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Browsing publications by
Dr Jie Zhang.
Newcastle Authors
Title
Year
Full text
Professor Qiangda Yang
Dr Huang Huang
Dr Jie Zhang
Dr Peng Liu
A collaborative cuckoo search algorithm with modified operation mode
2023
Ruosen Qi
Dr Jie Zhang
A review on data-driven condition monitoring of industrial equipment
2023
Dr Jie Zhang
An Effective Standalone Solar Air Gap Membrane Distillation Plant for Saline Water Desalination: Mathematical Model, Optimization
2023
Dr Jie Zhang
Analysis of Desalination Performance with a Thermal Vapor Compression System
2023
Dr Jie Zhang
Application of Walnut Shell Biowaste as an Inexpensive Adsorbent for Methylene Blue Dye: Isotherms, Kinetics, Thermodynamics, and Modeling
2023
Dr Jie Zhang
Development of New Alkylated Carrageenan Derivatives: Physicochemical, Rheological, and Emulsification Properties Assessment
2023
Dr Jie Zhang
Energy and Exergy Analysis of Solar Air Gap Membrane Distillation System for Seawater Desalination
2023
Dr Jie Zhang
Evaluation of Physicochemical and Amphiphilic Properties of New Xanthan Gum Hydrophobically Functionalized Derivatives
2023
Dr Jie Zhang
Experimental Analysis and Neural Network Modeling of the Rheological Behavior of Xanthan Gum and Its Derivatives
2023
Dr Jie Zhang
Experimental Investigation of Fluid Flow through Zinc Open-Cell Foams Produced by the Excess Salt Replication Process and Suitable as a Catalyst in Wastewater Treatment
2023
Dr Jie Zhang
Formulation and Evaluation of Xanthan Gum Microspheres for the Sustained Release of Metformin Hydrochloride
2023
Fahad Al Kalbani
Dr Jie Zhang
Inferential Composition Control of a Distillation Column Using Active Disturbance Rejection Control with Soft Sensors
2023
Dr Jie Zhang
Jujube stones based highly efficient activated carbon for methylene blue adsorption: Kinetics and isotherms modeling, thermodynamics and mechanism study, optimization via response surface methodology and machine learning approaches
2023
Dr Jie Zhang
Mixed coagulant-flocculant optimization for pharmaceutical effluent pretreatment using response surface methodology and Gaussian process regression
2023
Dr Jie Zhang
Optimization of Partially Hydrolyzed Polyacrylamide (HPAM) Utilized in Water-Based Mud While Drilling
2023
Dr Hannah Kargbo
Dr Jie Zhang
Professor Anh Phan
Robust modelling development for optimisation of hydrogen production from biomass gasification process using bootstrap aggregated neural network
2023
Dr Jie Zhang
The Fluctuation Correlation between Investor Sentiment and Stock Index Using VMD-LSTM: Evidence from China Stock Market
2023
Liam Fleming
Dr Jie Zhang
Dr Shirley Coleman
A Bayesian Data Modelling Framework for Chemical Processes using Adaptive Sequential Design with Gaussian Process Regression
2022
Dr Jie Zhang
A Feedback Control Strategy for a Fed-Batch Monoclonal Antibody Production Process Utilising Infrequent and Irregular Sampled Measurements
2022
Dr Jie Zhang
A novel selective ensemble learning method for smartphone sensor-based human activity recognition based on hybrid diversity enhancement and improved binary glowworm swarm optimization
2022
Dr Shengkai Wang
Dr Jie Zhang
An Intelligent Process Fault Diagnosis System based on Andrews Plot and Convolutional Neural Network
2022
Dr Jie Zhang
Analyzing different dynamically modelled data structures and machine learning algorithms to predict PM2.5 concentration in China
2022
Professor Qiangda Yang
Peng Liu
Dr Jie Zhang
Combined heat and power economic dispatch using an adaptive cuckoo search with differential evolution mutation
2022
Dr Jie Zhang
Group decision making-based fusion for human activity recognition in body sensor networks
2022
Dr Jie Zhang
Modeling the organic matter of water using the decision tree coupled with bootstrap aggregated and least-squares boosting
2022
Wissam Muhsin
Dr Jie Zhang
Multi-Objective Optimization of a Crude Oil Hydrotreating Process with a Crude Distillation Unit Based on Bootstrap Aggregated Neural Network Models
2022
Kunpeng Wang
Dr Jie Zhang
Online temperature estimation of Shell coal gasification process based on extended Kalman filter
2022
Dr Jie Zhang
Performance Analysis of Neural Network Architecture in Developing Real-Time Malaysian River Water Quality Model
2022
Dr Kai Liu
Dr Jie Zhang
A Dual-Layer Attention-Based LSTM Network for Fed-batch Fermentation Process Modelling
2021
Dr Shengkai Wang
Dr Jie Zhang
A Fault Diagnosis Strategy based on Qualitative Trend Analysis Integrating Andrews Plot for Industrial Processes
2021
Dr Jie Zhang
A novel sensor-based human activity recognition method based on hybrid feature selection and combinational optimization
2021
Kazeem Alli
Dr Jie Zhang
Adaptive Optimal Control of Baker's Yeast Fermentation Process with Extreme Learning Machine and Recursive Least Square Technique
2021
Professor Qiangda Yang
Dr Na Dong
Dr Jie Zhang
An enhanced adaptive bat algorithm for microgrid energy scheduling
2021
Dr Jie Zhang
An Experience Transfer Approach for the Initial Data of Iterative Learning Control
2021
Dr Shengkai Wang
Dr Jie Zhang
An Intelligent Process Fault Diagnosis System based on Neural Networks and Andrews Plot
2021
Dr Jie Zhang
Comparing Different Pre-processing Techniques and Machine Learning Models to Predict PM10 and PM2.5 Concentration in Malaysia
2021
Jeremiah Corrigan
Dr Jie Zhang
Developing Accurate Data-driven Soft-sensors through Integrating Dynamic Kernel Slow Feature Analysis with Neural Networks
2021
Dr Shengkai Wang
Dr Jie Zhang
Enhanced Data-Driven Fault Diagnosis of Chemical Process via Information Fusion in Multiple Neural Networks and Andrews Plot
2021
Professor Qiangda Yang
Dr Jie Zhang
Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search
2021
Kangcheng Wang
Dr Jie Zhang
Operation optimization of Shell coal gasification process based on convolutional neural network models
2021
Dr Hannah Kargbo
Dr Jie Zhang
Professor Anh Phan
Optimisation of two-stage biomass gasification for hydrogen production via artificial neural network
2021
Dr Jie Zhang
Periodic Steady State Analysis of Lower Limb Rehabilitation Robot Based on Max-plus Algebra
2021
Dr Jie Zhang
Reliable data-driven modelling and optimisation of a batch reactor using bootstrap aggregated deep belief networks
2021
Dr Zainal Ahmad
Dr Jie Zhang
River Water Quality Prediction in Malaysia Based on Extra Tree Regression Model Coupled with Linear Discriminant Analysis (LDA)
2021
Dr Jie Zhang
Selection of EMG sensors based on motion coordinated analysis
2021
Dr Shengkai Wang
Dr Jie Zhang
An Intelligent Process Fault Diagnosis System Integrating Andrews Plot, PCA and Neural Networks
2020
Dr Jie Zhang
Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization
2020
Ruosen Qi
Dr Jie Zhang
Data-driven fault diagnosis and prognosis for process faults using principal component analysis and extreme learning
2020
Changhao Zhu
Dr Jie Zhang
Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks
2020
Dr Jie Zhang
Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process using Deep Belief Networks
2020
Ruosen Qi
Dr Jie Zhang
Fault Magnitude Prognosis in Chemical Process Based on Long Short-Term Memory Network
2020
Dr Jie Zhang
Improved Process Fault Diagnosis by Using Neural Networks with Andrews Plot and Autoencoder
2020
Dr Zhihua Xiong
Dr Jie Zhang
Integrated predictive iterative learning control based on updating reference trajectory for point-to-point tracking
2020
Jeremiah Corrigan
Dr Jie Zhang
Integrating Dynamic Slow Feature Analysis with Neural Networks for Enhancing Soft Sensor Performance
2020
Dr Jie Zhang
Lei Zhang
Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques
2020
Dr Jie Zhang
Modelling a Penicillin Fermentation Process Using Attention-based Echo State Networks Optimized by Covariance Matrix Adaption Evolutionary Strategy
2020
Dr Kai Liu
Dr Jie Zhang
Nonlinear Process Modelling Using Echo State Networks Optimised by Covariance Matrix Adaption Evolutionary Strategy
2020
Dr Jie Zhang
Optimizing sensor deployment for multi-sensor based HAR system with improved glowworm swarm optimization algorithm
2020
Dr Jie Zhang
Robust human activity recognition using single accelerometer via wavelet energy spectrum features and ensemble feature selection
2020
Peng Zhang
Dr Jie Zhang
Dr Yang Long
Dr Bingzhang Hu
An improved reinforcement learning control strategy for batch processes
2019
Changhao Zhu
Dr Jie Zhang
Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks
2019
Dr Shengkai Wang
Dr Jie Zhang
Enhanced Process Fault Diagnosis Through Integrating Neural Networks and Andrews Plot
2019
Jeremiah Corrigan
Dr Jie Zhang
Nonlinear Data-Driven Process Modelling Using Slow Feature Analysis and Neural Networks
2019
Peng Zhang
Dr Jie Zhang
Dr Bingzhang Hu
Dr Yang Long
Optimization Control of a Fed-Batch Process Using an Improved Reinforcement Learning Algorithm
2019
Professor Qiangda Yang
Dr Jie Zhang
Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search
2019
Dr Jie Zhang
Zainal Ahmad
Prediction of Water Quality Index (WQI) using Support Vector Machine (SVM) and Least Square-Support Vector Machine (LS-SVM)
2019
Ruosen Qi
Dr Jie Zhang
Process Fault Detection and Reconstruction by Principal Component Analysis
2019
Dr Jie Zhang
Randomized Kernel Principal Component Analysis for Modeling and Monitoring of Nonlinear Industrial Processes with Massive Data
2019
Dr Jie Zhang
Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine
2019
Dr Jie Zhang
Selective ensemble based on extreme learning machine for sensor-based human activity recognition
2019
Dr Jie Zhang
Single wearable accelerometer-based human activity recognition via kernel discriminant analysis and QPSO-KELM classifier
2019
Dr Jie Zhang
A Single Accelerometer-based Robust Human Activity Recognition via Wavelet Features and Ensemble Feature Selection
2018
Shallon Stubbs
Dr Jie Zhang
BioProcess performance monitoring using multiway interval partial least squares
2018
Funmi Osuolale
Dr Jie Zhang
Exergetic optimisation of atmospheric and vacuum distillation system based on bootstrap aggregated neural network models
2018
Dr Jie Zhang
Inferential active disturbance rejection control of a heat integrated distillation column using dynamic principal component regression models
2018
Changhao Zhu
Dr Jie Zhang
Inferential Estimation of Polymer Melt Index Using Deep Belief Networks
2018
Dr Jie Zhang
Dr Eni Oko
Modelling of a Post-combustion CO
2
Capture Process Using Deep Belief Network
2018
Dr Kai Liu
Dr Jie Zhang
Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy
2018
Dr Jie Zhang
Point-to-Point Iterative Learning Control with Piecewise Constant Inputs
2018
Dr Jie Zhang
Prediction of equilibrium water dew point of natural gas in TEG dehydration systems using Bayesian Feedforward Artificial Neural Network (FANN)
2018
Dr Jie Zhang
Reliable multi-objective on-line re-optimisation control of a fed-batch fermentation process using bootstrap aggregated neural networks
2018
Dr Sulaiman Lawal
Dr Jie Zhang
Actuator and Sensor Fault Tolerant Control of a Crude Distillation Unit
2017
Dr Sulaiman Lawal
Dr Jie Zhang
Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns
2017
Dr Zainal Ahmad
Dr Jie Zhang
Air pollution index prediction using multiple neural net
2017
Dr Moritz von Stosch
Dr Jie Zhang
Dr Mark Willis
Hybrid neural network modelling for process monitoring and control
2017
Dr Zainal Ahmad
Dr Jie Zhang
Improving Water Quality Index Prediction in Perak River Basin Malaysia through the Combination of Multiple Neural Networks
2017
Fahad Al Kalbani
Dr Jie Zhang
Inferential active disturbance rejection control of a heat integrated distillation column
2017
Wissam Muhsin
Dr Jie Zhang
Modelling and Optimal Operation of a Crude Oil Hydrotreating Process with Atmospheric Distillation Unit Utilising Stacked Neural Networks
2017
Fei Li
Dr Jie Zhang
Dr Eni Oko
Modelling of a Post-combustion CO
2
Capture Process Using Extreme Learning Machine
2017
Dr Jie Zhang
Prediction of combustion efficiency using multiple neural networks
2017
Dr Jie Zhang
Re-optimisation control of a fed-batch fermentation process using bootstrap aggregated extreme learning machine
2017
Dr Jie Zhang
Robust Proportional−Integral−Derivative (PID) Design for Parameter Uncertain Second-Order Plus Time Delay (SOPTD) Processes Based on Reference Model Approximation
2017
Funmi Osuolale
Dr Jie Zhang
Thermodynamic optimization of atmospheric distillation unit
2017
Dr Jie Zhang
Active Disturbance Rejection Control of a Heat Integrated Distillation Column
2016
Dr Jie Zhang
Analysis of PCA-based reconstruction method for fault diagnosis
2016
Dr Zhihua Xiong
Dr Jie Zhang
Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory
2016
Funmi Osuolale
Dr Jie Zhang
Energy efficiency optimisation for distillation column using artificial neural network models
2016
Dr Sulaiman Lawal
Dr Jie Zhang
Fault Monitoring and Fault Tolerant Control in Distillation Columns
2016
Dr Jie Zhang
Inferential disturbance observer based control of a binary distillation column
2016
Dr Jie Zhang
Integrated disturbance observer based control and inferential control of a binary distillation column
2016
Wissam Muhsin
Dr Jie Zhang
Dr Jonathan Lee
Modelling and Optimisation of a Crude Oil Hydrotreating Process Using Neural Networks
2016
Fei Li
Dr Jie Zhang
Dr Eni Oko
Dr Danping Huang
Modelling of a Post-combustion CO
2
Capture Process Using Bootstrap Aggregated Extreme Learning Machines
2016
Dr Fei Li
Dr Jie Zhang
Dr Eni Oko
Modelling of a Post-combustion CO2 Capture Process Using Extreme Learning Machine
2016
Dr Jie Zhang
Phase partition for nonlinear batch process monitoring
2016
Dr Jie Zhang
Point-to-Point Tracking of Integrated Predictive Iterative Learning Control By Using Updating-Reference and CARIMA Model
2016
Dr Zainal Ahmad
Dr Jie Zhang
Prediction of absorption and stripping factors in natural gas processing industries using feed forward artificial neural network
2016
Dr Sulaiman Lawal
Dr Jie Zhang
Sensor Fault Detection and Fault Tolerant Control of a Crude Distillation Unit
2016
Dr Jie Zhang
Window-Based Stepwise Sequential Phase Partition for Nonlinear Batch Process Monitoring
2016
Fahad Al Kalbani
Dr Jie Zhang
Active Disturbance Rejection Control of a Methanol-Water Separation Distillation Column
2015
Dr Sulaiman Lawal
Dr Jie Zhang
Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns
2015
Dr Jie Zhang
Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey
2015
Funmi Osuolale
Dr Jie Zhang
Distillation control structure selection for energy efficient operations
2015
Dr Jie Zhang
Inferential active disturbance rejection control of a distillation column
2015
Fahad Al Kalbani
Dr Jie Zhang
Inferential Active Disturbance Rejection Control of a Distillation Column
2015
Fahad Al Kalbani
Dr Jie Zhang
Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models
2015
Dr Jie Zhang
Iterative Learning Control of Polyhydroxybutyrate Production in a Sequencing Batch Reactor
2015
Dr Fei Li
Dr Jie Zhang
Dr Eni Oko
Modelling of a Post-combustion CO
2
Capture Process Using Neural Networks
2015
Funmi Osuolale
Dr Jie Zhang
Multi-objective Optimisation of Atmospheric Crude Distillation System Operations Based on Bootstrap Aggregated Neural Network Models
2015
Dr Eni Oko
Dr Jie Zhang
Neural Network Approach for Predicting Drum Pressure and Level in Coal-fired Subcritical Power Plant
2015
Dr Jie Zhang
Xiaoying Sun
Robust output feedback stabilization for discrete-time systems with time-varying input delay
2015
Dr Alison Brown
Dr Jie Zhang
Active Disturbance Rejection Control of a Neutralisation Process
2014
Funmi Osuolale
Dr Jie Zhang
Energy Efficient Control and Optimisation of Distillation Column Using Artificial Neural Network
2014
Funmi Osuolale
Dr Jie Zhang
Energy efficient control and optimization of distillation process using artificial neural network
2014
Dr Jie Zhang
Emeritus Professor Julian Morris
Multi-scale Multiblock Batch Monitoring: Sensor and Process Drift and Degradation
2014
Amin Ganjian
Dr Jie Zhang
Optimisation of a Sequencing Batch Reactor for Production of Polyhydroxybutyrate Using Process Characterisation Method and Neural Network Modelling
2014
Jeong Hong
Dr Jie Zhang
Emeritus Professor Julian Morris
Progressive multi-block modelling for enhanced fault isolation in batch processes
2014
Dr Jie Zhang
Reliable optimal control of a fed-batch fermentation process using ant colony optimization and bootstrap aggregated neural network models
2014
Amin Ganjian
Dr Jie Zhang
Modelling of a Sequencing Batch Reactor for Producing Polyhydroxybutyrate with Mixed Microbial Culture Cultivation Process Using Neural Networks and Operation Regime Classification
2013
Shallon Stubbs
Dr Jie Zhang
Emeritus Professor Julian Morris
Multiway Interval Partial Least Squares for Batch Process Performance Monitoring
2013
Dr Jie Zhang
Dr Tao Chen
Penalized Reconstruction-Based Multivariate Contribution Analysis for Fault Isolation
2013
Dr Jie Zhang
Katy Ferguson
Reliable modeling of chemical duarability of high level waste glass using bootstrap aggregated neural networks
2013
Dr Jie Zhang
Reliable Optimisation Control of a Reactive Polymer Composite Moulding Process Using Ant Colony Optimisation and Bootstrap Aggregated Neural Networks
2013
Dr Jie Zhang
Alexandre Lamande
Batch to Batch Iterative Learning Control of a Fed-Batch Fermentation Process
2012
Shallon Stubbs
Dr Jie Zhang
Emeritus Professor Julian Morris
Fault detection in dynamic processes using a simplified monitoring-specific CVA state space modelling approach
2012
Dr Jie Zhang
Inferential estimation of kerosene dry point in refineries with varying crudes
2012
Dr Jie Zhang
Nonlinear wave modeling and dynamic analysis of internal thermally coupled distillation columns
2012
Dr Jie Zhang
Reconstruction-based multivariate contribution analysis for fault isolation: A branch and bound approach
2012
Jeong Hong
Dr Jie Zhang
Emeritus Professor Julian Morris
Fault Localization in Batch Processes through Progressive Principal Component Analysis Modeling
2011
Dr Jie Zhang
Iterative learning control of a reactive polymer composite moulding process using batch-wise updated linearised models
2011
Dr Jie Zhang
Reliable optimal control of a fed-batch fermentation process using ant colony optimisation and bootstrap aggregated neural network models
2011
Dr Jie Zhang
Emeritus Professor Julian Morris
A Revised State Space Modelling Approach and Improved Fault Detection Using Combined Index Monitoring for Dynamic Processes
2010
Dr Jie Zhang
Anisah Hussain
Emeritus Professor Julian Morris
Batch-to-Batch Iterative Learning Control of a Fed-batch Fermentation Process Using Incrementally Updated Models
2010
Salim Al-Mawali
Dr Jie Zhang
Compressor surge control using a variable area throttle and fuzzy logic control
2010
Dr Zhihua Xiong
Dr Jie Zhang
Neural Network Based Iterative Learning Control for Product Qualities in Batch Processes
2010
Dr Tao Chen
Dr Jie Zhang
On-line multivariate statistical monitoring of batch processes using Gaussian mixture model
2010
Dr Jie Zhang
Progressive PCA Modeling for Enhanced Fault Diagnosis in a Batch Process
2010
Jeong Hong
Dr Jie Zhang
Quality Prediction for a Fed-Batch Fermentation Process Using Multi-Block PLS
2010
Rudy Agustriyanto
Dr Jie Zhang
Control Structure Selection for the ALSTOM Gasifier Benchmark Process Using GRDG Analysis
2009
Jeong Hong
Dr Jie Zhang
Emeritus Professor Julian Morris
Enhanced Predictive Modeling Using Multi Block Methods
2009
Shallon Stubbs
Dr Jie Zhang
Fault detection of dynamic processes using a simplified monitoring-specific CVA state space approach
2009
Shallon Stubbs
Dr Jie Zhang
Emeritus Professor Julian Morris
Fault detection of dynamic processes using a simplified monitoring-specific CVA state space approach
2009
Dr Jie Zhang
Inferential estimation of kerosene dry point in refineries with varying crudes
2009
Dr Jie Zhang
Iterative Learning Control of a Crystallisation Process Using Batch Wise Updated Linearised Models
2009
Dr Jie Zhang
Emeritus Professor Julian Morris
Iterative learning control of a crystallisation process using batch wise updated linearised models identified using PLS
2009
Dr Zhihua Xiong
Dr Jie Zhang
Iterative learning control with fixed reference batch and exponential learning gain for linear systems
2009
Dr Zhihua Xiong
Dr Jie Zhang
Iterative learning control with reference batch for linear time-variant system
2009
Zainal Ahmad
Dr Jie Zhang
Multiple neural networks modeling techniques in process control: a review
2009
Fernando Herrera Elizalde
Dr Jie Zhang
Optimal Control of Batch Processes Using Particle Swarm Optimisation with Stacked Neural Network Models
2009
Dr Jie Zhang
Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model
2009
Emeritus Professor Julian Morris
Dr Jie Zhang
Performance monitoring and batch to batch control of biotechnological processes
2009
Emeritus Professor Julian Morris
Dr Jie Zhang
Performance Monitoring and Batch to Batch Control of Biotechnological Processes
2009
Dr Jie Zhang
Selective Combination of Multiple Neural Networks for Improving Model Prediction in Nonlinear Systems Modelling through Forward Selection and Backward Elimination
2009
Salim Al-Mawali
Dr Jie Zhang
A novel fuzzy logic control strategy for compressor surge control using a variable area throttle
2008
Dr Ankur Mukherjee
Dr Jie Zhang
A reliable multi-objective control strategy for batch processes based on bootstrap aggregated neural network models
2008
Dr Jie Zhang
Emeritus Professor Julian Morris
Batch to Batch Iterative Learning Control of A Fed-batch Fermentation Process Using Linearised Models
2008
Dr Jie Zhang
Batch-to-batch control of fed-batch processes using control-affine feedforward neural network
2008
Dr Jie Zhang
Batch-to-batch optimal control of a batch polymerisation process based on stacked neural network models
2008
Dr Zhihua Xiong
Dr Jie Zhang
Integrated tracking control for batch processes in the presence of model uncertainties
2008
Dr Jie Zhang
Iterative Learning Control of Batch Processes based on Time Varying Perturbation Models
2008
Dr Jie Zhang
Iterative Learning Control with Reference Batch for Linear Time-Variant Systems
2008
Fernando Herrera Elizalde
Dr Jie Zhang
Optimal control of batch processes using particle swam optimisation with stacked neural network models
2008
Fernando Herrera Elizalde
Dr Jie Zhang
Optimal Control of Batch Processes Using Particle Swam Optimisation with Stacked Neural Network Models
2008
Dr Zhihua Xiong
Dr Jie Zhang
Optimal Iterative Learning Control for Batch Processes Based on Linear Time-varying Perturbation Model
2008
Dr Ankur Mukherjee
Dr Jie Zhang
Reliable Multi-Objective On-line Re-Optimisation Control of Batch Processes Based on Bootstrap Aggregated Neural Networks
2008
Maher Al-Mahrouq
Dr Jie Zhang
Reliable Optimal Control of a Fed-Batch Bio-Reactor Using Ant Colony Optimization and Bootstrap Aggregated Neural Networks
2008
Dr Jie Zhang
Batch-to-batch Optimal control of batch processes based on recursively updated nonlinear partial least squares models
2007
Dr Jie Zhang
Improved bleach plant control using internal model control with smith predictor
2007
Dr Jie Zhang
Integrated tracking control strategy for batch processes using a batch-wise linear time-varying perturbation model
2007
Rudy Agustriyanto
Dr Jie Zhang
Obtaining the worst case RGA and RDGA for uncertain systems via optimization
2007
Salim Al-Mawali
Dr Jie Zhang
A Fuzzy Approach to Active Surge Control of Centrifugal Compressors
2006
Zainal Ahmad
Dr Jie Zhang
A nonlinear model predictive control strategy using multiple neural network models
2006
Dr Jie Zhang
A nonlinear model predictive control strategy using multiple neural network models
2006
Dr Jie Zhang
Adaptive equality prediction of batch processes based on PLS model
2006
Qiusha Zhou
Dr Zhihua Xiong
Dr Jie Zhang
Hierarchical neural network based product quality prediction of industrial ethylene pyrolysis process
2006
Dr Jie Zhang
Improved on-line process fault diagnosis through information fusion in multiple neural networks
2006
Dr Jie Zhang
Improving multi step-ahead model prediction using multiple neural networks combination through forward selection (FS) technique
2006
Dr Jie Zhang
Dr Qibing Jin
Yaobo Xu
Inferential estimation of polymer melt index using sequentially trained bootstrap aggregated neutral networks
2006
Dr Zhihua Xiong
Dr Jie Zhang
Kernel regression modeling based batch process optimal control
2006
Dr Jie Zhang
Dr Zhihua Xiong
Nonlinear projection to latent structures method and its applications
2006
Dr Jie Zhang
Offset-free inferential feedback control of distillation compositions based on PCR and PLS models
2006
Dr Jie Zhang
Performance monitoring of processes with multiple operating modes through multiple PLS models
2006
Dr Ankur Mukherjee
Dr Jie Zhang
Reliable multi-objective optimal control of batch processes based on stacked neural network models
2006
Dr Arijit Mukherjee
Dr Jie Zhang
Reliable Multi-Objective Optimal Control of Batch Processes based on Stacked Neural Network Models
2006
Dr Zhihua Xiong
Dr Jie Zhang
A batch-to-batch iterative optimal control strategy based on recurrent neural network models
2005
Dr Jie Zhang
A neural network-based strategy for the integrated batch-to-batch control and within-batch control of batch processes
2005
Dr Jie Zhang
A recursive nonlinear PLS algorithm for adaptive nonlinear process modeling
2005
Dr Zhihua Xiong
Dr Jie Zhang
An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes
2005
Dr Jie Zhang
Batch process modelling and optimal control based on neural network models
2005
Dr Jie Zhang
Batch-to-batch optimal control based on support vector regression model
2005
Dr Yanju Liu
Hubert Yang
Dr Zhihua Xiong
Dr Jie Zhang
Batch-to-Batch Optimal Control Based on Support Vector Regression Model
2005
Dr Jie Zhang
Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling
2005
Dr Jie Zhang
Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling
2005
Dr Zhihua Xiong
Dr Jie Zhang
Integrated Batch-to-Batch Iterative Learning Control and within Batch Control of Product Quality for Batch Processes
2005
Dr Jie Zhang
Modeling and optimal control of batch processes using recurrent neuro-fuzzy networks
2005
Dr Jie Zhang
Neural network based on-line shrinking horizon re-optimization of fed-batch processes
2005
Dr Zhihua Xiong
Dr Jie Zhang
Xu Wang
Neural Network Based on-line Shrinking Horizon Re-optimization of Fed-batch Processes
2005
Dr Zhihua Xiong
Dr Jie Zhang
Neural network model-based on-line re-optimisation control of fed-batch processes using a modified iterative dynamic programming algorithm
2005
Dr Zhihua Xiong
Dr Jie Zhang
Optimal control of fed-batch processes based on multiple neural networks
2005
Dr Sarah Olsen
Dr Sanatan Chattopadhyay
Professor Anthony O'Neill
Dr Kelvin Kwa
Dr Jie Zhang
et al.
Strained Si/SiGe CMOS: high performance without re-tooling
2005
Dr Zhihua Xiong
Dr Jie Zhang
Tracking control for batch processes through integrating batch-to-batch iterative learning control and within-batch on-line control
2005
Dr Jie Zhang
A multiple PCA model based technique for the monitoring of processes with multiple operating modes
2004
Professor Professor Z Shumin Zhao
Dr Jie Zhang
A Multiple PCA Model based Technique for the Monitoring of Processes with Multiple Operating Modes
2004
Dr Jie Zhang
A neural network modeling method for batch process
2004
Dr Jie Zhang
A neural network modeling method for batch process
2004
Dr Jie Zhang
A novel nonlinear projection to latent structures algorithm
2004
Shu Zhao
Dr Jie Zhang
A novel nonlinear projection to latent structures algorithm
2004
Dr Jie Zhang
A Novel Nonlinear Projection to Latent Structures Algorithm
2004
Dr Jie Zhang
A Reliable Neural Network Model Based Optimal Control Strategy for a Batch Polymerization Reactor
2004
Dr Jie Zhang
Adaptive quality prediction for batch processes based on the PLS model
2004
Dr Zhihua Xiong
Dr Jie Zhang
Batch-to-batch optimal control of nonlinear batch processes based on incrementally updated models
2004
Dr Jie Zhang
Emeritus Professor Julian Morris
Combining first principles with black-box techniques for reaction systems
2004
Dr Jie Zhang
Emeritus Professor Julian Morris
Dynamic on-line reoptimization control of a batch MMA polymerization reactor using hybrid neural network models
2004
Zainal Ahmad
Dr Jie Zhang
Improving Long Range Prediction in Nonlinear Process Modelling through Bayesian Combination of Multiple Neural Networks
2004
Dr Jie Zhang
Integrated Batch-to-Batch Control and within Batch Control of Batch Processes Using Neural Network Models
2004
Dr Zhihua Xiong
Dr Jie Zhang
Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network
2004
Konstantinos Bezas
Tom Musicka
Dr Jie Zhang
Professor Elaine Martin
Modelling the distortion of long product sections after hot rolling using finite elements and neural networks
2004
Dr Jie Zhang
Monitoring of Processes with Multiple Operating Modes through Multiple PCA Models
2004
Professor Professor Z Shumin Zhao
Dr Jie Zhang
Monitoring of processes with multiple operating modes through multiple principle component analysis models
2004
Dr Jie Zhang
MWMPCA with application to batch processes monitoring
2004
Dr Jie Zhang
Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace
2004
Dr Zhihua Xiong
Dr Jie Zhang
Recurrent neural network model based batch-to-batch iterative optimising control
2004
Muzhong Shen
Dr Jie Zhang
Emeritus Professor Keith Scott
Regulation of power conversion in fuel cells
2004
Dr Jie Zhang
Run-to-run iterative optimization control of batch
2004
Dr Zhihua Xiong
Dr Jie Zhang
Xu Wang
Run-to-Run Iterative Optimization Control of Batch Processes Based on Recurrent Neural Networks
2004
Muzhong Shen
Dr Jie Zhang
Emeritus Professor Keith Scott
The general rule of power converted from chemical energy to electrical energy
2004
Dr Zhihua Xiong
Dr Jie Zhang
Trajectory tracking of batch processes with varying control interval and incrementally updated models
2004
Dr Zhihua Xiong
Dr Jie Zhang
Trajectory Tracking of Batch Processes with Varying Control Interval and Incrementally Updated Models
2004
Dr Zhihua Xiong
Dr Jie Zhang
Batch-to-Batch Model-based Iterative Optimisation Control for a Batch Polymerisation Reactor
2003
Mosbah Ahmed
Dr Jie Zhang
Improved Inferential Feedback Control through Combining Multiple PCR Models
2003
Zainal Ahmad
Dr Jie Zhang
Improving Data based Nonlinear Process Modelling through Bayesian Combination of Multiple Neural Networks
2003
Dr Jie Zhang
Inferential Estimation of Polymer Melt Index Using Bootstrap Aggregated Neural Networks with Sequential Training
2003
Dr Sarah Olsen
Professor Anthony O'Neill
Dr Jie Zhang
Measurements of gate-oxide interface roughness in strained-Si virtual substrate SiGe/Si MOSFET device structures
2003
Dr Jie Zhang
Multi-Objective Optimal Control of Batch Processes Using Recurrent Neuro-fuzzy Networks
2003
Dr Jie Zhang
Rudy Agustriyanto
Multivariable Inferential Feed Forward Control
2003
Dr Jie Zhang
Multivariable Inferential Feedback Control of Distillation Compositions Using Dynamic Principal Component Regression Models
2003
Dr Jie Zhang
Neural Network Model Based Batch-to-Batch Optimal Control
2003
Dr Jie Zhang
Neural Network Model based Batch-to-Batch Optimal Control
2003
Dr Zhihua Xiong
Dr Jie Zhang
Product Quality Trajectory Tracking in Batch Processes Using Iterative Learning Control Based on Time-Varying Perturbation Models
2003
Dr Jie Zhang
Reliable Optimal Control of a Batch Polymerisation Reactor Based on Neural Network Model with Model Prediction Confidence Bounds
2003
Zainal Ahmad
Dr Jie Zhang
Farah Taip
Selective Combination of Multiple Neural Networks for Improving Long Range Prediction in Nonlinear Process Modelling based on Correlation Analysis
2003
Zainal Ahmad
Dr Jie Zhang
Selective Combination of Multiple Neural Networks for Improving Long Range Prediction in Nonlinear Process Modelling through Correlation Coefficient Analysis
2003
Zainal Ahmad
Dr Jie Zhang
A comparison of different methods for combining multiple neural networks models
2002
Professor Jun Jiang
Dr Jie Zhang
A Steady State Model for Propylene Polymerization in an Industrial Loop Reactor and Its Application in Melt Index Predication
2002
Dr Jie Zhang
A training method for enhancing neural network model generalisation
2002
Dr Shouwen Fan
Dr Jie Zhang
Dynamic Modelling of an Industrial Polypropylene Reactor and Its Application in Melt Index Prediction During Grade Transitions
2002
Dr Jie Zhang
Improved on-line process fault diagnosis using stacked neural networks
2002
Zainal Ahmad
Dr Jie Zhang
Improving long range prediction for nonlinear process modelling through combining multiple neural networks
2002
Zhang Zhang
Dr Jie Zhang
Industrial Application of Non-equilibrium Model: Simulation and Analysis of Ethylene Fractionator
2002
Dr Zhihua Xiong
Dr Jie Zhang
Modeling and optimal control of fed-batch processes using control affine feedforward neural networks
2002
Dr Zhihua Xiong
Dr Jie Zhang
Neural Network Based On-Line Re-Optimisation Control of Fed-Batch Processes Using Iterative Dynamic Programming for Discret-Time Systems
2002
Dr Jie Zhang
Neural Networks based Model Predictive Control of an Industrial Polypropylene Process
2002
Dr Jie Zhang
Emeritus Professor Julian Morris
Non-linear chemical process modelling and application in epichlorhydrine production plant using wavelet networks
2002
Dr Jie Zhang
Optimal control of a batch emulsion copolymerisation reactor based on recurrent neural network models
2002
Dr Jie Zhang
Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model
2002
Dr Zhihua Xiong
Dr Jie Zhang
Optimal control of batch processes incorporating model prediction confidence bounds based on multiple neural networks
2002
Dr Jie Zhang
Optimal Energy Cost in Ideal Internal Thermally Coupled Distillation Columns
2002
Dr Jie Zhang
Sequential training of bootstrap aggregated neural networks for nonlinear systems modelling
2002
Dr Jie Zhang
A nonlinear gain scheduling control strategy based on neuro-fuzzy networks
2001
Dr Jie Zhang
Developing robust neural network models by using both dynamic and static process operating data
2001
Dr Jie Zhang
Emeritus Professor Julian Morris
Inferential Estimation and Optimal Control of a Batch Polymerisation Reactor Using Stacked Neural Networks
2001
Dr Jie Zhang
Inferential Feedback Control of Distillation Composition based on PCR and PLS Models
2001
Dr Jie Zhang
Rudy Agustriyanto
Inferential Feedforward Control of a Distillation Column
2001
Dr Jie Zhang
Modeling and optimal control of a batch polymerization reactor using a hybrid stacked recurrent neural network model
2001
Dr Jie Zhang
Nonlinear model predictive control based on multiple local linear models
2001
Dr Jie Zhang
Emeritus Professor Julian Morris
On-line Re-optimisation Control of a Batch Polymerisation Reactor based on a Hybrid Recurrent Neural Network Model
2001
Dr Jie Zhang
Recurrent Neuro-Fuzzy Networks for the Modelling and Optimal Control of Batch Processes
2001
Dr Jie Zhang
Recurrent neuro-fuzzy networks for the modelling and optimal control of batch processes
2001
Dr Jie Zhang
Emeritus Professor Julian Morris
Long range predictive control of nonlinear processes based on recurrent neuro-fuzzy network models
2000
Dr Jie Zhang
Developing robust non-linear models through bootstrap aggregated neural networks
1999
Dr Jie Zhang
Inferential estimation of polymer quality using bootstrap aggregated neural networks
1999
Dr Jie Zhang
Emeritus Professor Julian Morris
Recurrent Neuro-Fuzzy Networks for Nonlinear Process Modeling
1999