Dexian Huang

发表

Batch reinforcement learning based dynamic optimization for polyethylene grade transitions

Yujie Wei, Zhihua Xiong, Yongheng Jiang, 2014, Proceedings of the 33rd Chinese Control Conference.

Plant Planning Optimization under Time-Varying Uncertainty: Case Study on a Poly(vinyl chloride) Plant

Dexian Huang, Yuhong Wang, Tao Chen, 2018, Industrial & Engineering Chemistry Research.

Improved Hybrid Differential Evolution-Estimation of Distribution Algorithm with Feasibility Rules for NLP/MINLP Engineering Optimization Problems

Yongheng Jiang, Dexian Huang, Junyan Wang, 2012 .

Dynamic Soft Sensor Based on Impulse Response Template and Deep Neural Network for Industrial Processes

Lei Liu, Dexian Huang, Chao Shang, 2018, FSDM.

Efficient low-order system identification from low-quality step response data with rank-constrained optimization

Dexian Huang, Qingyuan Liu, Chao Shang, 2021 .

Detecting and isolating plant-wide oscillations via slow feature analysis

Dexian Huang, Chao Shang, Fan Yang, 2015, 2015 American Control Conference (ACC).

Nonlinear Predictive Control Based on Wavelet Neural Network Applied to Polypropylene Process

Xiaohua Xia, Dexian Huang, Yihui Jin, 2005, ISNN.

Simultaneous Identification of Bidirectional Path Models Based on Process Data

Wei Wang, Dexian Huang, Fan Yang, 2015, IEEE Transactions on Automation Science and Engineering.

Slow feature analysis for monitoring and diagnosis of control performance

Dexian Huang, Biao Huang, Chao Shang, 2016 .

Design and Analysis of Improved Alarm Delay-Timers

Fan Yang, Dexian Huang, Hao Zang, 2015 .

Inferential estimation of kerosene dry point in refineries with varying crudes

Jie Zhang, Dexian Huang, Qiyue Liu, 2009 .

Intelligent switching expert system for delayed coking unit based on iterative learning strategy

Yongheng Jiang, Dexian Huang, Xiaodong Yu, 2011, Expert Syst. Appl..

Hybrid Strategy for Parameter Estimation and PID Tuning

Dexian Huang, Da-Zhong Zheng, Ling Wang, 2004 .

RBFNN-Based Multiple Steady States Controller for Nonlinear System and Its Application

Dexian Huang, Yihui Jin, Xiugai Li, 2005, ISNN.

DE and NLP Based QPLS Algorithm

Dexian Huang, Xiaodong Yu, Bo Liu, 2007, ICIC.

Dynamic Soft Sensor Development Based on Convolutional Neural Networks

Lei Liu, Yongheng Jiang, Dexian Huang, 2019, Industrial & Engineering Chemistry Research.

A review of control loop monitoring and diagnosis: Prospects of controller maintenance in big data era☆

Dexian Huang, Chao Shang, Fan Yang, 2016 .

Nonlinear adaptive predictive control based on orthogonal wavelet networks

Dexian Huang, Xiaohua Xia, Yihui Jin, 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

Soft sensor development and applications based on LSTM in deep neural networks

Yongheng Jiang, Dexian Huang, Fan Yang, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis

Richard D. Braatz, Dexian Huang, Joel A. Paulson, 2015, Comput. Chem. Eng..

Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes

Fan Yang, Dexian Huang, Biao Huang, 2018, IEEE Transactions on Industrial Electronics.

Prediction of syngas compositions in shell coal gasification process via dynamic soft-sensing method

Dexian Huang, Yue Yang, Pengfei Ji, 2013, 2013 10th IEEE International Conference on Control and Automation (ICCA).

State feedback predictive control for hybrid system via parametric optimization

Dexian Huang, Xiu-Gai Li, Dong-Jie Gao, 2005 .

Simultaneous identification of bi-directional paths in closed-loop systems with coloured noise

Wei Wang, Dexian Huang, Fan Yang, 2015, Autom..

Generalized grouped contributions for hierarchical fault diagnosis with group Lasso

Dexian Huang, Xiaolin Huang, Fan Yang, 2019 .

An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers

Dexian Huang, Ling Wang, Bin Qian, 2009, Comput. Oper. Res..

A novel approach to monitoring and maintenance of industrial PID controllers

Dexian Huang, Chao Shang, Fan Yang, 2017 .

Extracting latent dynamics from process data for quality prediction and performance assessment via slow feature regression

Dexian Huang, Chao Shang, Fan Yang, 2015, 2015 American Control Conference (ACC).

Offset‐free multistep nonlinear model predictive control under plant–model mismatch

Dexian Huang, Ping Wang, Sheng Chen, 2014 .

Combining first principles with black-box techniques for reaction systems

Dexian Huang, Jie Zhang, A. Julian Morris, 2000 .

Multi-units Unified Process Optimization Under Uncertainty Based on Differential Evolution with Hypothesis Test

Dexian Huang, Bin Qian, Yihui Jin, 2009, ICIC.

Canonical variate analysis-based monitoring of process correlation structure using causal feature representation

Dexian Huang, Richard D. Braatz, Benben Jiang, 2015 .

Inventory pinch analysis based bi-level heuristic algorithm for scheduling of the PVC production by calcium carbide method

Yongheng Jiang, Dexian Huang, Miaomiao Tian, 2016, CCC 2016.

Novel Bayesian Framework for Dynamic Soft Sensor Based on Support Vector Machine With Finite Impulse Response

Dexian Huang, Chao Shang, Fan Yang, 2014, IEEE Transactions on Control Systems Technology.

Refinery Operation Scheduling Considering Both Varying Feedstocks and Operating Conditions: An Industrial Data-based Modeling Method

Tao Chen, Yongheng Jiang, Dexian Huang, 2018 .

A Dynamic Soft-sensing Method Based on Impulses Response Template and Parameter Estimation with Modified DE Optimization

Dexian Huang, Qing Yang, Yihui Jin, 2008 .

PSO Based Surrogate Model Steady State Optimization with Its application

Dexian Huang, Xiugai Li, 2006, 2006 6th World Congress on Intelligent Control and Automation.

A robust integrated predictive iterative learning control based on updating reference for point-to-point tracking

Jie Ma, Zhihua Xiong, Dexian Huang, 2016, 2016 American Control Conference (ACC).

Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis

Johan A. K. Suykens, Dexian Huang, Chao Shang, 2015 .

Decomposition Algorithm for the Scheduling of Typical Polyvinyl Chloride Production by Calcium Carbide Method

Yongheng Jiang, Dexian Huang, Ling Wang, 2016 .

A Decision Tree based Decomposition Method for Oil Refinery Scheduling

Yongheng Jiang, Dexian Huang, Xiaoyong Gao, 2017 .

Estimation of atmospheric 3rd line diesel oil solidifying point via Adaptive kernel based Relevance Vector Machine

Yong Tao, Yongheng Jiang, Dexian Huang, 2011, 2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP).

Intelligent computing budget allocation for on-road trajectory planning based on candidate curves

Yongheng Jiang, Dexian Huang, Kaisheng Huang, 2016, Frontiers of Information Technology & Electronic Engineering.

A novel two-stage Lagrangian decomposition approach for refinery production scheduling with operational transitions in mode switching

Yongheng Jiang, Dexian Huang, Ling Wang, 2015 .

Deep learning technique for process fault detection and diagnosis in the presence of incomplete data

Dexian Huang, Cen Guo, Wenkai Hu, 2020 .

A novel probabilistic approximate subgradient method in Lagrangian Relaxation for flow-shop scheduling problems

Lei Shi, Yongheng Jiang, Dexian Huang, 2013, 2013 10th IEEE International Conference on Control and Automation (ICCA).

Scheduling of multi-pipeline crude oil blending based on constrained ordinal optimization

Yongheng Jiang, Dexian Huang, Liang Bai, 2011, 2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP).

Designing Neural Networks Using PSO-Based Memetic Algorithm

Dexian Huang, Ling Wang, Bo Liu, 2007, ISNN.

A Novel Semi-Supervised Probabilistic Model of Fisher Discriminant Analysis for Data-Driven Fault Classification and Detection

Dexian Huang, Chao Shang, Huangang Wang, 2020, 2020 2nd International Conference on Industrial Artificial Intelligence (IAI).

A Three-section Algorithm of Dynamic Programming Based on Three-stage Decomposition System Model for Grade Transition Trajectory Optimization Problems

Yujie Wei, Yongheng Jiang, Dexian Huang, 2014 .

Modelling of a Post-combustion CO2 Capture Process Using Bootstrap Aggregated Extreme Learning Machines

Jie Zhang, Zhihua Xiong, Dexian Huang, 2016 .

RIMER and SA based thermal efficiency optimization for fired heaters

Dexian Huang, Xiaoyong Gao, Tao Chen, 2017 .

A novel high level canonical piecewise linear model based on the simplicial partition and its application

Zhihua Xiong, Yongheng Jiang, Dexian Huang, 2013, 2013 10th IEEE International Conference on Control and Automation (ICCA).

Multi-objective no-wait flow-shop scheduling with a memetic algorithm based on differential evolution

Dexian Huang, Ling Wang, Xiong Wang, 2009, Soft Comput..

Probabilistic slow feature analysis‐based representation learning from massive process data for soft sensor modeling

Dexian Huang, Biao Huang, Chao Shang, 2015 .

Optimal Iterative Learning Control for Batch Processes with Model Parameter Variations Using Strong Tracking Filter

Zhihua Xiong, Yongheng Jiang, Dexian Huang, 2008 .

A New Strategy of Integrated Control and On-line Optimization on High-purity Distillation Process

Yongheng Jiang, Dexian Huang, Ying Zhu, 2010 .

Model Quality Assessment and Model Mismatch Detection: A Temporal Smoothness Regularization Approach

Fan Yang, Dexian Huang, Xinqing Gao, 2018 .

Optimizing scheduling of refinery operations based on piecewise linear models

Tao Chen, Yongheng Jiang, Dexian Huang, 2015, Comput. Chem. Eng..

DE-based neural network nonlinear model predictive control and its application for the pH neutralization reactor control

Dexian Huang, Xiaodong Yu, Xiong Wang, 2008, 2008 Chinese Control and Decision Conference.

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Fan Yang, Dexian Huang, Benben Jiang, 2013 .

Monitoring of operating point and process dynamics via probabilistic slow feature analysis

Dexian Huang, Biao Huang, Chao Shang, 2016 .

Canonical variate analysis-based contributions for fault identification

Dexian Huang, Fan Yang, Richard D. Braatz, 2015 .

Iterative learning belief rule-base inference methodology using evidential reasoning for delayed coking unit

Yongheng Jiang, Dexian Huang, Xiaodong Yu, 2011, 2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP).

Automatic hyper-parameter tuning for soft sensor modeling based on dynamic deep neural network

Yongheng Jiang, Dexian Huang, Chao Shang, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Designing Neural Networks Using Hybrid Particle Swarm Optimization

Dexian Huang, Ling Wang, Bo Liu, 2005, ISNN.

Data-driven soft sensor development based on deep learning technique

Dexian Huang, Chao Shang, Fan Yang, 2014 .

A multi-setpoint delay-timer alarming strategy for industrial alarm monitoring

Zhao Yan, Dexian Huang, Jianjun Su, 2018 .

Extended-AUDI method for simultaneous determination of causality and models from process data

Wei Wang, Dexian Huang, Fan Yang, 2013, 2013 American Control Conference.

Modelling of a post-combustion CO2 capture process using deep belief network

Dexian Huang, Chao Shang, Meihong Wang, 2018 .

Adaptive State Feedback Predictive Control and Expert Control for a Delayed Coking Furnace

Dexian Huang, Yudong Wang, Jingchun Wang, 2008 .

A Holistic Probabilistic Framework for Monitoring Nonstationary Dynamic Industrial Processes

Dexian Huang, Biao Huang, David Scott, 2021, IEEE Transactions on Control Systems Technology.

The application of wavelet neural networks to nonlinear predictive control

Dexian Huang, Yihui Jin, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Research and Application of Advanced Control Software Platform based on iFIX

Dexian Huang, Chuanying Yang, 2006, 2006 6th World Congress on Intelligent Control and Automation.

An integrated strategy of product quality control and optimization with feedforward compensation for high-purity distillation process

Yongheng Jiang, Dexian Huang, Ying Zhu, 2011, 2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP).

Multiple Kernel Learning-Based Uncertainty Set Construction for Robust optimization

Dexian Huang, Biao Han, Fan Yang, 2019, 2019 IEEE 15th International Conference on Control and Automation (ICCA).

A Novel Scheduling Strategy for Crude Oil Blending

Yongheng Jiang, Dexian Huang, Liang Bai, 2010 .

Optimization on distillation via piecewise linear approximation

Yongheng Jiang, Dexian Huang, Ying Zhu, 2010, IEEE ICCA 2010.

Multiple kernel learning-aided robust optimization: Learning algorithm, computational tractability, and usage in multi-stage decision-making

Dexian Huang, Biao Han, Chao Shang, 2020, Eur. J. Oper. Res..

Combining first principles with black-box techniques for reaction systems

Dexian Huang, Jie Zhang, Yves Hontoir, 2000 .

A continuous-time formulation for refinery production scheduling problems involving operational transitions in mode switching

Yongheng Jiang, Dexian Huang, Ling Wang, 2016 .

Fault detection for ironmaking process based on stacked denoising autoencoders

Wei Wang, Dexian Huang, Hao Ye, 2016, 2016 American Control Conference (ACC).

A Systematic Approach to Dynamic Monitoring of Industrial Processes Based on Second-Order Slow Feature Analysis

Dexian Huang, Chao Shang, Fan Yang, 2018 .

Adaptive Nonlinear Model Predictive Control Using an On-line Support Vector Regression Updating Strategy

Ping Wang, Dexian Huang, Xuemin Tian, 2014 .

Refinery scheduling with varying crude: A deep belief network classification and multimodel approach

Tao Chen, Yongheng Jiang, Dexian Huang, 2014 .

Dynamic Modeling of Gross Errors via Probabilistic Slow Feature Analysis Applied to a Mining Slurry Preparation Process

Yaojie Lu, Dexian Huang, Biao Huang, 2016 .

From Generalized Gauss Bounds to Distributionally Robust Fault Detection With Unimodality Information

Dexian Huang, Hao Ye, Chao Shang, 2021, IEEE Transactions on Automatic Control.

Group-sparsity-enforcing fault discrimination and estimation with dynamic process data

Liang Zhao, Dexian Huang, Hao Ye, 2021 .

Operation optimization of Shell coal gasification process based on convolutional neural network models

Dexian Huang, Chao Shang, Kangcheng Wang, 2021 .

Refinery Production Scheduling Involving Operational Transitions of Mode Switching under Predictive Control System

Yongheng Jiang, Dexian Huang, Ling Wang, 2014 .

Control and synchronization of chaotic systems by differential evolution algorithm

Dexian Huang, Ling Wang, Bo Liu, 2007 .

Multiperiod Planning of a PVC Plant for the Optimization of Process Operation and Energy Consumption: An MINLP Approach

Dexian Huang, Songsong Liu, Xue Lian, 2016 .

Nonlinear Mimo Adaptive Predictive Control Based On Wavelet Network Model 1

Dexian Huang, Yihui Jin, Yuhong Wang, 2004 .

An effective hybrid DE-based algorithm for flow shop scheduling with limited buffers

Dexian Huang, Ling Wang, Bin Qian, 2009 .

An integrated algorithm for hinging hyperplanes and its application in distillation process

Yongheng Jiang, Dexian Huang, Xiaoyong Gao, 2011, Proceedings of the 30th Chinese Control Conference.

Diagnosis of multiple and unknown faults using the causal map and multivariate statistics

Richard D. Braatz, Dexian Huang, Benben Jiang, 2015 .

Simultaneous structure and parameter identification of multivariate systems by matrix decomposition

Fan Yang, Dexian Huang, Benben Jiang, 2016 .

Three-Stage Decomposition Modeling for Quality of Gas-Phase Polyethylene Process Based on Adaptive Hinging Hyperplanes and Impulse Response Template

Yongheng Jiang, Dexian Huang, Fan Yang, 2013 .

An Iterative Two-Level Optimization Method for the Modeling of Wiener Structure Nonlinear Dynamic Soft Sensors

Fan Yang, Dexian Huang, Xinqing Gao, 2014 .

Inferential estimation of kerosene dry point in refineries with varying crudes

Dexian Huang, Jie Zhang, Chang Zhou, 2012 .

Latent Subspace Clustering based on Deep Neural Networks

Dexian Huang, Fan Yang, Chao Shang, 2014 .

Efficient Lagrangian Decomposition Approach for Solving Refinery Production Scheduling Problems Involving Operational Transitions of Mode Switching

Yongheng Jiang, Dexian Huang, Ling Wang, 2015 .

An extended AUDI algorithm for simultaneous identification of forward and backward paths in closed-loop systems

Yongheng Jiang, Dexian Huang, Benben Jiang, 2012 .

Enhancing Dynamic Soft Sensors based on DPLS: a Temporal Smoothness Regularization Approach

Johan A. K. Suykens, Dexian Huang, Chao Shang, 2015 .

Model-Based Iterative Learning Control for Batch Processes Using Generalized Hinging Hyperplanes

Zhihua Xiong, Yongheng Jiang, Dexian Huang, 2013 .

A Comparative Study on Improved DPLS Soft Sensor Models Applied to a Crude Distillation Unit

Dexian Huang, Fan Yang, Wenxiang Lyu, 2015 .

A novel high level canonical piecewise linear model based on the simplicial partition and its application.

Zhihua Xiong, Yongheng Jiang, Dexian Huang, 2014, ISA transactions.

Trajectory Planning for Automated Driving Based on Ordinal Optimization

Yongheng Jiang, Dexian Huang, Jingchun Wang, 2017 .

Piecewise Linear Approximation Based MILP Method for PVC Plant Planning Optimization

Dexian Huang, Xiaolin Huang, Xue Lian, 2017 .