Nonlinear Time-Varying Systems Based on the Line Search Strategy.

Qianyan Shen, Jing Chen, Xingyun Ma

Circuits Syst. Signal Process., 2019

2018

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

Jing Chen, Feng Ding, Yanjun Liu, Quanmin Zhu

Syst. Control. Lett., 2018

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

Junxia Ma, Jing Chen, Weili Xiong, Feng Ding

Digit. Signal Process., 2018

Variational Bayesian-Based Iterative Algorithm for ARX Models with Random Missing Outputs.

Jing Chen, Yanjun Liu

Circuits Syst. Signal Process., 2018

Variational Bayesian approach for ARX systems with missing observations and varying time-delays.

Jing Chen, Biao Huang, Feng Ding, Ya Gu

Autom., 2018

2017

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

Jing Chen, Junxia Ma, Yanjun Liu, Feng Ding

Signal Process., 2017

Gradient iterative algorithm for dual-rate nonlinear systems based on a novel particle filter.

Jing Chen, Juan Li, Yanjun Liu

J. Frankl. Inst., 2017

Recursive Least Squares Algorithm for Nonlinear Dual-rate Systems Using Missing-Output Estimation Model.

Jing Chen, Yanjun Liu, Xuehai Wang

Circuits Syst. Signal Process., 2017

2015

Identification of Hammerstein systems with continuous nonlinearity.

Jing Chen, Xiuping Wang

Inf. Process. Lett., 2015

2014

Stochastic gradient algorithm for a dual-rate Box-Jenkins model based on auxiliary model and FIRmode.

Jing Chen, Ruifeng Ding

J. Zhejiang Univ. Sci. C, 2014

2013

Multi-innovation stochastic gradient algorithms for dual-rate sampled systems with preload nonlinearity.

Jing Chen, Lixing Lv, Ruifeng Ding

Appl. Math. Lett., 2013

2010

Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems.

Jing Chen, Yan Zhang, Ruifeng Ding

Math. Comput. Model., 2010

Multi-innovation Generalized Extended Stochastic Gradient Algorithm for Multi-Input Multi-Output Nonlinear Box-Jenkins Systems Based on the Auxiliary Model.

Jing Chen, Xiuping Wang

Proceedings of the Life System Modeling and Intelligent Computing, 2010