An improved state-space model structure and a corresponding predictive functional control design with improved control performance. - Ridong Zhang; Anke Xue; Shuqing Wang; Jianming Zhang (Int. J. Control, 2012)

Real-Time Implementation of Improved State-Space MPC for Air Supply in a Coke Furnace. - Ridong Zhang; Anke Xue; Renquan Lu; Ping Li 012; Furong Gao (IEEE Trans. Ind. Electron., 2014)

Temperature Control of Industrial Coke Furnace Using Novel State Space Model Predictive Control. - Ridong Zhang; Anke Xue; Furong Gao (IEEE Trans. Ind. Informatics, 2014)

Improved infinite horizon LQ tracking control for injection molding process against partial actuator failures. - Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2015)

An improved decoupling structure based state space MPC design with improved performance. - Ridong Zhang; Furong Gao (Syst. Control. Lett., 2015)

State-Space Predictive-P Control for Liquid Level in an Industrial Coke Fractionation Tower. - Ridong Zhang; Zhixing Cao; Renquan Lu; Ping Li 012; Furong Gao (IEEE Trans Autom. Sci. Eng., 2015)

Online identification for batch processes in closed loop incorporating priori controller knowledge. - Zhixing Cao; Ridong Zhang; Jingyi Lu; Furong Gao (Comput. Chem. Eng., 2016)

Improved control using PFC and modified linear quadratic regulator for a kind of nonlinear systems. - Ridong Zhang; Renquan Lu; Shuqing Wang (Int. J. Syst. Sci., 2016)

Discrete-Time Robust Iterative Learning Kalman Filtering for Repetitive Processes. - Zhixing Cao; Ridong Zhang; Yi Yang; Jingyi Lu; Furong Gao (IEEE Trans. Autom. Control., 2016)

New Minmax Linear Quadratic Fault-Tolerant Tracking Control for Batch Processes. - Ridong Zhang; Renquan Lu; Anke Xue; Furong Gao (IEEE Trans. Autom. Control., 2016)

A New Design of Model Predictive Tracking Control for Networked Control System Under Random Packet Loss and Uncertainties. - Renquan Lu; Yong Xu 003; Ridong Zhang (IEEE Trans. Ind. Electron., 2016)

Linear programming based dynamic output-feedback controller for positive systems. - Junfeng Zhang; Ridong Zhang; Yun Chen 008; Shizhou Fu (ACC, 2017)

Dual approach to stability and stabilisation of uncertain switched positive systems. - Junfeng Zhang; Xudong Zhao 001; Ridong Zhang; Shaosheng Zhou (Int. J. Syst. Sci., 2017)

An improved approach to controller design of positive systems using controller gain decomposition. - Junfeng Zhang; Xudong Zhao 001; Ridong Zhang (J. Frankl. Inst., 2017)

Data-Driven Modeling Using Improved Multi-Objective Optimization Based Neural Network for Coke Furnace System. - Ridong Zhang; Jili Tao (IEEE Trans. Ind. Electron., 2017)

Online average-based system modelling method for batch process. - Zhixing Cao; Jingyi Lu; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2018)

An incremental Inter-agent learning method for adaptive control of multiple identical processes in mass production. - Hongyi Qu; Dewei Li 001; Ridong Zhang; Furong Gao (Neurocomputing, 2018)

Robust iterative learning control for multi-phase batch processes: an average dwell-time method with 2D convergence indexes. - Limin Wang 003; Yiteng Shen; Jingxian Yu; Ping Li 012; Ridong Zhang; Furong Gao (Int. J. Syst. Sci., 2018)

Design of distributed PID-type dynamic matrix controller for fractional-order systems. - Dawei Wang; Ridong Zhang (Int. J. Syst. Sci., 2018)

A model predictive control framework for constrained uncertain positive systems. - Junfeng Zhang; Xianglei Jia; Ridong Zhang; Yan Zuo (Int. J. Syst. Sci., 2018)

A Systematic Min-Max Optimization Design of Constrained Model Predictive Tracking Control for Industrial Processes against Uncertainty. - Ridong Zhang; Sheng Wu 003; Zhixing Cao; Jingyi Lu; Furong Gao (IEEE Trans. Control. Syst. Technol., 2018)

GA-Based Fuzzy Energy Management System for FC/SC-Powered HEV Considering H2 Consumption and Load Variation. - Ridong Zhang; Jili Tao (IEEE Trans. Fuzzy Syst., 2018)

Nonlinear Monotonically Convergent Iterative Learning Control for Batch Processes. - Jingyi Lu; Zhixing Cao; Ridong Zhang; Furong Gao (IEEE Trans. Ind. Electron., 2018)

A Nonlinear Fuzzy Neural Network Modeling Approach Using an Improved Genetic Algorithm. - Ridong Zhang; Jili Tao (IEEE Trans. Ind. Electron., 2018)

Design and Implementation of Hybrid Modeling and PFC for Oxygen Content Regulation in a Coke Furnace. - Ridong Zhang; Qibing Jin (IEEE Trans. Ind. Informatics, 2018)

Decoupled ARX and RBF Neural Network Modeling Using PCA and GA Optimization for Nonlinear Distributed Parameter Systems. - Ridong Zhang; Jili Tao; Renquan Lu; Qibing Jin (IEEE Trans. Neural Networks Learn. Syst., 2018)

Robust Stochastic Stabilization for Positive Markov Jump Systems with Actuator Saturation. - Shicheng Li; Junfeng Zhang; Yun Chen 008; Ridong Zhang (Circuits Syst. Signal Process., 2019)

Fuzzy Optimal Energy Management for Fuel Cell and Supercapacitor Systems Using Neural Network Based Driving Pattern Recognition. - Ridong Zhang; Jili Tao; Huiyu Zhou 001 (IEEE Trans. Fuzzy Syst., 2019)

A New Design of Predictive Functional Control Strategy for Batch Processes in the Two-Dimensional Framework. - Ridong Zhang; Sheng Wu 003; Jili Tao (IEEE Trans. Ind. Informatics, 2019)

A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production. - Hongyi Qu; Dewei Li 001; Ridong Zhang; Shuang-Hua Yang; Furong Gao (Neurocomputing, 2020)

A New Synthetic Minmax Optimization Design of H∞ LQ Tracking Control for Industrial Processes Under Partial Actuator Failure. - Ridong Zhang; Furong Gao (IEEE Trans. Reliab., 2020)

Improved Constrained Model Predictive Tracking Control for Networked Coke Furnace Systems Over Uncertainty and Communication Loss. - Qibing Jin; Sheng Wu 003; Ridong Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Improved Minmax Control for Industrial Networked Systems Over Imperfect Communication. - Qibing Jin; Sheng Wu 003; Ridong Zhang; Renquan Lu (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Improved Control for Industrial Systems Over Model Uncertainty: A Receding Horizon Expanded State Space Control Approach. - Ridong Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2020)

RBF neural network modeling approach using PCA based LM-GA optimization for coke furnace system. - Jili Tao; Zheng Yu; Ridong Zhang; Furong Gao (Appl. Soft Comput., 2021)

Constrained model predictive fault-tolerant control for multi-time-delayed batch processes with disturbances: A Lyapunov-Razumikhin function method. - Limin Wang 003; Jiang Song; Ridong Zhang; Furong Gao (J. Frankl. Inst., 2021)

Iterative Learning Control for Multiphase Batch Processes With Asynchronous Switching. - Limin Wang 003; Jingxian Yu; Ridong Zhang; Ping Li 012; Furong Gao (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Two-Dimensional Iterative Learning Model Predictive Control for Batch Processes: A New State Space Model Compensation Approach. - Ridong Zhang; Furong Gao (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Intelligent Fault Diagnosis for Chemical Processes Using Deep Learning Multimodel Fusion. - Nan Wang; Fan Yang; Ridong Zhang; Furong Gao (IEEE Trans. Cybern., 2022)

Q-Learning-based fuzzy energy management for fuel cell/supercapacitor HEV. - Jili Tao; Ridong Zhang; Zhijun Qiao; Longhua Ma (Trans. Inst. Meas. Control, 2022)

Intelligent Feature Selection Using GA and Neural Network Optimization for Real-Time Driving Pattern Recognition. - Jili Tao; Ridong Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Improved LQ Tracking Control Design for Industrial Processes Under Uncertainty: The Extended Nonminimal State Space Approach. - Sheng Wu 003; Ridong Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Off-policy Q-learning-based Output Feedback Fault-tolerant Tracking Control of Industrial Processes. - Linzhu Jia; Limin Wang 003; Ridong Zhang; Furong Gao (SAFEPROCESS, 2023)

Model Fusion and Multiscale Feature Learning for Fault Diagnosis of Industrial Processes. - Kai Liu; Ningyun Lu; Feng Wu; Ridong Zhang; Furong Gao (IEEE Trans. Cybern., 2023)

H∞output feedback fault-tolerant control of industrial processes based on zero-sum games and off-policy Q-learning. - Limin Wang 003; Linzhu Jia; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2023)

Non-excitation closed-loop identification based on hysteresis bias relay feedback. - Lei Wang; Qiang Lv; Feng Wu; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2024)

Two-dimensional optimization design of constrained minmax model predictive tolerant-fault control for nonlinear batch processes. - Limin Wang 003; Hui Li; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2024)

Two-dimensional reinforcement learning model-free fault-tolerant control for batch processes against multi- faults. - Limin Wang 003; Linzhu Jia; Tao Zou; Ridong Zhang; Furong Gao (Comput. Chem. Eng., 2025)

Open-Set Fault Diagnosis Based on 1D-ResNet With Fusion of Cross-Class and Extreme Information for Out-of-Distribution Detection. - Jinglong Wang; Ridong Zhang (IEEE Trans. Instrum. Meas., 2025)

Deep Multiscale Convolutional Model With Multihead Self-Attention for Industrial Process Fault Diagnosis. - Youqiang Chen; Ridong Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Hybrid Dual-Channel Attention CNN and eXtreme Gradient Boosting for Industrial Process Model Development and Fault Diagnosis. - Youqiang Chen; Ridong Zhang (IEEE Internet Things J., 2025)