Ridong Zhang
Orcid: 0000-0003-4184-3955
According to our database1,
Ridong Zhang
authored at least 45 papers
between 2012 and 2023.
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Bibliography
2023
H∞output feedback fault-tolerant control of industrial processes based on zero-sum games and off-policy Q-learning.
Comput. Chem. Eng., November, 2023
Model Fusion and Multiscale Feature Learning for Fault Diagnosis of Industrial Processes.
IEEE Trans. Cybern., October, 2023
Off-policy Q-learning-based Output Feedback Fault-tolerant Tracking Control of Industrial Processes.
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
Improved LQ Tracking Control Design for Industrial Processes Under Uncertainty: The Extended Nonminimal State Space Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Intelligent Feature Selection Using GA and Neural Network Optimization for Real-Time Driving Pattern Recognition.
IEEE Trans. Intell. Transp. Syst., 2022
Trans. Inst. Meas. Control, 2022
Intelligent Fault Diagnosis for Chemical Processes Using Deep Learning Multimodel Fusion.
IEEE Trans. Cybern., 2022
2021
Two-Dimensional Iterative Learning Model Predictive Control for Batch Processes: A New State Space Model Compensation Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Iterative Learning Control for Multiphase Batch Processes With Asynchronous Switching.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Constrained model predictive fault-tolerant control for multi-time-delayed batch processes with disturbances: A Lyapunov-Razumikhin function method.
J. Frankl. Inst., 2021
RBF neural network modeling approach using PCA based LM-GA optimization for coke furnace system.
Appl. Soft Comput., 2021
2020
Improved Control for Industrial Systems Over Model Uncertainty: A Receding Horizon Expanded State Space Control Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Improved Minmax Control for Industrial Networked Systems Over Imperfect Communication.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Improved Constrained Model Predictive Tracking Control for Networked Coke Furnace Systems Over Uncertainty and Communication Loss.
IEEE Trans. Syst. Man Cybern. Syst., 2020
A New Synthetic Minmax Optimization Design of H<sub>∞</sub> LQ Tracking Control for Industrial Processes Under Partial Actuator Failure.
IEEE Trans. Reliab., 2020
A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production.
Neurocomputing, 2020
2019
A New Design of Predictive Functional Control Strategy for Batch Processes in the Two-Dimensional Framework.
IEEE Trans. Ind. Informatics, 2019
Fuzzy Optimal Energy Management for Fuel Cell and Supercapacitor Systems Using Neural Network Based Driving Pattern Recognition.
IEEE Trans. Fuzzy Syst., 2019
Robust Stochastic Stabilization for Positive Markov Jump Systems with Actuator Saturation.
Circuits Syst. Signal Process., 2019
2018
Decoupled ARX and RBF Neural Network Modeling Using PCA and GA Optimization for Nonlinear Distributed Parameter Systems.
IEEE Trans. Neural Networks Learn. Syst., 2018
Design and Implementation of Hybrid Modeling and PFC for Oxygen Content Regulation in a Coke Furnace.
IEEE Trans. Ind. Informatics, 2018
A Nonlinear Fuzzy Neural Network Modeling Approach Using an Improved Genetic Algorithm.
IEEE Trans. Ind. Electron., 2018
IEEE Trans. Ind. Electron., 2018
GA-Based Fuzzy Energy Management System for FC/SC-Powered HEV Considering H<sub>2</sub> Consumption and Load Variation.
IEEE Trans. Fuzzy Syst., 2018
A Systematic Min-Max Optimization Design of Constrained Model Predictive Tracking Control for Industrial Processes against Uncertainty.
IEEE Trans. Control. Syst. Technol., 2018
Int. J. Syst. Sci., 2018
Design of distributed PID-type dynamic matrix controller for fractional-order systems.
Int. J. Syst. Sci., 2018
Robust iterative learning control for multi-phase batch processes: an average dwell-time method with 2D convergence indexes.
Int. J. Syst. Sci., 2018
An incremental Inter-agent learning method for adaptive control of multiple identical processes in mass production.
Neurocomputing, 2018
Comput. Chem. Eng., 2018
2017
Data-Driven Modeling Using Improved Multi-Objective Optimization Based Neural Network for Coke Furnace System.
IEEE Trans. Ind. Electron., 2017
An improved approach to controller design of positive systems using controller gain decomposition.
J. Frankl. Inst., 2017
Int. J. Syst. Sci., 2017
Proceedings of the 2017 American Control Conference, 2017
2016
A New Design of Model Predictive Tracking Control for Networked Control System Under Random Packet Loss and Uncertainties.
IEEE Trans. Ind. Electron., 2016
IEEE Trans. Autom. Control., 2016
IEEE Trans. Autom. Control., 2016
Improved control using PFC and modified linear quadratic regulator for a kind of nonlinear systems.
Int. J. Syst. Sci., 2016
Online identification for batch processes in closed loop incorporating priori controller knowledge.
Comput. Chem. Eng., 2016
2015
State-Space Predictive-P Control for Liquid Level in an Industrial Coke Fractionation Tower.
IEEE Trans Autom. Sci. Eng., 2015
An improved decoupling structure based state space MPC design with improved performance.
Syst. Control. Lett., 2015
Improved infinite horizon LQ tracking control for injection molding process against partial actuator failures.
Comput. Chem. Eng., 2015
2014
Temperature Control of Industrial Coke Furnace Using Novel State Space Model Predictive Control.
IEEE Trans. Ind. Informatics, 2014
Real-Time Implementation of Improved State-Space MPC for Air Supply in a Coke Furnace.
IEEE Trans. Ind. Electron., 2014
2012
An improved state-space model structure and a corresponding predictive functional control design with improved control performance.
Int. J. Control, 2012