Ridong Zhang

发表

Model Predictive Control Based on Extended Non-minimal State Space Model

Furong Gao, Anke Xue, Ridong Zhang, 2018, Model Predictive Control.

Design of fractional order modeling based extended non-minimal state space MPC for temperature in an industrial electric heating furnace

Ridong Zhang, Furong Gao, Qin Zou, 2017 .

New PID Controller Design Using Extended Nonminimal State Space Model Based Predictive Functional Control Structure

Ridong Zhang, Furong Gao, Zhixing Cao, 2014 .

Real-Time Implementation of Improved State-Space MPC for Air Supply in a Coke Furnace

Renquan Lu, Anke Xue, Ping Li, 2014, IEEE Transactions on Industrial Electronics.

Further Ideas on MPC and PFC Using Relaxed Constrained Optimization

Furong Gao, Anke Xue, Ridong Zhang, 2018, Model Predictive Control.

Rule and MPC based Hybrid Energy Allocation System for Hybrid Electric Vehicle

Kai Han, Jili Tao, Ridong Zhang, 2019, 2019 Chinese Automation Congress (CAC).

Dynamic Modeling and Nonlinear Predictive Control Based on Partitioned Model and Nonlinear Optimization

A. Xue, Ridong Zhang, Shuqing Wang, 2011 .

A New Approach of Takagi–Sugeno Fuzzy Modeling Using an Improved Genetic Algorithm Optimization for Oxygen Content in a Coke Furnace

Ridong Zhang, Furong Gao, Jili Tao, 2016 .

Prediction of human promoter with Least Square Support Vector Machine based on Kernel Locality Preserving Projection

Ridong Zhang, Furong Gao, Shuo Guo, 2016 .

Predictive Functional Control Based on Extended State Space Model

A. Xue, Ridong Zhang, Furong Gao, 2018, Model Predictive Control.

State space predictive-p control for liquid level regulation in an industrial coke fractionation tower

Renquan Lu, Ridong Zhang, Furong Gao, 2015 .

Fractional order MPC design using improved state space model

A. Xue, Ridong Zhang, Furong Gao, 2017 .

Design of modified 2-degree-of-freedom proportional–integral–derivative controller for unstable processes

Hongbo Zou, Ridong Zhang, Furong Gao, 2020 .

Robust Iterative Learning Fault-Tolerant Control for Multiphase Batch Processes with Uncertainties

Furong Gao, Jingxian Yu, Limin Wang, 2017 .

Constrained model predictive fault-tolerant control for multi-time-delayed batch processes with disturbances: A Lyapunov-Razumikhin function method

Furong Gao, Limin Wang, Jiang Song, 2021, Journal of the Franklin Institute.

Model Predictive Control

Furong Gao, Ridong Zhang, Anke Xue, 2018 .

Design of a PID-type fractional dynamic matrix control

Hongbo Zou, Ridong Zhang, Jili Tao, 2017, 2017 36th Chinese Control Conference (CCC).

Design of fractional order control using predictive functional control structure

R. Lu, Ridong Zhang, Qin Zou, 2016, 2016 35th Chinese Control Conference (CCC).

Intelligent Fault Diagnosis for Chemical Processes Using Deep Learning Multimodel Fusion

Ridong Zhang, Furong Gao, Nan Wang, 2020, IEEE Transactions on Cybernetics.

Nonsmooth feedback adaptive stabilization for high-order nonlinear systems subject to state delay

Junfeng Zhang, Yun Chen, Ridong Zhang, 2017, 2017 36th Chinese Control Conference (CCC).

Iterative Learning Control of Multi-phase Batch Processes

Furong Gao, Limin Wang, Ridong Zhang, 2019, Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes.

Iterative Learning Control of Nonlinear Batch Processes

Furong Gao, Limin Wang, Ridong Zhang, 2019, Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes.

Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

Furong Gao, Limin Wang, Ridong Zhang, 2019 .

Design of fuzzy iterative learning fault‐tolerant control for batch processes with time‐varying delays

Furong Gao, Limin Wang, Ridong Zhang, 2018, Optimal control applications & methods.

Predictive Functional Controller with a Similar Proportional Integral Optimal Regulator Structure: Comparison with Traditional Predictive Functional Controller and Application to Heavy Oil Coking Equipment

Shuqing Wang, Ridong Zhang, Ridong Zhang, 2007 .

Hydrogen production from ammonia-rich combustion for fuel reforming under high temperature and high pressure conditions

Wei Liu, Ridong Zhang, Y. Qi, 2022, Fuel.

Design and implementation of an improved linear quadratic regulation control for oxygen content in a coke furnace

Furong Gao, Ping Li, Ridong Zhang, 2014 .

Multivariable decoupling predictive functional control with non-zero-pole cancellation and state weighting: Application on chamber pressure in a coke furnace

Furong Gao, Ridong Zhang, Ridong Zhang, 2013 .

State Space Model Predictive Control Using Partial Decoupling and Output Weighting for Improved Model/Plant Mismatch Performance

Furong Gao, Ridong Zhang, Ridong Zhang, 2013 .

An improved state-space model structure and a corresponding predictive functional control design with improved control performance

Anke Xue, Shuqing Wang, Jianming Zhang, 2012, Int. J. Control.

An improved model predictive control approach based on extended non-minimal state space formulation

Anke Xue, Shuqing Wang, Ridong Zhang, 2011 .

Introduction

Ridong Zhang, F. Gao, Anke Xue, 2018, Model Predictive Control.

Nonlinear Monotonically Convergent Iterative Learning Control for Batch Processes

Furong Gao, Ridong Zhang, Zhixing Cao, 2018, IEEE Transactions on Industrial Electronics.

A model predictive control framework for constrained uncertain positive systems

Junfeng Zhang, Yan Zuo, Ridong Zhang, 2018, Int. J. Syst. Sci..

State Space Model Predictive Control for Advanced Process Operation: A Review of Recent Development, New Results, and Insight

Furong Gao, Sheng Wu, Ridong Zhang, 2017 .

Improved Control for Industrial Systems Over Model Uncertainty: A Receding Horizon Expanded State Space Control Approach

Ridong Zhang, Ridong Zhang, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

New Minmax Linear Quadratic Fault-Tolerant Tracking Control for Batch Processes

Renquan Lu, Anke Xue, Furong Gao, 2016, IEEE Transactions on Automatic Control.

Partially Decoupled Approach of Extended Non-minimal State Space Predictive Functional Control for MIMO Processes

Furong Gao, Anke Xue, Jianming Zhang, 2012 .

RBF neural network modeling approach using PCA based LM-GA optimization for coke furnace system

Furong Gao, Ridong Zhang, Zheng Yu, 2021, Appl. Soft Comput..

Iterative Learning Control for Multiphase Batch Processes With Asynchronous Switching

Ping Li, Furong Gao, Ridong Zhang, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A 2D-FM model-based robust iterative learning model predictive control for batch processes.

Limin Wang, Ping Li, Jingxian Yu, 2020, ISA transactions.

A two-dimensional design of model predictive control for batch processes with two-dimensional (2D) dynamics using extended non-minimal state space structure

Ridong Zhang, Sheng Wu, Ridong Zhang, 2019, Journal of Process Control.

Discrete-Time Robust Iterative Learning Kalman Filtering for Repetitive Processes

Yi Yang, Furong Gao, Ridong Zhang, 2016, IEEE Transactions on Automatic Control.

Online average-based system modelling method for batch process

Furong Gao, Ridong Zhang, Zhixing Cao, 2018, Comput. Chem. Eng..

A multi-objective model predictive control for temperature control in extrusion processes

Furong Gao, Ridong Zhang, Ke Yao, 2017, 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP).

Online identification for batch processes in closed loop incorporating priori controller knowledge

Furong Gao, Ridong Zhang, Zhixing Cao, 2016, Comput. Chem. Eng..

Two-time dimensional recursive system identification incorporating priori pole and zero knowledge

Furong Gao, Ridong Zhang, Zhixing Cao, 2016 .

A Systematic Min–Max Optimization Design of Constrained Model Predictive Tracking Control for Industrial Processes against Uncertainty

Furong Gao, Ridong Zhang, Zhixing Cao, 2018, IEEE Transactions on Control Systems Technology.

Improved fuzzy PID controller design using predictive functional control structure.

Qibing Jin, Ridong Zhang, Yuzhong Wang, 2017, ISA transactions.

Improved design of constrained model predictive tracking control for batch processes against unknown uncertainties.

Qibing Jin, Junfeng Zhang, Furong Gao, 2017, ISA transactions.

Multivariable design of improved linear quadratic regulation control for MIMO industrial processes.

Qibing Jin, Renquan Lu, Ridong Zhang, 2015, ISA transactions.

Predictive control optimization based PID control for temperature in an industrial surfactant reactor

Furong Gao, Renquan Lu, Ridong Zhang, 2014 .

Design of dynamic matrix control based PID for residual oil outlet temperature in a coke furnace

Furong Gao, Renquan Lu, Ridong Zhang, 2014 .

Improved PI controller based on predictive functional control for liquid level regulation in a coke fractionation tower

Furong Gao, Ridong Zhang, Sheng Wu, 2014 .

Modeling and nonlinear predictive functional control of liquid level in a coke fractionation tower

Anke Xue, Shuqing Wang, Ridong Zhang, 2011 .

Data-Driven Modeling Using Improved Multi-Objective Optimization Based Neural Network for Coke Furnace System

Ridong Zhang, Jili Tao, Ridong Zhang, 2017, IEEE Transactions on Industrial Electronics.

Investigation on end-gas auto-ignition and knock characteristics of iso-octane over wide thermodynamic conditions under jet ignition using a rapid compression machine

Wei Liu, Ridong Zhang, Y. Qi, 2021, Fuel.

A Nonlinear Fuzzy Neural Network Modeling Approach Using an Improved Genetic Algorithm

Ridong Zhang, Jili Tao, Ridong Zhang, 2018, IEEE Transactions on Industrial Electronics.

Introduction

Ridong Zhang, Jili Tao, Yong Zhu, 2020, DNA Computing Based Genetic Algorithm.

DNA Double-Helix and SQP Hybrid Genetic Algorithm

Jili Tao, Ridong Zhang, Yong Zhu, 2020 .

Neural network based iterative learning predictive control design for mechatronic systems with isolated nonlinearity

Anke Xue, Shuqing Wang, Ridong Zhang, 2009 .

Nonlinear Model Predictive Control Using a Neural Network

Ping Li, Ridong Zhang, Ridong Zhang, 2004 .

An improved approach to controller design of positive systems using controller gain decomposition

Junfeng Zhang, Ridong Zhang, Xudong Zhao, 2017, J. Frankl. Inst..

Ignition behaviors of primary reference fuels in a rapid compression machine under vortex-existing/minimized conditions

Wei Liu, Ridong Zhang, Y. Qi, 2022, Proceedings of the Combustion Institute.

Flame propagation and auto-ignition behavior of iso-octane across the negative temperature coefficient (NTC) region on a rapid compression machine

Wei Liu, Ridong Zhang, Zhi Wang, 2021, Combustion and Flame.

GA Based Fuzzy Neural Network Modeling for Nonlinear SISO System

Jili Tao, Ridong Zhang, Yong Zhu, 2020 .

Design of distributed PID-type dynamic matrix controller for fractional-order systems

Dawei Wang, Ridong Zhang, Ridong Zhang, 2018, Int. J. Syst. Sci..

A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production

Dewei Li, Furong Gao, Ridong Zhang, 2020, Neurocomputing.

‘State Déjà vu’ inter-agent learning adaptive control framework

Furong Gao, Ridong Zhang, Hongyi Qu, 2016 .

Model Fusion and Multiscale Feature Learning for Fault Diagnosis of Industrial Processes.

Ridong Zhang, Kai Liu, N. Lu, 2022, IEEE transactions on cybernetics.

Predictive control of integrating processes based on a novel error correction method

Sheng Wu, Ri-dong Zhang, Yuan-cun Cui, 2014, CCC 2014.

Enhanced Q-learning for real-time hybrid electric vehicle energy management with deterministic rule

Jili Tao, Liang Xie, Ridong Zhang, 2020 .

GA-Based Fuzzy Energy Management System for FC/SC-Powered HEV Considering H2 Consumption and Load Variation

Ridong Zhang, Jili Tao, Ridong Zhang, 2018, IEEE Transactions on Fuzzy Systems.

Fuzzy Optimal Energy Management for Fuel Cell and Supercapacitor Systems Using Neural Network Based Driving Pattern Recognition

Huiyu Zhou, Ridong Zhang, Jili Tao, 2019, IEEE Transactions on Fuzzy Systems.

DNA Computing Based Genetic Algorithm

Jili Tao, Ridong Zhang, Yong Zhu, 2020 .

Fault Monitoring of Chemical Process Based on Sliding Window Wavelet DenoisingGLPP

Fan Yang, Ridong Zhang, Feng Wu, 2021, Processes.

Intelligent Feature Selection Using GA and Neural Network Optimization for Real-Time Driving Pattern Recognition

Ridong Zhang, Jili Tao, 2022, IEEE transactions on intelligent transportation systems (Print).

Design and Implementation of Hybrid Modeling and PFC for Oxygen Content Regulation in a Coke Furnace

Qibing Jin, Ridong Zhang, Ridong Zhang, 2018, IEEE Transactions on Industrial Informatics.

Improved LQ Tracking Control Design for Industrial Processes Under Uncertainty: The Extended Nonminimal State Space Approach

Ridong Zhang, Sheng Wu, Ridong Zhang, 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Introduction

Ridong Zhang, Limin Wang, F. Gao, 2019, Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes.

Robust iterative learning control for multi-phase batch processes: an average dwell-time method with 2D convergence indexes

Limin Wang, Furong Gao, Ridong Zhang, 2018, Int. J. Syst. Sci..

Iterative learning fault-tolerant control for injection molding processes against actuator faults

Limin Wang, Furong Gao, Ridong Zhang, 2017 .

Improved infinite horizon LQ tracking control for injection molding process against partial actuator failures

Furong Gao, Ridong Zhang, Ridong Zhang, 2015, Comput. Chem. Eng..

Predictive Functional Control for Linear Systems under Partial Actuator Faults and Application on an Injection Molding Batch Process

Furong Gao, Renquan Lu, Anke Xue, 2014 .

Iterative Learning Fault-Tolerant Control of Multi-phase Batch Processes

Furong Gao, Limin Wang, Ridong Zhang, 2019, Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes.

Further Ideas on Constrained Infinite Horizon Fault-Tolerant Control of Batch Processes

Furong Gao, Limin Wang, Ridong Zhang, 2019, Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes.

Iterative Learning Fault-Tolerant Control of Linear Batch Processes

Furong Gao, Limin Wang, Ridong Zhang, 2019, Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes.

Iterative Learning Predictive Control for Batch Processes

Furong Gao, Limin Wang, Ridong Zhang, 2019, Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes.

A simplified linear iterative predictive functional control approach for chamber pressure of industrial coke furnace

Anke Xue, Shuqing Wang, Aipeng Jiang, 2010 .

Support vector machine based predictive functional control design for output temperature of coking furnace

Shuqing Wang, Ridong Zhang, Ridong Zhang, 2008 .

A New Design of Model Predictive Tracking Control for Networked Control System Under Random Packet Loss and Uncertainties

Renquan Lu, Yong Xu, Ridong Zhang, 2016, IEEE Transactions on Industrial Electronics.

A novel approach to control synthesis of positive switched systems

Junfeng Zhang, Ridong Zhang, Xianglei Jia, 2017 .

Closed-Loop System Performance Analysis

Furong Gao, Anke Xue, Ridong Zhang, 2018, Model Predictive Control.

Model Predictive Control Based on Extended State Space Model

A. Xue, Ridong Zhang, F. Gao, 2018, Model Predictive Control.

State-Space Predictive-P Control for Liquid Level in an Industrial Coke Fractionation Tower

Ping Li, Renquan Lu, Furong Gao, 2015, IEEE Transactions on Automation Science and Engineering.

Temperature Control of Industrial Coke Furnace Using Novel State Space Model Predictive Control

Anke Xue, Furong Gao, Ridong Zhang, 2014, IEEE Transactions on Industrial Informatics.

An improved decoupling structure based state space MPC design with improved performance

Furong Gao, Ridong Zhang, Ridong Zhang, 2015, Syst. Control. Lett..

Decoupled ARX and RBF Neural Network Modeling Using PCA and GA Optimization for Nonlinear Distributed Parameter Systems

Qibing Jin, Renquan Lu, Ridong Zhang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Temperature Modeling in a Coke Furnace with an Improved RNA-GA Based RBF Network

Furong Gao, Jili Tao, Ridong Zhang, 2014 .

Auto-ignition and knocking combustion characteristics of iso-octane-ammonia fuel blends in a rapid compression machine

Ridong Zhang, Y. Qi, Qihang Zhang, 2023, Fuel.

Iterative learning Kalman filter for repetitive processes

Furong Gao, Ridong Zhang, Zhixing Cao, 2016 .

Fault Diagnosis of Complex Chemical Processes Using Feature Fusion of a Convolutional Network

Furong Gao, Nan Wang, Ridong Zhang, 2021 .

Application of multi-model switching predictive functional control on the temperature system of an electric heating furnace.

Junfeng Zhang, Ridong Zhang, Weide Xu, 2017, ISA transactions.

GA based predictive functional control for batch processes under actuator faults

Furong Gao, Hongbo Zou, Ridong Zhang, 2014 .

An incremental Inter-agent learning method for adaptive control of multiple identical processes in mass production

Dewei Li, Furong Gao, Ridong Zhang, 2018, Neurocomputing.

Design of fractional order predictive functional control for fractional industrial processes

Qibing Jin, Ridong Zhang, Ridong Zhang, 2016 .

Nonlinear Process Quality Prediction Using Wavelet Denoising OSC-SVM-PLS

Furong Gao, Ridong Zhang, fan yang, 2020 .

Model Predictive Control Under Constraints

Furong Gao, Anke Xue, Ridong Zhang, 2018, Model Predictive Control.

GA based FC/SC fuzzy energy management system considering H2 consumption and loading variation

Ning Wang, Ridong Zhang, Jili Tao, 2017, 2017 36th Chinese Control Conference (CCC).

Linear programming-based robust model predictive control for positive systems

Xudong Zhao, Ridong Zhang, Junfeng Zhang, 2016 .

Q-Learning-based fuzzy energy management for fuel cell/supercapacitor HEV

Ridong Zhang, Jili Tao, Longhua Ma, 2022, Trans. Inst. Meas. Control.

Two-Dimensional Iterative Learning Model Predictive Control for Batch Processes: A New State Space Model Compensation Approach

Furong Gao, Ridong Zhang, Ridong Zhang, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

2D Switched Model-Based Infinite Horizon LQ Fault-Tolerant Tracking Control for Batch Process

Limin Wang, Furong Gao, Ridong Zhang, 2019, Industrial & Engineering Chemistry Research.

Delay-Range-Dependent-Based Hybrid Iterative Learning Fault-Tolerant Guaranteed Cost Control for Multiphase Batch Processes

Furong Gao, Bing Liu, Limin Wang, 2018 .