Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes

Graph convolutional network soft sensor for process quality prediction

(2023) Mingwei Jia et al.   JOURNAL OF PROCESS CONTROL

Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift

(2023) Xiangrui Zhang et al.   JOURNAL OF PROCESS CONTROL

Dynamic transfer soft sensor for concept drift adaptation

(2023) Tianming Zhang et al.   JOURNAL OF PROCESS CONTROL

Dynamic real-time optimization for nonlinear systems with Lyapunov stabilizing MPC

(2022) Lloyd MacKinnon et al.   JOURNAL OF PROCESS CONTROL

Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression

(2022) M. Zagorowska et al.   JOURNAL OF PROCESS CONTROL

A semi-supervised soft sensor method based on vine copula regression and tri-training algorithm for complex chemical processes

(2022) Shisong Liu et al.   JOURNAL OF PROCESS CONTROL

A comprehensive review on Advanced Process Control of cement kiln process with the focus on MPC tuning strategies

(2022) Valarmathi Ramasamy et al.   JOURNAL OF PROCESS CONTROL

A Survey on Deep Learning for Data-Driven Soft Sensors

(2021) Qingqiang Sun et al.   IEEE Transactions on Industrial Informatics

Gradient Descent-Based Adaptive Learning Control for Autonomous Underwater Vehicles With Unknown Uncertainties

(2021) Jianbin Qiu et al.   IEEE Transactions on Neural Networks and Learning Systems

Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application

(2021) Chenliang Liu et al.   IEEE Transactions on Industrial Informatics

Efficient Dynamic Latent Variable Analysis for High-Dimensional Time Series Data

(2020) Yining Dong et al.   IEEE Transactions on Industrial Informatics

Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring

(2020) S. Joe Qin et al.   ANNUAL REVIEWS IN CONTROL

Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes

(2020) Tong Liu et al.   JOURNAL OF PROCESS CONTROL

Weighted Nonlinear Dynamic System for Deep Extraction of Nonlinear Dynamic Latent Variables and Industrial Application

(2020) Bingbing Shen et al.   IEEE Transactions on Industrial Informatics

Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes

(2020) Tong Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

Integrated CS optimization and OLS for recurrent neural network in modeling microwave thermal process

(2019) Tong Liu et al.   NEURAL COMPUTING & APPLICATIONS

Data-Based Online Optimal Temperature Tracking Control in Continuous Microwave Heating System by Adaptive Dynamic Programming

(2019) Tong Liu et al.   NEURAL PROCESSING LETTERS

Selective ensemble of multiple local model learning for nonlinear and nonstationary systems

(2019) Tong Liu et al.   NEUROCOMPUTING

Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectives in the Big Data Era

(2019) Chao Shang et al.   Engineering

Supervised Variational Autoencoders for Soft Sensor Modeling With Missing Data

(2019) Ruimin Xie et al.   IEEE Transactions on Industrial Informatics

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Data-Driven Modeling Based on Two-Stream ${\rm{\lambda }}$ Gated Recurrent Unit Network With Soft Sensor Application

(2019) Ruimin Xie et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Automatic Deep Extraction of Robust Dynamic Features for Industrial Big Data Modeling and Soft Sensor Application

(2019) Xinyu Zhang et al.   IEEE Transactions on Industrial Informatics

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

(2018) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Regression on dynamic PLS structures for supervised learning of dynamic data

(2018) Yining Dong et al.   JOURNAL OF PROCESS CONTROL

Comparative study on monitoring schemes for non-Gaussian distributed processes

(2018) Gang Li et al.   JOURNAL OF PROCESS CONTROL

Learning to Detect Local Overheating of the High-Power Microwave Heating Process With Deep Learning

(2018) Kai Wang et al.   IEEE Access

Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction

(2018) Kai Wang et al.   IEEE Transactions on Industrial Informatics

Dual learning-based online ensemble regression approach for adaptive soft sensor modeling of nonlinear time-varying processes

(2016) Huaiping Jin et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A Fast Adaptive Tunable RBF Network For Nonstationary Systems

(2016) Hao Chen et al.   IEEE Transactions on Cybernetics

Online soft sensor design using local partial least squares models with adaptive process state partition

(2015) Weiming Shao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Grey-box radial basis function modelling

(2011) Sheng Chen et al.   NEUROCOMPUTING

NARX-Based Nonlinear System Identification Using Orthogonal Least Squares Basis Hunting

(2008) S. Chen et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

A New RBF Neural Network With Boundary Value Constraints

(2008) Xia Hong et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Model selection approaches for non-linear system identification: a review

(2008) X. Hong et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE