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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
4308
World Ranking
4371
National Ranking
668

Overview

Ridong Zhang is affiliated with Hangzhou Dianzi University in China and has a significant body of research primarily within the field of engineering. Their work is especially concentrated on several subfields, including Control and Systems Engineering, Automotive Engineering, Electrical and Electronic Engineering, Mechanical Engineering, and Materials Chemistry.

Their research covers a variety of topics, with a focus on:

  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Iterative Learning Control Systems
  • Advanced Battery Technologies Research
  • Advanced Combustion Engine Technologies
  • Electric and Hybrid Vehicle Technologies
  • Mineral Processing and Grinding

Ridong Zhang has contributed to numerous scientific publications, with frequent appearances in journals such as:

  • Industrial & Engineering Chemistry Research
  • Fuel
  • Measurement and Control
  • Chemical Engineering Science
  • Journal of Process Control

Some of their recent papers include:

  • "RBF neural network modeling approach using PCA based LM-GA optimization for coke furnace system," 2021, Applied Soft Computing
  • "Fault Diagnosis of Complex Chemical Processes Using Feature Fusion of a Convolutional Network," 2021, Industrial & Engineering Chemistry Research
  • "Hydrogen production from ammonia-rich combustion for fuel reforming under high temperature and high pressure conditions," 2022, Fuel
  • "Enhanced Q-learning for real-time hybrid electric vehicle energy management with deterministic rule," 2020, Measurement and Control
  • "Constrained model predictive fault-tolerant control for multi-time-delayed batch processes with disturbances: A Lyapunov-Razumikhin function method," 2021, Journal of the Franklin Institute

Throughout their career, Zhang has collaborated frequently with a number of co-authors, including:

  • Furong Gao
  • Jili Tao
  • Limin Wang
  • Yunliang Qi
  • Longhua Ma

Best Publications

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

    Ridong Zhang;Jili Tao

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

    Ridong Zhang;Jili Tao;Huiyu Zhou

  • Improved fuzzy PID controller design using predictive functional control structure.

    Yuzhong Wang;Qibing Jin;Ridong Zhang

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

    Renquan Lu;Yong Xu;Ridong Zhang

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

    Ridong Zhang;Renquan Lu;Anke Xue;Furong Gao

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

    Ridong Zhang;Shuqing Wang

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

    Ridong Zhang;Anke Xue;Shuqing Wang;Zhengyun Ren

  • Intelligent Fault Diagnosis for Chemical Processes Using Deep Learning Multimodel Fusion.

    Nan Wang;Fan Yang;Ridong Zhang;Furong Gao

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

    Ridong Zhang;Anke Xue;Furong Gao

  • Nonlinear Monotonically Convergent Iterative Learning Control for Batch Processes

    Jingyi Lu;Zhixing Cao;Ridong Zhang;Furong Gao

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

    Ridong Zhang;Jili Tao

  • 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

  • GA-Based Fuzzy Energy Management System for FC/SC-Powered HEV Considering H 2 Consumption and Load Variation

    Ridong Zhang;Jili Tao

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

    Unknown

  • State space model predictive fault-tolerant control for batch processes with partial actuator failure

    Ridong Zhang;Ridong Zhang;Jingyi Lu;Hongyi Qu;Furong Gao

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

    Ridong Zhang;Anke Xue;Shuqing Wang

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

    Limin Wang;Limin Wang;Fanfan Liu;Jingxian Yu;Ping Li

  • 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

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

    Ridong Zhang;Anke Xue;Shuqing Wang

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

    Sheng Wu;Ridong Zhang;Ridong Zhang;Renquan Lu;Furong Gao

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

    Ridong Zhang;Sheng Wu;Zhixing Cao;Jingyi Lu

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

    Ridong Zhang;Ridong Zhang;Jili Tao;Furong Gao

Frequent Co-Authors

Furong Gao
Furong Gao Hong Kong University of Science and Technology
Renquan Lu
Renquan Lu Guangdong University of Technology
Zheng-Guang Wu
Zheng-Guang Wu Zhejiang University
Xudong Zhao
Xudong Zhao Dalian University of Technology

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