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2020 – today
- 2025
[j46]Limin Wang, Linzhu Jia
, Tao Zou, Ridong Zhang, Furong Gao:
Two-dimensional reinforcement learning model-free fault-tolerant control for batch processes against multi- faults. Comput. Chem. Eng. 192: 108883 (2025)- 2024
- [j45]Limin Wang, Hui Li, Ridong Zhang, Furong Gao:
Two-dimensional optimization design of constrained minmax model predictive tolerant-fault control for nonlinear batch processes. Comput. Chem. Eng. 183: 108617 (2024) - [j44]Lei Wang, Qiang Lv, Feng Wu, Ridong Zhang, Furong Gao:
Non-excitation closed-loop identification based on hysteresis bias relay feedback. Comput. Chem. Eng. 188: 108776 (2024) - 2023
- [j43]Limin Wang, Linzhu Jia, Ridong Zhang, Furong Gao:
H∞output feedback fault-tolerant control of industrial processes based on zero-sum games and off-policy Q-learning. Comput. Chem. Eng. 179: 108421 (2023) - [j42]Kai Liu, Ningyun Lu, Feng Wu, Ridong Zhang, Furong Gao:
Model Fusion and Multiscale Feature Learning for Fault Diagnosis of Industrial Processes. IEEE Trans. Cybern. 53(10): 6465-6478 (2023) - [c2]Linzhu Jia, Limin Wang, Ridong Zhang, Furong Gao:
Off-policy Q-learning-based Output Feedback Fault-tolerant Tracking Control of Industrial Processes. SAFEPROCESS 2023: 1-6 - 2022
- [j41]Nan Wang, Fan Yang, Ridong Zhang, Furong Gao:
Intelligent Fault Diagnosis for Chemical Processes Using Deep Learning Multimodel Fusion. IEEE Trans. Cybern. 52(7): 7121-7135 (2022) - [j40]Jili Tao, Ridong Zhang, Zhijun Qiao, Longhua Ma:
Q-Learning-based fuzzy energy management for fuel cell/supercapacitor HEV. Trans. Inst. Meas. Control 44(10): 1939-1949 (2022) - [j39]Jili Tao, Ridong Zhang:
Intelligent Feature Selection Using GA and Neural Network Optimization for Real-Time Driving Pattern Recognition. IEEE Trans. Intell. Transp. Syst. 23(8): 12665-12674 (2022) - [j38]Sheng Wu, Ridong Zhang:
Improved LQ Tracking Control Design for Industrial Processes Under Uncertainty: The Extended Nonminimal State Space Approach. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 1356-1360 (2022) - 2021
- [j37]Jili Tao, Zheng Yu, Ridong Zhang, Furong Gao:
RBF neural network modeling approach using PCA based LM-GA optimization for coke furnace system. Appl. Soft Comput. 111: 107691 (2021) - [j36]Limin Wang, Jiang Song, Ridong Zhang, Furong Gao:
Constrained model predictive fault-tolerant control for multi-time-delayed batch processes with disturbances: A Lyapunov-Razumikhin function method. J. Frankl. Inst. 358(18): 9483-9509 (2021) - [j35]Ridong Zhang, Furong Gao:
Two-Dimensional Iterative Learning Model Predictive Control for Batch Processes: A New State Space Model Compensation Approach. IEEE Trans. Syst. Man Cybern. Syst. 51(2): 833-841 (2021) - [j34]Limin Wang, Jingxian Yu, Ridong Zhang, Ping Li, Furong Gao:
Iterative Learning Control for Multiphase Batch Processes With Asynchronous Switching. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2536-2549 (2021) - 2020
- [j33]Hongyi Qu, Dewei Li, Ridong Zhang, Shuang-Hua Yang, Furong Gao:
A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production. Neurocomputing 397: 70-93 (2020) - [j32]Ridong Zhang, Furong Gao:
A New Synthetic Minmax Optimization Design of H∞ LQ Tracking Control for Industrial Processes Under Partial Actuator Failure. IEEE Trans. Reliab. 69(1): 322-333 (2020) - [j31]Qibing Jin, Sheng Wu, Ridong Zhang, Renquan Lu:
Improved Minmax Control for Industrial Networked Systems Over Imperfect Communication. IEEE Trans. Syst. Man Cybern. Syst. 50(4): 1310-1317 (2020) - [j30]Ridong Zhang:
Improved Control for Industrial Systems Over Model Uncertainty: A Receding Horizon Expanded State Space Control Approach. IEEE Trans. Syst. Man Cybern. Syst. 50(4): 1343-1349 (2020) - [j29]Qibing Jin, Sheng Wu, Ridong Zhang:
Improved Constrained Model Predictive Tracking Control for Networked Coke Furnace Systems Over Uncertainty and Communication Loss. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1877-1884 (2020)
2010 – 2019
- 2019
- [j28]Shicheng Li, Junfeng Zhang, Yun Chen, Ridong Zhang:
Robust Stochastic Stabilization for Positive Markov Jump Systems with Actuator Saturation. Circuits Syst. Signal Process. 38(2): 625-642 (2019) - [j27]Ridong Zhang, Jili Tao, Huiyu Zhou:
Fuzzy Optimal Energy Management for Fuel Cell and Supercapacitor Systems Using Neural Network Based Driving Pattern Recognition. IEEE Trans. Fuzzy Syst. 27(1): 45-57 (2019) - [j26]Ridong Zhang, Sheng Wu, Jili Tao:
A New Design of Predictive Functional Control Strategy for Batch Processes in the Two-Dimensional Framework. IEEE Trans. Ind. Informatics 15(5): 2905-2914 (2019) - 2018
- [j25]Zhixing Cao, Jingyi Lu, Ridong Zhang, Furong Gao:
Online average-based system modelling method for batch process. Comput. Chem. Eng. 108: 128-138 (2018) - [j24]Hongyi Qu, Dewei Li, Ridong Zhang, Furong Gao:
An incremental Inter-agent learning method for adaptive control of multiple identical processes in mass production. Neurocomputing 315: 322-344 (2018) - [j23]Limin Wang, Yiteng Shen, Jingxian Yu, Ping Li, Ridong Zhang, Furong Gao:
Robust iterative learning control for multi-phase batch processes: an average dwell-time method with 2D convergence indexes. Int. J. Syst. Sci. 49(2): 324-343 (2018) - [j22]Dawei Wang, Ridong Zhang:
Design of distributed PID-type dynamic matrix controller for fractional-order systems. Int. J. Syst. Sci. 49(2): 435-448 (2018) - [j21]Junfeng Zhang, Xianglei Jia, Ridong Zhang, Yan Zuo:
A model predictive control framework for constrained uncertain positive systems. Int. J. Syst. Sci. 49(4): 884-896 (2018) - [j20]Ridong Zhang, Sheng Wu, Zhixing Cao, Jingyi Lu, Furong Gao:
A Systematic Min-Max Optimization Design of Constrained Model Predictive Tracking Control for Industrial Processes against Uncertainty. IEEE Trans. Control. Syst. Technol. 26(6): 2157-2164 (2018) - [j19]Ridong Zhang, Jili Tao:
GA-Based Fuzzy Energy Management System for FC/SC-Powered HEV Considering H2 Consumption and Load Variation. IEEE Trans. Fuzzy Syst. 26(4): 1833-1843 (2018) - [j18]Jingyi Lu, Zhixing Cao, Ridong Zhang, Furong Gao:
Nonlinear Monotonically Convergent Iterative Learning Control for Batch Processes. IEEE Trans. Ind. Electron. 65(7): 5826-5836 (2018) - [j17]Ridong Zhang, Jili Tao:
A Nonlinear Fuzzy Neural Network Modeling Approach Using an Improved Genetic Algorithm. IEEE Trans. Ind. Electron. 65(7): 5882-5892 (2018) - [j16]Ridong Zhang, Qibing Jin:
Design and Implementation of Hybrid Modeling and PFC for Oxygen Content Regulation in a Coke Furnace. IEEE Trans. Ind. Informatics 14(6): 2335-2342 (2018) - [j15]Ridong Zhang, Jili Tao, Renquan Lu, Qibing Jin:
Decoupled ARX and RBF Neural Network Modeling Using PCA and GA Optimization for Nonlinear Distributed Parameter Systems. IEEE Trans. Neural Networks Learn. Syst. 29(2): 457-469 (2018) - 2017
- [j14]Junfeng Zhang, Xudong Zhao, Ridong Zhang, Shaosheng Zhou:
Dual approach to stability and stabilisation of uncertain switched positive systems. Int. J. Syst. Sci. 48(4): 873-884 (2017) - [j13]Junfeng Zhang, Xudong Zhao, Ridong Zhang:
An improved approach to controller design of positive systems using controller gain decomposition. J. Frankl. Inst. 354(3): 1356-1373 (2017) - [j12]Ridong Zhang, Jili Tao:
Data-Driven Modeling Using Improved Multi-Objective Optimization Based Neural Network for Coke Furnace System. IEEE Trans. Ind. Electron. 64(4): 3147-3155 (2017) - [c1]Junfeng Zhang, Ridong Zhang, Yun Chen, Shizhou Fu:
Linear programming based dynamic output-feedback controller for positive systems. ACC 2017: 1709-1714 - 2016
- [j11]Zhixing Cao, Ridong Zhang, Jingyi Lu, Furong Gao:
Online identification for batch processes in closed loop incorporating priori controller knowledge. Comput. Chem. Eng. 90: 222-233 (2016) - [j10]Ridong Zhang, Renquan Lu, Shuqing Wang:
Improved control using PFC and modified linear quadratic regulator for a kind of nonlinear systems. Int. J. Syst. Sci. 47(5): 1121-1129 (2016) - [j9]Zhixing Cao, Ridong Zhang, Yi Yang, Jingyi Lu, Furong Gao:
Discrete-Time Robust Iterative Learning Kalman Filtering for Repetitive Processes. IEEE Trans. Autom. Control. 61(1): 270-275 (2016) - [j8]Ridong Zhang, Renquan Lu, Anke Xue, Furong Gao:
New Minmax Linear Quadratic Fault-Tolerant Tracking Control for Batch Processes. IEEE Trans. Autom. Control. 61(10): 3045-3051 (2016) - [j7]Renquan Lu, Yong Xu, Ridong Zhang:
A New Design of Model Predictive Tracking Control for Networked Control System Under Random Packet Loss and Uncertainties. IEEE Trans. Ind. Electron. 63(11): 6999-7007 (2016) - 2015
- [j6]Ridong Zhang, Furong Gao:
Improved infinite horizon LQ tracking control for injection molding process against partial actuator failures. Comput. Chem. Eng. 80: 130-139 (2015) - [j5]Ridong Zhang, Furong Gao:
An improved decoupling structure based state space MPC design with improved performance. Syst. Control. Lett. 75: 77-83 (2015) - [j4]Ridong Zhang, Zhixing Cao, Renquan Lu, Ping Li, Furong Gao:
State-Space Predictive-P Control for Liquid Level in an Industrial Coke Fractionation Tower. IEEE Trans Autom. Sci. Eng. 12(4): 1516-1524 (2015) - 2014
- [j3]Ridong Zhang, Anke Xue, Renquan Lu, Ping Li, Furong Gao:
Real-Time Implementation of Improved State-Space MPC for Air Supply in a Coke Furnace. IEEE Trans. Ind. Electron. 61(7): 3532-3539 (2014) - [j2]Ridong Zhang, Anke Xue, Furong Gao:
Temperature Control of Industrial Coke Furnace Using Novel State Space Model Predictive Control. IEEE Trans. Ind. Informatics 10(4): 2084-2092 (2014) - 2012
- [j1]Ridong Zhang, Anke Xue, Shuqing Wang, Jianming Zhang:
An improved state-space model structure and a corresponding predictive functional control design with improved control performance. Int. J. Control 85(8): 1146-1161 (2012)
Coauthor Index
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