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Generalized Predictive Control for Industrial Processes Based on Neuron Adaptive Splitting and Merging RBF Neural Network

IEEE transactions on industrial electronics (1982), 2019-02, Vol.66 (2), p.1192-1202

2019

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Reagent Addition Control for Stibium Rougher Flotation Based on Sensitive Froth Image Features

IEEE transactions on industrial electronics (1982), 2017-05, Vol.64 (5), p.4199-4206

2017

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An improved cell situation identification approach with convolutional neural network and wavelet extreme learning machine

Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 2021-11, Vol.235 (10), p.1898-1905

2021

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PDE‐constrained model predictive control of open‐channel systems

IET control theory & applications, 2024-01, Vol.18 (2), p.160-170

2024

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Constrained voting extreme learning machine and its application

Journal of systems engineering and electronics, 2021-02, Vol.32 (1), p.209-219

2021

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TSTFNN: Performance Enhancement for Fuzzy Neural Network in Performance Monitoring of Industrial Flotation Processes

IEEE transactions on industrial informatics, 2024-03, Vol.20 (3), p.1-11

2024

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Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process

IEEE transactions on industrial informatics, 2023-03, Vol.19 (3), p.3119-3132

2023

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Abnormality Monitoring in the Blast Furnace Ironmaking Process Based on Stacked Dynamic Target-Driven Denoising Autoencoders

IEEE transactions on industrial informatics, 2022-03, Vol.18 (3), p.1854-1863

2022

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Temperature prediction of aluminum reduction cell based on integration of dual attention LSTM for non-stationary sub-sequence and ARMA for stationary sub-sequences

Control engineering practice, 2023-09, Vol.138, p.105567, Article 105567

2023

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Consensus Tracking of Singular Multiagent Systems via Sliding Mode Approach

IEEE transactions on automatic control, 2023-08, Vol.68 (8), p.1-7

2023

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Improved model-free adaptive predictive control method for direct data-driven control of a wastewater treatment process with high performance

Journal of process control, 2022-02, Vol.110, p.11-23

2022

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A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling

IEEE transactions on industrial informatics, 2024-03, Vol.20 (3), p.1-10

2024

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Label Propagation With Contrastive Anchors for Deep Semi-Supervised Superheat Degree Identification in Aluminum Electrolysis Process

IEEE transactions on automation science and engineering, 2024-04, Vol.21 (2), p.1-13

2024

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Tuning of fuzzy controller with arbitrary triangular input fuzzy sets based on proximal policy optimization for time-delays system

Journal of process control, 2023-09, Vol.129, p.103059, Article 103059

2023

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Distributed process monitoring based on joint mutual information and projective dictionary pair learning

Journal of process control, 2021-10, Vol.106, p.130-141

2021

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A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications

IEEE transactions on industrial informatics, 2021-01, Vol.17 (1), p.558-568

2021

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SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering

Journal of process control, 2023-12, Vol.132, p.103131, Article 103131

2023

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Design of intelligent reclosing device and matching handheld instrument

2016 35th Chinese Control Conference (CCC), 2016, p.10025-10028

2016

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Neurofuzzy-Based Plant-Wide Hierarchical Coordinating Optimization and Control: An Application to Zinc Hydrometallurgy Plant

IEEE transactions on industrial electronics (1982), 2020-03, Vol.67 (3), p.2207-2219

2020

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Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation

Control engineering practice, 2024-05, Vol.146, p.105882, Article 105882

2024

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A novel robust data reconciliation method for industrial processes

Control engineering practice, 2019-02, Vol.83, p.203-212

2019

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Optimization of aluminum fluoride addition in aluminum electrolysis process based on pruned sparse fuzzy neural network

ISA transactions, 2023-02, Vol.133, p.285-301

2023

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Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning

IEEE transactions on industrial informatics, 2024-07, p.1-12

2024

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A Cooperative Silicon Content Dynamic Prediction Method with Variable Time Delay Estimation in the Blast Furnace Ironmaking Process

IEEE transactions on industrial informatics, 2024-01, Vol.20 (1), p.1-12

2024

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Multiobjective-Based Optimization and Control for Iron Removal Process Under Dynamic Environment

IEEE transactions on industrial informatics, 2021-01, Vol.17 (1), p.569-577

2021

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Generalized Predictive Control for Industrial Processes Based on Neuron Adaptive Splitting and Merging RBF Neural Network

Reagent Addition Control for Stibium Rougher Flotation Based on Sensitive Froth Image Features

An improved cell situation identification approach with convolutional neural network and wavelet extreme learning machine

PDE‐constrained model predictive control of open‐channel systems

Constrained voting extreme learning machine and its application

TSTFNN: Performance Enhancement for Fuzzy Neural Network in Performance Monitoring of Industrial Flotation Processes

Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process

Abnormality Monitoring in the Blast Furnace Ironmaking Process Based on Stacked Dynamic Target-Driven Denoising Autoencoders

Temperature prediction of aluminum reduction cell based on integration of dual attention LSTM for non-stationary sub-sequence and ARMA for stationary sub-sequences

Consensus Tracking of Singular Multiagent Systems via Sliding Mode Approach

Improved model-free adaptive predictive control method for direct data-driven control of a wastewater treatment process with high performance

A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling

Label Propagation With Contrastive Anchors for Deep Semi-Supervised Superheat Degree Identification in Aluminum Electrolysis Process

Tuning of fuzzy controller with arbitrary triangular input fuzzy sets based on proximal policy optimization for time-delays system

Distributed process monitoring based on joint mutual information and projective dictionary pair learning

A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications

SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering

Design of intelligent reclosing device and matching handheld instrument

Neurofuzzy-Based Plant-Wide Hierarchical Coordinating Optimization and Control: An Application to Zinc Hydrometallurgy Plant

Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation

A novel robust data reconciliation method for industrial processes

Optimization of aluminum fluoride addition in aluminum electrolysis process based on pruned sparse fuzzy neural network

Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning

A Cooperative Silicon Content Dynamic Prediction Method with Variable Time Delay Estimation in the Blast Furnace Ironmaking Process

Multiobjective-Based Optimization and Control for Iron Removal Process Under Dynamic Environment

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