Chunhua Yang

Orcid: 0000-0003-2550-1509

Affiliations:
  • Central South University, School of Automation, Changsha, China


According to our database1, Chunhua Yang authored at least 340 papers between 2002 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

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Bibliography

2025
Interpretable Switching Deep Markov Model for Industrial Process Monitoring via Cloud-Edge Collaborative Framework.
IEEE Trans. Instrum. Meas., 2025

A novel sim2real reinforcement learning algorithm for process control.
Reliab. Eng. Syst. Saf., 2025

Quality-related fault detection for dynamic process based on quality-driven long short-term memory network and autoencoder.
Neural Networks, 2025

R-Net: Recursive decoder with edge refinement network for salient object detection.
Expert Syst. Appl., 2025

Worst-case robust optimization based on an adaptive incremental Kriging metamodel.
Expert Syst. Appl., 2025

2024
Global Information-Based Lifelong Dictionary Learning for Multimode Process Monitoring.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024

Harmonic Double Valley Inclination: A Laser Wavelength Self-Diagnosis Identifier for a TDLAS/WMS System on a Filling Production Line.
IEEE Trans. Ind. Electron., December, 2024

Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer.
IEEE Trans. Knowl. Data Eng., November, 2024

Multimodel Self-Learning Predictive Control Method With Industrial Application.
IEEE Trans. Ind. Electron., November, 2024

Process Manufacturing Intelligence Empowered by Industrial Metaverse: A Survey.
IEEE Trans. Cybern., November, 2024

Distributed Pursuit-Evasion Game of Limited Perception USV Swarm Based on Multiagent Proximal Policy Optimization.
IEEE Trans. Syst. Man Cybern. Syst., October, 2024

Long Sequence Multivariate Time-Series Forecasting for Industrial Processes Using SASGNN.
IEEE Trans. Ind. Informatics, October, 2024

Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond.
IEEE Trans. Ind. Electron., October, 2024

Identifying the Working Conditions of Semisolid Metal Slagging Operations Under Strong Light Based on Gabor Feature and Multichannel PGAN.
IEEE Trans Autom. Sci. Eng., October, 2024

Data-Driven Raw Material Robust Procurement for Non-Ferrous Metal Smelter Under Price and Demand Uncertainties.
IEEE Trans Autom. Sci. Eng., October, 2024

One Network Fits All: A Self-Organizing Fuzzy Neural Network Based Explicit Predictive Control Method for Multimode Process.
IEEE Trans. Fuzzy Syst., September, 2024

ADP-Based Decentralized Controller Design for Nonlinear Time-Delay Interconnected Systems.
IEEE Trans. Syst. Man Cybern. Syst., August, 2024

Variable-Period Estimation of Process Industry Indicators Using Working Condition Semantic Representation and Mechanism-Guided Network Groups.
IEEE Trans. Ind. Informatics, August, 2024

Physical-Knowledge Embedded Convolutional Neural Network for Aluminum Electrolysis Superheat Degree Identification.
IEEE Trans. Ind. Electron., August, 2024

Event-Triggered Consensus of Multiagent Systems With Prescribed Performance.
IEEE Trans. Autom. Control., August, 2024

A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process.
IEEE CAA J. Autom. Sinica, August, 2024

Physical Informed Sparse Learning for Robust Modeling of Distributed Parameter System and Its Industrial Applications.
IEEE Trans Autom. Sci. Eng., July, 2024

Detecting Intelligent Load Redistribution Attack Based on Power Load Pattern Learning in Cyber-Physical Power Systems.
IEEE Trans. Ind. Electron., June, 2024

Concurrent Learning Robust Adaptive Fault Tolerant Boundary Regulation of Hyperbolic Distributed Parameter Systems.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Integrated Optimal Control for Electrolyte Temperature With Temporal Causal Network and Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

JITL-MBN: A Real-Time Causality Representation Learning for Sensor Fault Diagnosis of Traction Drive System in High-Speed Trains.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Operating Condition Recognition of Industrial Flotation Processes Using Visual and Acoustic Bimodal Autoencoder With Manifold Learning.
IEEE Trans. Ind. Informatics, May, 2024

Temperature Co-Optimization of Zinc Roasting Process Based on Fuzzy Synthetic Evaluation and Temperature Adjustable Margin.
IEEE Trans. Fuzzy Syst., May, 2024

Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network.
IEEE Trans. Cybern., May, 2024

A Dynamics-Learning Multirate Estimation Approach for the Feeding Condition Perception of Complex Industry Processes.
IEEE Trans. Cybern., May, 2024

Knowledge-Informed Neural Network for Nonlinear Model Predictive Control With Industrial Applications.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry.
IEEE Trans. Ind. Informatics, April, 2024

PMSA-DyTr: Prior-Modulated and Semantic-Aligned Dynamic Transformer for Strip Steel Defect Detection.
IEEE Trans. Ind. Informatics, April, 2024

Digital twin driven soft sensing for key variables in zinc rotary kiln.
IEEE Trans. Ind. Informatics, April, 2024

Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework.
IEEE Trans Autom. Sci. Eng., April, 2024

A Novel Sensing Imaging Equipment Under Extremely Dim Light for Blast Furnace Burden Surface: Starlight High-Temperature Industrial Endoscope.
IEEE CAA J. Autom. Sinica, April, 2024

A Spatial-Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

ADP-Based Event-Triggered Constrained Optimal Control on Spatiotemporal Process: Application to Temperature Field in Roller Kiln.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Boundary Optimal Control for Parabolic Distributed Parameter Systems With Value Iteration.
IEEE Trans. Cybern., March, 2024

Adaptive Distributed Boundary Vibration Control of Multiagent Euler-Bernoulli Beams via Cooperative Disturbance Observer Network.
IEEE Syst. J., March, 2024

Adaptive Exponential Fault Estimation for 1-D Linear Parabolic PDEs With Process Uncertainties.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

Adaptive Neural Tracking Control of a Class of Hyperbolic PDE With Uncertain Actuator Dynamics.
IEEE Trans. Cybern., February, 2024

Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process.
IEEE Trans. Cybern., February, 2024

Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Knowledge-Data-Based Synchronization States Analysis for Process Monitoring and Its Application to Hydrometallurgical Zinc Purification Process.
IEEE Trans. Ind. Informatics, January, 2024

Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application.
IEEE Trans Autom. Sci. Eng., January, 2024

Multi-scale feature selection network for lightweight image super-resolution.
Neural Networks, January, 2024

Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes.
IEEE CAA J. Autom. Sinica, January, 2024

Lane-Keeping Control of Automatic Steering Systems via Adaptive Fuzzy Sliding-Mode Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2024

Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling.
IEEE Trans. Instrum. Meas., 2024

Semi-Solid Metal Slag Thickness Distribution Identification Based on Statistical Temporal Fusion of Multisource Image for Robotic Operation.
IEEE Trans. Instrum. Meas., 2024

Adaptive, Fuzzy Boundary Observer for a Class of Euler-Bernoulli Beam Systems With Uncertainties.
IEEE Trans. Instrum. Meas., 2024

A Feature Prefusion and Mask-Guided Network for Camera Decoration Defect Detection.
IEEE Trans. Instrum. Meas., 2024

A Low-Dimensional Space-Based Redundancy Minimization Semisupervised Modeling Method for Total Nitrogen Detection.
IEEE Trans. Instrum. Meas., 2024

Data-Driven Plant-Model Mismatch Detection for Closed-Loop LPV System Based on Instrumental Variable Using Sum-of-Norms Regularization.
IEEE Trans. Instrum. Meas., 2024

Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes.
IEEE Trans. Instrum. Meas., 2024

I²GF-Net: Interlayer Information Guidance Feedback Networks for Wood Surface Defect Detection in Complex Texture Backgrounds.
IEEE Trans. Instrum. Meas., 2024

CDDNet: Camouflaged Defect Detection Network for Steel Surface.
IEEE Trans. Instrum. Meas., 2024

Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes.
IEEE Trans. Instrum. Meas., 2024

A Wavelength Modulation Spectroscopy Gas Concentration Detection Method Based on Linear Convolution.
IEEE Trans. Instrum. Meas., 2024

Open World Wheels Recognition for Incomplete Data: A Two-Stage Solution Combining Data Generation and Metric Learning.
IEEE Trans. Instrum. Meas., 2024

Exploring interpretable evolutionary optimization via significance of each constraint and population diversity.
Swarm Evol. Comput., 2024

Task-orientated probabilistic damage model with interdependent degradation behaviors for RUL prediction of traction converter systems.
Reliab. Eng. Syst. Saf., 2024

Robust condition identification against label noise in industrial processes based on trusted connection dictionary learning.
Reliab. Eng. Syst. Saf., 2024

Concurrent learning adaptive boundary observer design for linear coupled hyperbolic partial differential equation systems.
Knowl. Based Syst., 2024

Adversarial domain adaptation network with MixMatch for incipient fault diagnosis of PMSM under multiple working conditions.
Knowl. Based Syst., 2024

Object detection on low-resolution images with two-stage enhancement.
Knowl. Based Syst., 2024

Collision avoidance control for limited perception unmanned surface vehicle swarm based on proximal policy optimization.
J. Frankl. Inst., 2024

An efficient ensemble learning method based on multi-objective feature selection.
Inf. Sci., 2024

Spiking autoencoder for nonlinear industrial process fault detection.
Inf. Sci., 2024

A large-scale graph clustering method for cell conditions spatio-temporal localization in aluminum electrolysis.
Inf. Sci., 2024

Exploring heterophily in calibration of graph neural networks.
Neurocomputing, 2024

A novel state transition algorithm with adaptive fuzzy penalty for multi-constraint UAV path planning.
Expert Syst. Appl., 2024

Multi-objective optimization and decision making for integrated energy system using STA and fuzzy TOPSIS.
Expert Syst. Appl., 2024

Canonical Correlation Guided Deep Neural Network.
CoRR, 2024

AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models.
CoRR, 2024

Adaptive observer-based integral event-triggered antivibration control of a full aircraft active landing gear system with irregular runway excitations.
Sci. China Inf. Sci., 2024

A dynamic graph structure identification method of spatio-temporal correlation in an aluminum electrolysis cell.
Appl. Soft Comput., 2024

Graph-based active semi-supervised learning: Case study in water quality monitoring.
Adv. Eng. Informatics, 2024

Zinc roasting temperature field control with CFD model and reinforcement learning.
Adv. Eng. Informatics, 2024

An ensembled multilabel classification method for the short-circuit detection of electrolytic refining.
Adv. Eng. Informatics, 2024

2023
An interactive feature selection method based on multi-step state transition algorithm for high-dimensional data.
Knowl. Based Syst., December, 2023

LSTM-MPC: A Deep Learning Based Predictive Control Method for Multimode Process Control.
IEEE Trans. Ind. Electron., November, 2023

Rotary Kiln Temperature Control Under Multiple Operating Conditions: an Error-Triggered Adaptive Model Predictive Control Solution.
IEEE Trans. Control. Syst. Technol., November, 2023

Adaptive Fuzzy Boundary Observer Design for Uncertain Linear Coupled Hyperbolic Partial Differential Equation Systems.
IEEE Trans. Fuzzy Syst., October, 2023

A Federated Dictionary Learning Method for Process Monitoring With Industrial Applications.
IEEE Trans. Artif. Intell., October, 2023

MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

TSDTVOS: Target-guided spatiotemporal dual-stream transformers for video object segmentation.
Neurocomputing, October, 2023

A constrained multi-objective deep reinforcement learning approach for temperature field optimization of zinc oxide rotary volatile kiln.
Adv. Eng. Informatics, October, 2023

MCTAN: A Novel Multichannel Temporal Attention-Based Network for Industrial Health Indicator Prediction.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Data-Driven State Transition Algorithm for Fuzzy Chance-Constrained Dynamic Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Ingot oxide slag detection using two-stage UNet network based on mixed supervised learning.
Neural Comput. Appl., September, 2023

Predictive hierarchical reinforcement learning for path-efficient mapless navigation with moving target.
Neural Networks, August, 2023

A visual analytics approach for multi-attribute decision making based on intuitionistic fuzzy AHP and UMAP.
Inf. Fusion, August, 2023

Nonlinear MPC based on elastic autoregressive fuzzy neural network with roasting process application.
Expert Syst. Appl., August, 2023

Brain-inspired STA for parameter estimation of fractional-order memristor-based chaotic systems.
Appl. Intell., August, 2023

Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection.
IEEE Trans. Ind. Informatics, July, 2023

Flocking of Multiagent Systems With Nonuniform and Nonconvex Input Constraints.
IEEE Trans. Autom. Control., July, 2023

Multichannel Domain Adaptation Graph Convolutional Networks-Based Fault Diagnosis Method and With Its Application.
IEEE Trans. Ind. Informatics, June, 2023

Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning.
IEEE Trans. Cybern., June, 2023

Event-Triggered Optimal Control for Temperature Field of Roller Kiln Based on Adaptive Dynamic Programming.
IEEE Trans. Cybern., May, 2023

Nonstationary Industrial Process Monitoring Based on Stationary Projective Dictionary Learning.
IEEE Trans. Control. Syst. Technol., May, 2023

Integral Event-Triggered Attack-Resilient Control of Aircraft-on-Ground Synergistic Turning System With Uncertain Tire Cornering Stiffness.
IEEE CAA J. Autom. Sinica, May, 2023

A novel adaptive optimization method for deep learning with application to froth floatation monitoring.
Appl. Intell., May, 2023

An Improved Co-Design Method of Dynamical Controller and Asynchronous Integral-Type Event-Triggered Mechanisms.
IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Cluster-based industrial KPIs forecasting considering the periodicity and holiday effect using LSTM network and MSVR.
Adv. Eng. Informatics, April, 2023

A novel total nitrogen prediction method based on recurrent neural networks utilizing cross-coupling attention and selective attention.
Neurocomputing, March, 2023

Leader-following consensus of linear multi-agent systems via reset control: A time-varying systems approach.
Autom., March, 2023

LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network.
Neural Networks, January, 2023

Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks.
IEEE Trans. Netw. Sci. Eng., 2023

Distributed Network Reconstruction Based on Binary Compressed Sensing via ADMM.
IEEE Trans. Netw. Sci. Eng., 2023

Revolutionizing Flotation Process Working Condition Identification Based on Froth Audio.
IEEE Trans. Instrum. Meas., 2023

Temperature Field Prediction Model for Zinc Oxide Rotary Volatile Kiln Based on the Fusion of Thermodynamics and Infrared Images.
IEEE Trans. Instrum. Meas., 2023

Rain-Like Layer Removal From Hot-Rolled Steel Strip Based on Attentive Dual Residual Generative Adversarial Network.
IEEE Trans. Instrum. Meas., 2023

Multiple Harmonic Information Fusion for Residual Oxygen Concentration Analysis of Pharmaceutical Glass Vials.
IEEE Trans. Instrum. Meas., 2023

Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis.
IEEE Trans. Instrum. Meas., 2023

Oversmoothing Relief Graph Convolutional Network-Based Fault Diagnosis Method With Application to the Rectifier of High-Speed Trains.
IEEE Trans. Ind. Informatics, 2023

Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes.
IEEE Trans. Ind. Informatics, 2023

Trustworthiness of Process Monitoring in IIoT Based on Self-Weighted Dictionary Learning.
IEEE Trans. Ind. Informatics, 2023

Geometric Feature Mining for the Residual Oxygen Measurement of Pharmaceutical Glass Vials on a Filling Production Line.
IEEE Trans. Ind. Electron., 2023

Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder.
IEEE Trans. Cybern., 2023

Robust Structure Identification of Industrial Cyber-Physical System From Sparse Data: A Network Science Perspective.
IEEE Trans Autom. Sci. Eng., 2023

Association Hierarchical Representation Learning for Plant-Wide Process Monitoring by Using Multilevel Knowledge Graph.
IEEE Trans. Artif. Intell., 2023

BASeg: Boundary aware semantic segmentation for autonomous driving.
Neural Networks, 2023

A hierarchical evolution of neural architecture search method based on state transition algorithm.
Int. J. Mach. Learn. Cybern., 2023

A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application.
IEEE Internet Things J., 2023

A cascaded modeling approach for comprehensive reaction state perception of a hydrometallurgical reactor.
Eng. Appl. Artif. Intell., 2023

Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes.
Eng. Appl. Artif. Intell., 2023

An improved TOPSIS-based multi-criteria decision-making approach for evaluating the working condition of the aluminum reduction cell.
Eng. Appl. Artif. Intell., 2023

Operation Output-Feedback Predictive Control Based on Model Order Reduction and Predictive Optimization in Industrial Processes.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Industry-Oriented Lightweight Simulation System.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Reinforcement Learning-based Operational Decision-Making in the Process Industry Using Multi-View Data.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Performance Monitoring and Trend Visualization of Chillers Based on Principal Component Analysis and Its Application.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Optimal Temperature Rise Control for a Large-Scale Vertical Quench Furnace System.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring.
IEEE Trans. Neural Networks Learn. Syst., 2022

Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples.
IEEE Trans. Neural Networks Learn. Syst., 2022

Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction.
IEEE Trans. Instrum. Meas., 2022

CAT-EDNet: Cross-Attention Transformer-Based Encoder-Decoder Network for Salient Defect Detection of Strip Steel Surface.
IEEE Trans. Instrum. Meas., 2022

Harmonic Amplitude Pass Probability: A Lightweight Signal Descriptor for Oxygen Concentration Detection in Pharmaceutical Glass Vials.
IEEE Trans. Instrum. Meas., 2022

Unified Stationary and Nonstationary Data Representation for Process Monitoring in IIoT.
IEEE Trans. Instrum. Meas., 2022

Industrial Process Modeling and Monitoring Based on Jointly Specific and Shared Dictionary Learning.
IEEE Trans. Instrum. Meas., 2022

A Novel Semisupervised Regression Method for Online Total Nitrogen Detection Using Double Structural Sparse Feature Extraction.
IEEE Trans. Instrum. Meas., 2022

A Novel Soft Sensor Modeling Approach Based on Difference-LSTM for Complex Industrial Process.
IEEE Trans. Ind. Informatics, 2022

Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning.
IEEE Trans. Ind. Informatics, 2022

MPA-RNN: A Novel Attention-Based Recurrent Neural Networks for Total Nitrogen Prediction.
IEEE Trans. Ind. Informatics, 2022

Stackelberg Game Approach for Robust Optimization With Fuzzy Variables.
IEEE Trans. Fuzzy Syst., 2022

Reconstruction of Tree Network via Evolutionary Game Data Analysis.
IEEE Trans. Cybern., 2022

Consensus for Second-Order Discrete-Time Agents With Position Constraints and Delays.
IEEE Trans. Cybern., 2022

Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge.
IEEE Trans. Cybern., 2022

Outlier Detection for Process Monitoring in Industrial Cyber-Physical Systems.
IEEE Trans Autom. Sci. Eng., 2022

Voltage and Current Sensor Fault Diagnosis Method for Traction Converter with Two Stator Current Sensors.
Sensors, 2022

High-Precision Real-Time Detection of Blast Furnace Stockline Based on High-Dimensional Spatial Characteristics.
Sensors, 2022

A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material.
Sensors, 2022

Real-Time Detection and Short-Term Prediction of Blast Furnace Burden Level Based on Space-Time Fusion Features.
Sensors, 2022

Scale-selective and noise-robust extended local binary pattern for texture classification.
Pattern Recognit., 2022

Nonlinear bilevel programming approach for decentralized supply chain using a hybrid state transition algorithm.
Knowl. Based Syst., 2022

An ensemble learning method based on deep neural network and group decision making.
Knowl. Based Syst., 2022

New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer.
Knowl. Based Syst., 2022

Extended dissipative analysis and taxiing control of fuzzy model based aircraft-on-ground systems via sliding mode approach.
J. Frankl. Inst., 2022

A multimode mechanism-guided product quality estimation approach for multi-rate industrial processes.
Inf. Sci., 2022

Stacked maximal quality-driven autoencoder: Deep feature representation for soft analyzer and its application on industrial processes.
Inf. Sci., 2022

Static and Dynamic Joint Analysis for Operation Condition Division of Industrial Process With Incremental Learning.
IEEE Internet Things J., 2022

Video object segmentation based on multi-level target models and feature integration.
Neurocomputing, 2022

VAE4RSS: A VAE-based neural network approach for robust soft sensor with application to zinc roasting process.
Eng. Appl. Artif. Intell., 2022

Spatial-temporal associations representation and application for process monitoring using graph convolution neural network.
CoRR, 2022

Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity.
Sci. China Inf. Sci., 2022

Moving time domain blending operational strategy for alumina production by mixed integer optimization.
Comput. Chem. Eng., 2022

Time series clustering method with cluster validation to identify unknown local cell conditions in the aluminum reduction cell.
Comput. Ind. Eng., 2022

Cooperative control for multiple train systems: Self-adjusting zones, collision avoidance and constraints.
Autom., 2022

A novel learning-based asynchronous sliding mode control for discrete-time semi-Markov jump systems.
Autom., 2022

Dynamic multi-objective optimization and fuzzy AHP for copper removal process of zinc hydrometallurgy.
Appl. Soft Comput., 2022

A multiobjective state transition algorithm based on modified decomposition method.
Appl. Soft Comput., 2022

Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling.
Adv. Eng. Informatics, 2022

Compact and Efficient Feature Representation for Defect in hot rolled strip steel: A postion paper.
Proceedings of the 13th Asian Control Conference, 2022

2021
Design and Implementation of Observer-Based Sliding Mode for Underactuated Rendezvous System.
IEEE Trans. Syst. Man Cybern. Syst., 2021

False Data Injection Attacks Detection in Smart Grid: A Structural Sparse Matrix Separation Method.
IEEE Trans. Netw. Sci. Eng., 2021

A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process.
IEEE Trans. Neural Networks Learn. Syst., 2021

A New Model Transfer Strategy Among Spectrometers Based on SVR Parameter Calibrating.
IEEE Trans. Instrum. Meas., 2021

An Industrial Multilevel Knowledge Graph-Based Local-Global Monitoring for Plant-Wide Processes.
IEEE Trans. Instrum. Meas., 2021

Waterdrop Removal From Hot-Rolled Steel Strip Surfaces Based on Progressive Recurrent Generative Adversarial Networks.
IEEE Trans. Instrum. Meas., 2021

Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE.
IEEE Trans. Instrum. Meas., 2021

A Hybrid First Principles and Data-Driven Process Monitoring Method for Zinc Smelting Roasting Process.
IEEE Trans. Instrum. Meas., 2021

Multimode Process Monitoring and Mode Identification Based on Multiple Dictionary Learning.
IEEE Trans. Instrum. Meas., 2021

Hybrid Intelligence Assisted Sample Average Approximation Method for Chance Constrained Dynamic Optimization.
IEEE Trans. Ind. Informatics, 2021

A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications.
IEEE Trans. Ind. Informatics, 2021

Optimal Control of Chilled Water System With Ensemble Learning and Cloud Edge Terminal Implementation.
IEEE Trans. Ind. Informatics, 2021

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development.
IEEE Trans. Ind. Electron., 2021

A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection.
IEEE Trans. Ind. Electron., 2021

Stackelberg-Nash Game Approach for Constrained Robust Optimization With Fuzzy Variables.
IEEE Trans. Fuzzy Syst., 2021

Reconstructing Heterogeneous Networks via Compressive Sensing and Clustering.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Angle-Based Analysis Approach for Distributed Constrained Optimization.
IEEE Trans. Autom. Control., 2021

Global Reconstruction of Complex Network Topology via Structured Compressive Sensing.
IEEE Syst. J., 2021

Smoothing Complete Feature Pyramid Networks for Roll Mark Detection of Steel Strips.
Sensors, 2021

A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes.
Knowl. Based Syst., 2021

Event-triggered asynchronous sliding mode control of CSTR based on Markov model.
J. Frankl. Inst., 2021

A geometry constrained dictionary learning method for industrial process monitoring.
Inf. Sci., 2021

A fast constrained state transition algorithm.
Neurocomputing, 2021

Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network.
Eng. Appl. Artif. Intell., 2021

Multi-objective optimization for autonomous driving strategy based on Deep Q Network.
Discov. Artif. Intell., 2021

Graph neural network-based fault diagnosis: a review.
CoRR, 2021

A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation.
Comput. Chem. Eng., 2021

Functional deep echo state network improved by a bi-level optimization approach for multivariate time series classification.
Appl. Soft Comput., 2021

Distributed dictionary learning for industrial process monitoring with big data.
Appl. Intell., 2021

GCN-CAM: A new graph convolutional network-based fault diagnosis method with its interpretability analysis.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
Optimal Setting and Control for Iron Removal Process Based on Adaptive Neural Network Soft-Sensor.
IEEE Trans. Syst. Man Cybern. Syst., 2020

A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., 2020

Headspace Oxygen Concentration Measurement for Pharmaceutical Glass Bottles in Open-Path Optical Environment Using TDLAS/WMS.
IEEE Trans. Instrum. Meas., 2020

Automated Visual Defect Classification for Flat Steel Surface: A Survey.
IEEE Trans. Instrum. Meas., 2020

Automated Visual Defect Detection for Flat Steel Surface: A Survey.
IEEE Trans. Instrum. Meas., 2020

Harmonic Amplitude Dispersion: When Production Intrinsic Prior Meets Oxygen Concentration Detection of Pharmaceutical Glass Vials.
IEEE Trans. Instrum. Meas., 2020

Transfer Dictionary Learning Method for Cross-Domain Multimode Process Monitoring and Fault Isolation.
IEEE Trans. Instrum. Meas., 2020

Noise-Robust Self-Adaptive Support Vector Machine for Residual Oxygen Concentration Measurement.
IEEE Trans. Instrum. Meas., 2020

Multivariate Regression Model for Industrial Process Measurement Based on Double Locally Weighted Partial Least Squares.
IEEE Trans. Instrum. Meas., 2020

Dynamic Optimization for Copper Removal Process With Continuous Production Constraints.
IEEE Trans. Ind. Informatics, 2020

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy.
IEEE Trans. Ind. Informatics, 2020

A Distributed Dynamic Event-Triggered Control Approach to Consensus of Linear Multiagent Systems With Directed Networks.
IEEE Trans. Cybern., 2020

Self-Learning Hot Data Prediction: Where Echo State Network Meets NAND Flash Memories.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020

Structure Dictionary Learning-Based Multimode Process Monitoring and its Application to Aluminum Electrolysis Process.
IEEE Trans Autom. Sci. Eng., 2020

Asynchronous Filtering for Delayed Markovian Jump Systems via Homogeneous Polynomial Approach.
IEEE Trans. Autom. Control., 2020

An Improved Homogeneous Polynomial Approach for Adaptive Sliding-Mode Control of Markov Jump Systems With Actuator Faults.
IEEE Trans. Autom. Control., 2020

Kernel intuitionistic fuzzy c-means and state transition algorithm for clustering problem.
Soft Comput., 2020

Reweighted Compressed Sensing-Based Smart Grids Topology Reconstruction With Application to Identification of Power Line Outage.
IEEE Syst. J., 2020

Simultaneous Determination of Metal Ions in Zinc Sulfate Solution Using UV-Vis Spectrometry and SPSE-XGBoost Method.
Sensors, 2020

Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis.
Neural Comput. Appl., 2020

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network.
Knowl. Based Syst., 2020

Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit.
Inf. Sci., 2020

Using hybrid normalization technique and state transition algorithm to VIKOR method for influence maximization problem.
Neurocomputing, 2020

Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE.
Neurocomputing, 2020

Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning.
Neurocomputing, 2020

Power scheduling optimization under single-valued neutrosophic uncertainty.
Neurocomputing, 2020

Multi-scale local LSSVM based spatiotemporal modeling and optimal control for the goethite process.
Neurocomputing, 2020

An ensemble learning framework based on group decision making.
CoRR, 2020

Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm.
Cogn. Comput., 2020

Temperature Balancing Method Based on FCSM<sup>2</sup> PC for Three-level Inverters.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

Time-varying formation control of singular multi-agent systems with multiple leaders.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019
A Novel Asynchronous Control for Artificial Delayed Markovian Jump Systems via Output Feedback Sliding Mode Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2019

A Hybrid Feature Selection Method Based on Binary State Transition Algorithm and ReliefF.
IEEE J. Biomed. Health Informatics, 2019

Temperature Measurement and Compensation Method of Blast Furnace Molten Iron Based on Infrared Computer Vision.
IEEE Trans. Instrum. Meas., 2019

A Distributed Canonical Correlation Analysis-Based Fault Detection Method for Plant-Wide Process Monitoring.
IEEE Trans. Ind. Informatics, 2019

Distributed Containment Control of Continuous-Time Multiagent Systems With Nonconvex Control Input Constraints.
IEEE Trans. Ind. Electron., 2019

Generalized Predictive Control for Industrial Processes Based on Neuron Adaptive Splitting and Merging RBF Neural Network.
IEEE Trans. Ind. Electron., 2019

A Cumulative Canonical Correlation Analysis-Based Sensor Precision Degradation Detection Method.
IEEE Trans. Ind. Electron., 2019

A Statistical Study on Parameter Selection of Operators in Continuous State Transition Algorithm.
IEEE Trans. Cybern., 2019

Containment Control for Discrete-Time Multiagent Systems With Communication Delays and Switching Topologies.
IEEE Trans. Cybern., 2019

A Uniform Modeling Method Based on Open-Circuit Faults Analysis for NPC-Three-Level Converter.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Distributed Continuous-Time and Discrete-Time Optimization With Nonuniform Unbounded Convex Constraint Sets and Nonuniform Stepsizes.
IEEE Trans. Autom. Control., 2019

Distributed Optimization With Nonconvex Velocity Constraints, Nonuniform Position Constraints, and Nonuniform Stepsizes.
IEEE Trans. Autom. Control., 2019

Stability and Set Stability in Distribution of Probabilistic Boolean Networks.
IEEE Trans. Autom. Control., 2019

Dynamic optimization based on state transition algorithm for copper removal process.
Neural Comput. Appl., 2019

The Bang-Bang Property of Time-Varying Optimal Time Control for Null Controllable Heat Equation.
J. Optim. Theory Appl., 2019

Asynchronous output feedback control for fuzzy Markovian jump systems via sliding mode.
J. Frankl. Inst., 2019

Energy-aware scheduling for information fusion in wireless sensor network surveillance.
Inf. Fusion, 2019

A novel modularity-based discrete state transition algorithm for community detection in networks.
Neurocomputing, 2019

Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process.
Neurocomputing, 2019

Cost-sensitive large margin distribution machine for fault detection of wind turbines.
Clust. Comput., 2019

Finite-time asynchronous sliding mode control for Markovian jump systems.
Autom., 2019

Dynamic Analysis and Finite-Time Synchronization of a New Hyperchaotic System With Coexisting Attractors.
IEEE Access, 2019

Optimal Setting and Control Strategy for Industrial Process Based on Discrete-Time Fractional-Order PI $^{\lambda}$ D $^{\mu}$.
IEEE Access, 2019

Two-Stage Control of Endpoint Temperature for Pebble Stove Combustion.
IEEE Access, 2019

Estimate Information Fusion Weight of WSNs Nodes Based on Truth Discovery Optimization Method Among Conflicting Sources of Data.
IEEE Access, 2019

Surface Defect Classification for Hot-Rolled Steel Strips by Selectively Dominant Local Binary Patterns.
IEEE Access, 2019

Containment Control for High-Order Multi-Agent Systems With Nonuniform Communication Delays and Switching Topologies.
IEEE Access, 2019

A New Data-Driven Model-Free Adaptive Control for Discrete-Time Nonlinear Systems.
IEEE Access, 2019

Data-Driven Based State Transition Algorithm for Dynamic Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Blind Topology Identification for Smart Grid Based on Dictionary Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Voltage-Based Open-Circuit Fault Diagnosis Approach for Single Phase Two-Level Converters.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Converter Lifetime Modeling Based on Online Rainflow Counting Algorithm.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Transistor Temperature Balancing Method for Three-level Inverters Based on FCS-MPC.
Proceedings of the CAA Symposium on Fault Detection, 2019

Comparison of Several Data-driven Models for Remaining Useful Life Prediction.
Proceedings of the CAA Symposium on Fault Detection, 2019

A comparison of OCMPM and OCSVM in motor and sensor fault detection for traction control system.
Proceedings of the CAA Symposium on Fault Detection, 2019

Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process.
Proceedings of the 12th Asian Control Conference, 2019

2018
Exponential Stability Analysis for Delayed Semi-Markovian Recurrent Neural Networks: A Homogeneous Polynomial Approach.
IEEE Trans. Neural Networks Learn. Syst., 2018

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE.
IEEE Trans. Ind. Informatics, 2018

A Hybrid Control Strategy for Real-Time Control of the Iron Removal Process of the Zinc Hydrometallurgy Plants.
IEEE Trans. Ind. Informatics, 2018

Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes.
IEEE Trans. Ind. Electron., 2018

Exploiting Correlation for Confident Sensing in Fusion-Based Wireless Sensor Networks.
IEEE Trans. Ind. Electron., 2018

Fault Detection for Non-Gaussian Processes Using Generalized Canonical Correlation Analysis and Randomized Algorithms.
IEEE Trans. Ind. Electron., 2018

Controllable-Domain-Based Fuzzy Rule Extraction for Copper Removal Process Control.
IEEE Trans. Fuzzy Syst., 2018

Coordinated Optimization for the Descent Gradient of Technical Index in the Iron Removal Process.
IEEE Trans. Cybern., 2018

Passivity-Based Asynchronous Sliding Mode Control for Delayed Singular Markovian Jump Systems.
IEEE Trans. Autom. Control., 2018

Distributed Consensus of Second-Order Multiagent Systems With Nonconvex Velocity and Control Input Constraints.
IEEE Trans. Autom. Control., 2018

Temperature Measurement Method for Blast Furnace Molten Iron Based on Infrared Thermography and Temperature Reduction Model.
Sensors, 2018

Fractional-order PID controller tuning using continuous state transition algorithm.
Neural Comput. Appl., 2018

A dynamic state transition algorithm with application to sensor network localization.
Neurocomputing, 2018

Finite-time stabilization of the double integrator subject to input saturation and input delay.
IEEE CAA J. Autom. Sinica, 2018

Modeling, optimization, and control of solution purification process in zinc hydrometallurgy.
IEEE CAA J. Autom. Sinica, 2018

A Novel Cognitively Inspired State Transition Algorithm for Solving the Linear Bi-Level Programming Problem.
Cogn. Comput., 2018

Redefined observability matrix for Boolean networks and distinguishable partitions of state space.
Autom., 2018

Heterogeneous cooperative belief for social dilemma in multi-agent system.
Appl. Math. Comput., 2018

Promote of cooperation in networked multiagent system based on fitness control.
Appl. Math. Comput., 2018

Set-Point Tracking and Multi-Objective Optimization-Based PID Control for the Goethite Process.
IEEE Access, 2018

A Data-Driven Fault Diagnosis Method for Static Processes with Periodic Disturbances.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

CCR Based Key Performance Indicator Monitoring Method for Industrial Processes.
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling.
Proceedings of the IECON 2018, 2018

An Adaptive Data-Driven Fault Detection Method for Monitoring Dynamic Process.
Proceedings of the IECON 2018, 2018

2017
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression.
IEEE Trans. Instrum. Meas., 2017

A Fault-Injection Strategy for Traction Drive Control Systems.
IEEE Trans. Ind. Electron., 2017

Reagent Addition Control for Stibium Rougher Flotation Based on Sensitive Froth Image Features.
IEEE Trans. Ind. Electron., 2017

A novel fault diagnosis method based on optimal relevance vector machine.
Neurocomputing, 2017

Time-optimal state feedback stabilization of switched Boolean control networks.
Neurocomputing, 2017

A novel Minkowski-distance-based consensus clustering algorithm.
Int. J. Autom. Comput., 2017

Optimal control of an SIVRS epidemic spreading model with virus variation based on complex networks.
Commun. Nonlinear Sci. Numer. Simul., 2017

Optimal Control for Zinc Electrowinning Process With Current Switching.
IEEE Access, 2017

Guaranteed Cost Control for Descriptor Type-2 Fuzzy Systems With Stochastic Delay Distribution.
IEEE Access, 2017

Semantic Network Based on Intuitionistic Fuzzy Directed Hyper-Graphs and Application to Aluminum Electrolysis Cell Condition Identification.
IEEE Access, 2017

2016
Temperature Uniformity Control of Large-Scale Vertical Quench Furnaces for Aluminum Alloy Thermal Treatment.
IEEE Trans. Control. Syst. Technol., 2016

Global solutions to a class of CEC benchmark constrained optimization problems.
Optim. Lett., 2016

Discrete state transition algorithm for unconstrained integer optimization problems.
Neurocomputing, 2016

2015
Event based guaranteed cost consensus for distributed multi-agent systems.
J. Frankl. Inst., 2015

Set stability and set stabilization of Boolean control networks based on invariant subsets.
Autom., 2015

2014
Nonlinear system identification and control using state transition algorithm.
Appl. Math. Comput., 2014

Canonical primal-dual algorithm for solving fourth-order polynomial minimization problems.
Appl. Math. Comput., 2014

2013
A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification.
J. Appl. Math., 2013

Core set analysis in inconsistent decision tables.
Inf. Sci., 2013

A Discrete State Transition Algorithm for Generalized Traveling Salesman Problem
CoRR, 2013

Time-delay estimation for nonlinear systems with piecewise-constant input.
Appl. Math. Comput., 2013

A Comparative Study of State Transition Algorithm with Harmony Search and Artificial Bee Colony.
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013

2012
Optimal control problems arising in the zinc sulphate electrolyte purification process.
J. Glob. Optim., 2012

State Transition Algorithm
CoRR, 2012

Decentralized stabilization of large-scale feedforward systems using saturated delayed controls.
Autom., 2012

Stability analysis and design of reset control systems with discrete-time triggering conditions.
Autom., 2012

2011
On the design of compensator for quantization-caused input-output deviation.
Sci. China Inf. Sci., 2011

Initial Version of State Transition Algorithm.
Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011

2009
Application of highlight removal and multivariate image analysis to color measurement of flotation bubble images.
Int. J. Imaging Syst. Technol., 2009

A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production.
Eng. Appl. Artif. Intell., 2009

Modeling and optimal-setting control of blending process in a metallurgical industry.
Comput. Chem. Eng., 2009

Nonparametric density estimation of bubble size distribution for monitoring mineral flotation process.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

An Accurate Image Juggling Authentication Algorithm.
Proceedings of the Fifth International Conference on Information Assurance and Security, 2009

2008
Stabilisation designs for the inertia wheel pendulum using saturation techniques.
Int. J. Syst. Sci., 2008

A Large Capacity Blind Information Hiding Algorithm.
Proceedings of The International Symposium on Electronic Commerce and Security, 2008

High Capacity Information Hiding Algorithm for DCT Domain of Image.
Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008

2007
Intelligent fault diagnosis in lead-zinc smelting process.
Int. J. Autom. Comput., 2007

Decentralized robust H∞ output feedback control for value bounded uncertain large-scale interconnected systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Development of Integration Prediction Model for Alumina Raw Slurry Quality.
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

2004
Fault-Tolerant Scheduling for Real-Time Embedded Control Systems .
J. Comput. Sci. Technol., 2004

2003
An optimal power-dispatching control system for the electrochemical process of zinc based on backpropagation and Hopfield neural networks.
IEEE Trans. Ind. Electron., 2003

2002
An optimal power-dispatching system using neural networks for the electrochemical process of zinc depending on varying prices of electricity.
IEEE Trans. Neural Networks, 2002

A Fault-Tolerant Reservation-Based Strategy for Scheduling Aperiodic Tasks in Multiprocessor Systems.
Proceedings of the 10th Euromicro Workshop on Parallel, 2002


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