Dexian Huang

Orcid: 0000-0001-5717-8465

According to our database1, Dexian Huang authored at least 41 papers between 1997 and 2025.

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

Timeline

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Bibliography

2025
Data-driven output prediction and control of stochastic systems: An innovation-based approach.
Autom., 2025

2024
Data-Driven Fault Detection for Lithium-Ion Battery Packs via Behavioral System Representation.
Proceedings of the IEEE Conference on Control Technology and Applications, 2024

2023
From Generalized Gauss Bounds to Distributionally Robust Fault Detection With Unimodality Information.
IEEE Trans. Autom. Control., September, 2023

Efficient Relay Autotuner of Industrial Controllers via Rank-Constrained Identification of Low-Order Time-Delay Models.
IEEE Trans. Control. Syst. Technol., July, 2023

Data-Driven Predictive Control Using Closed-Loop Data: An Instrumental Variable Approach.
IEEE Control. Syst. Lett., 2023

Accelerated Nonconvex ADMM with Self-Adaptive Penalty for Rank-Constrained Model Identification.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Distributionally robust chance constraint with unimodality-skewness information and conic reformulation.
Oper. Res. Lett., 2022

2021
A Holistic Probabilistic Framework for Monitoring Nonstationary Dynamic Industrial Processes.
IEEE Trans. Control. Syst. Technol., 2021

Multiple kernel learning-aided robust optimization: Learning algorithm, computational tractability, and usage in multi-stage decision-making.
Eur. J. Oper. Res., 2021

2019
Multiple Kernel Learning-Based Uncertainty Set Construction for Robust optimization.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

A Probability Model-based Memetic Algorithm for Distributed Heterogeneous Flow-Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Reaction temperature estimation in Shell coal gasification process.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes.
IEEE Trans. Ind. Electron., 2018

Dynamic Soft Sensor Based on Impulse Response Template and Deep Neural Network for Industrial Processes.
Proceedings of the Fuzzy Systems and Data Mining IV, 2018

2017
Soft sensor development and applications based on LSTM in deep neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Automatic hyper-parameter tuning for soft sensor modeling based on dynamic deep neural network.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016
Intelligent computing budget allocation for on-road trajectory planning based on candidate curves.
Frontiers Inf. Technol. Electron. Eng., 2016

Fault detection for ironmaking process based on stacked denoising autoencoders.
Proceedings of the 2016 American Control Conference, 2016

A robust integrated predictive iterative learning control based on updating reference for point-to-point tracking.
Proceedings of the 2016 American Control Conference, 2016

2015
Simultaneous Identification of Bidirectional Path Models Based on Process Data.
IEEE Trans Autom. Sci. Eng., 2015

A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis.
Comput. Chem. Eng., 2015

Optimizing scheduling of refinery operations based on piecewise linear models.
Comput. Chem. Eng., 2015

Simultaneous identification of bi-directional paths in closed-loop systems with coloured noise.
Autom., 2015

Extracting latent dynamics from process data for quality prediction and performance assessment via slow feature regression.
Proceedings of the American Control Conference, 2015

Detecting and isolating plant-wide oscillations via slow feature analysis.
Proceedings of the American Control Conference, 2015

2014
Novel Bayesian Framework for Dynamic Soft Sensor Based on Support Vector Machine With Finite Impulse Response.
IEEE Trans. Control. Syst. Technol., 2014

2013
A novel probabilistic approximate subgradient method in Lagrangian Relaxation for flow-shop scheduling problems.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Prediction of syngas compositions in shell coal gasification process via dynamic soft-sensing method.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

A novel high level canonical piecewise linear model based on the simplicial partition and its application.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Extended-AUDI method for simultaneous determination of causality and models from process data.
Proceedings of the American Control Conference, 2013

2011
Intelligent switching expert system for delayed coking unit based on iterative learning strategy.
Expert Syst. Appl., 2011

2010
Optimization on distillation via piecewise linear approximation.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

2009
Multi-objective no-wait flow-shop scheduling with a memetic algorithm based on differential evolution.
Soft Comput., 2009

An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers.
Comput. Oper. Res., 2009

2007
Designing Neural Networks Using PSO-Based Memetic Algorithm.
Proceedings of the Advances in Neural Networks, 2007

DE and NLP Based QPLS Algorithm.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Multi-units Unified Process Optimization Under Uncertainty Based on Differential Evolution with Hypothesis Test.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

2005
Nonlinear Predictive Control Based on Wavelet Neural Network Applied to Polypropylene Process.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Designing Neural Networks Using Hybrid Particle Swarm Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

RBFNN-Based Multiple Steady States Controller for Nonlinear System and Its Application.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

1997
The application of wavelet neural networks to nonlinear predictive control.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997


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