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Browsing publications by Dr Jie Zhang.

Newcastle AuthorsTitleYearFull text
Shengkai Wang
Dr Jie Zhang
An Intelligent Process Fault Diagnosis System based on Andrews Plot and Convolutional Neural Network2022
Dr Jie Zhang
Modeling the organic matter of water using the decision tree coupled with bootstrap aggregated and least-squares boosting2022
Kai Liu
Dr Jie Zhang
A Dual-Layer Attention-Based LSTM Network for Fed-batch Fermentation Process Modelling2021
Shengkai Wang
Dr Jie Zhang
A Fault Diagnosis Strategy based on Qualitative Trend Analysis Integrating Andrews Plot for Industrial Processes2021
Dr Jie Zhang
A novel sensor-based human activity recognition method based on hybrid feature selection and combinational optimization2021
Kazeem Alli
Dr Jie Zhang
Adaptive Optimal Control of Baker's Yeast Fermentation Process with Extreme Learning Machine and Recursive Least Square Technique2021
Professor Qiangda Yang
Dr Na Dong
Dr Jie Zhang
An enhanced adaptive bat algorithm for microgrid energy scheduling2021
Dr Jie Zhang
An Experience Transfer Approach for the Initial Data of Iterative Learning Control2021
Shengkai Wang
Dr Jie Zhang
An Intelligent Process Fault Diagnosis System based on Neural Networks and Andrews Plot2021
Professor Qiangda Yang
Peng Liu
Dr Jie Zhang
Combined heat and power economic dispatch using an adaptive cuckoo search with differential evolution mutation2021
Dr Jie Zhang
Comparing Different Pre-processing Techniques and Machine Learning Models to Predict PM10 and PM2.5 Concentration in Malaysia2021
Jeremiah Corrigan
Dr Jie Zhang
Developing Accurate Data-driven Soft-sensors through Integrating Dynamic Kernel Slow Feature Analysis with Neural Networks2021
Shengkai Wang
Dr Jie Zhang
Enhanced Data-Driven Fault Diagnosis of Chemical Process via Information Fusion in Multiple Neural Networks and Andrews Plot2021
Professor Qiangda Yang
Dr Jie Zhang
Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search2021
Kunpeng Wang
Dr Jie Zhang
Online temperature estimation of Shell coal gasification process based on extended Kalman filter2021
Kangcheng Wang
Dr Jie Zhang
Operation optimization of Shell coal gasification process based on convolutional neural network models2021
Hannah Kargbo
Dr Jie Zhang
Dr Anh Phan
Optimisation of two-stage biomass gasification for hydrogen production via artificial neural network2021
Dr Jie Zhang
Periodic Steady State Analysis of Lower Limb Rehabilitation Robot Based on Max-plus Algebra2021
Dr Jie Zhang
Reliable data-driven modelling and optimisation of a batch reactor using bootstrap aggregated deep belief networks2021
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 analysis2021
Shengkai Wang
Dr Jie Zhang
An Intelligent Process Fault Diagnosis System Integrating Andrews Plot, PCA and Neural Networks2020
Dr Jie Zhang
Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization2020
Ruosen Qi
Dr Jie Zhang
Data-driven fault diagnosis and prognosis for process faults using principal component analysis and extreme learning2020
Changhao Zhu
Dr Jie Zhang
Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks2020
Dr Jie Zhang
Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process using Deep Belief Networks2020
Ruosen Qi
Dr Jie Zhang
Fault Magnitude Prognosis in Chemical Process Based on Long Short-Term Memory Network2020
Dr Jie Zhang
Improved Process Fault Diagnosis by Using Neural Networks with Andrews Plot and Autoencoder2020
Dr Zhihua Xiong
Dr Jie Zhang
Integrated predictive iterative learning control based on updating reference trajectory for point-to-point tracking2020
Jeremiah Corrigan
Dr Jie Zhang
Integrating Dynamic Slow Feature Analysis with Neural Networks for Enhancing Soft Sensor Performance2020
Dr Jie Zhang
Lei Zhang
Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques2020
Dr Jie Zhang
Modelling a Penicillin Fermentation Process Using Attention-based Echo State Networks Optimized by Covariance Matrix Adaption Evolutionary Strategy2020
Kai Liu
Dr Jie Zhang
Nonlinear Process Modelling Using Echo State Networks Optimised by Covariance Matrix Adaption Evolutionary Strategy2020
Dr Jie Zhang
Optimizing sensor deployment for multi-sensor based HAR system with improved glowworm swarm optimization algorithm2020
Dr Jie Zhang
Robust human activity recognition using single accelerometer via wavelet energy spectrum features and ensemble feature selection2020
Peng Zhang
Dr Jie Zhang
Dr Yang Long
Dr Bingzhang Hu
An improved reinforcement learning control strategy for batch processes2019
Changhao Zhu
Dr Jie Zhang
Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks2019
Shengkai Wang
Dr Jie Zhang
Enhanced Process Fault Diagnosis Through Integrating Neural Networks and Andrews Plot2019
Jeremiah Corrigan
Dr Jie Zhang
Nonlinear Data-Driven Process Modelling Using Slow Feature Analysis and Neural Networks2019
Peng Zhang
Dr Jie Zhang
Dr Bingzhang Hu
Dr Yang Long
Optimization Control of a Fed-Batch Process Using an Improved Reinforcement Learning Algorithm2019
Professor Qiangda Yang
Dr Jie Zhang
Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search2019
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 Analysis2019
Dr Jie Zhang
Randomized Kernel Principal Component Analysis for Modeling and Monitoring of Nonlinear Industrial Processes with Massive Data2019
Dr Jie Zhang
Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine2019
Dr Jie Zhang
Selective ensemble based on extreme learning machine for sensor-based human activity recognition2019
Dr Jie Zhang
Single wearable accelerometer-based human activity recognition via kernel discriminant analysis and QPSO-KELM classifier2019
Dr Jie Zhang
A Single Accelerometer-based Robust Human Activity Recognition via Wavelet Features and Ensemble Feature Selection2018
Shallon Stubbs
Dr Jie Zhang
BioProcess performance monitoring using multiway interval partial least squares2018
Funmi Osuolale
Dr Jie Zhang
Exergetic optimisation of atmospheric and vacuum distillation system based on bootstrap aggregated neural network models2018
Dr Jie Zhang
Inferential active disturbance rejection control of a heat integrated distillation column using dynamic principal component regression models2018
Changhao Zhu
Dr Jie Zhang
Inferential Estimation of Polymer Melt Index Using Deep Belief Networks2018
Dr Jie Zhang
Dr Eni Oko
Modelling of a Post-combustion CO2 Capture Process Using Deep Belief Network2018
Kai Liu
Dr Jie Zhang
Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy2018
Dr Jie Zhang
Point-to-Point Iterative Learning Control with Piecewise Constant Inputs2018
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 networks2018
Dr Sulaiman Lawal
Dr Jie Zhang
Actuator and Sensor Fault Tolerant Control of a Crude Distillation Unit2017
Dr Sulaiman Lawal
Dr Jie Zhang
Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns2017
Dr Zainal Ahmad
Dr Jie Zhang
Air pollution index prediction using multiple neural net2017
Dr Moritz von Stosch
Dr Jie Zhang
Dr Mark Willis
Hybrid neural network modelling for process monitoring and control2017
Dr Zainal Ahmad
Dr Jie Zhang
Improving Water Quality Index Prediction in Perak River Basin Malaysia through the Combination of Multiple Neural Networks2017
Fahad Al Kalbani
Dr Jie Zhang
Inferential active disturbance rejection control of a heat integrated distillation column2017
Wissam Muhsin
Dr Jie Zhang
Modelling and Optimal Operation of a Crude Oil Hydrotreating Process with Atmospheric Distillation Unit Utilising Stacked Neural Networks2017
Fei Li
Dr Jie Zhang
Dr Eni Oko
Modelling of a Post-combustion CO2 Capture Process Using Extreme Learning Machine2017
Dr Jie Zhang
Prediction of combustion efficiency using multiple neural networks2017
Dr Jie Zhang
Re-optimisation control of a fed-batch fermentation process using bootstrap aggregated extreme learning machine2017
Dr Jie Zhang
Robust Proportional−Integral−Derivative (PID) Design for Parameter Uncertain Second-Order Plus Time Delay (SOPTD) Processes Based on Reference Model Approximation2017
Funmi Osuolale
Dr Jie Zhang
Thermodynamic optimization of atmospheric distillation unit2017
Dr Jie Zhang
Active Disturbance Rejection Control of a Heat Integrated Distillation Column2016
Dr Jie Zhang
Analysis of PCA-based reconstruction method for fault diagnosis2016
Dr Zhihua Xiong
Dr Jie Zhang
Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory2016
Funmi Osuolale
Dr Jie Zhang
Energy efficiency optimisation for distillation column using artificial neural network models2016
Dr Sulaiman Lawal
Dr Jie Zhang
Fault Monitoring and Fault Tolerant Control in Distillation Columns2016
Dr Jie Zhang
Inferential disturbance observer based control of a binary distillation column2016
Dr Jie Zhang
Integrated disturbance observer based control and inferential control of a binary distillation column2016
Wissam Muhsin
Dr Jie Zhang
Dr Jonathan Lee
Modelling and Optimisation of a Crude Oil Hydrotreating Process Using Neural Networks2016
Fei Li
Dr Jie Zhang
Dr Eni Oko
Dr Danping Huang
Modelling of a Post-combustion CO2 Capture Process Using Bootstrap Aggregated Extreme Learning Machines2016
Dr Fei Li
Dr Jie Zhang
Dr Eni Oko
Modelling of a Post-combustion CO2 Capture Process Using Extreme Learning Machine2016
Dr Jie Zhang
Phase partition for nonlinear batch process monitoring2016
Dr Jie Zhang
Point-to-Point Tracking of Integrated Predictive Iterative Learning Control By Using Updating-Reference and CARIMA Model2016
Dr Zainal Ahmad
Dr Jie Zhang
Prediction of absorption and stripping factors in natural gas processing industries using feed forward artificial neural network2016
Dr Sulaiman Lawal
Dr Jie Zhang
Sensor Fault Detection and Fault Tolerant Control of a Crude Distillation Unit2016
Dr Jie Zhang
Window-Based Stepwise Sequential Phase Partition for Nonlinear Batch Process Monitoring2016
Fahad Al Kalbani
Dr Jie Zhang
Active Disturbance Rejection Control of a Methanol-Water Separation Distillation Column2015
Dr Sulaiman Lawal
Dr Jie Zhang
Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns2015
Dr Jie Zhang
Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey2015
Funmi Osuolale
Dr Jie Zhang
Distillation control structure selection for energy efficient operations2015
Dr Jie Zhang
Inferential active disturbance rejection control of a distillation column2015
Fahad Al Kalbani
Dr Jie Zhang
Inferential Active Disturbance Rejection Control of a Distillation Column2015
Fahad Al Kalbani
Dr Jie Zhang
Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models2015
Dr Jie Zhang
Iterative Learning Control of Polyhydroxybutyrate Production in a Sequencing Batch Reactor2015
Dr Fei Li
Dr Jie Zhang
Dr Eni Oko
Modelling of a Post-combustion CO2 Capture Process Using Neural Networks2015
Funmi Osuolale
Dr Jie Zhang
Multi-objective Optimisation of Atmospheric Crude Distillation System Operations Based on Bootstrap Aggregated Neural Network Models2015
Dr Eni Oko
Dr Jie Zhang
Neural Network Approach for Predicting Drum Pressure and Level in Coal-fired Subcritical Power Plant2015
Dr Jie Zhang
Xiaoying Sun
Robust output feedback stabilization for discrete-time systems with time-varying input delay2015
Dr Alison Brown
Dr Jie Zhang
Active Disturbance Rejection Control of a Neutralisation Process2014
Funmi Osuolale
Dr Jie Zhang
Energy Efficient Control and Optimisation of Distillation Column Using Artificial Neural Network2014
Funmi Osuolale
Dr Jie Zhang
Energy efficient control and optimization of distillation process using artificial neural network2014
Dr Jie Zhang
Emeritus Professor Julian Morris
Multi-scale Multiblock Batch Monitoring: Sensor and Process Drift and Degradation2014
Amin Ganjian
Dr Jie Zhang
Optimisation of a Sequencing Batch Reactor for Production of Polyhydroxybutyrate Using Process Characterisation Method and Neural Network Modelling2014
Jeong Hong
Dr Jie Zhang
Emeritus Professor Julian Morris
Progressive multi-block modelling for enhanced fault isolation in batch processes2014
Dr Jie Zhang
Reliable optimal control of a fed-batch fermentation process using ant colony optimization and bootstrap aggregated neural network models2014
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 Classification2013
Shallon Stubbs
Dr Jie Zhang
Emeritus Professor Julian Morris
Multiway Interval Partial Least Squares for Batch Process Performance Monitoring2013
Dr Jie Zhang
Dr Tao Chen
Penalized Reconstruction-Based Multivariate Contribution Analysis for Fault Isolation2013
Dr Jie Zhang
Katy Ferguson
Reliable modeling of chemical duarability of high level waste glass using bootstrap aggregated neural networks2013
Dr Jie Zhang
Reliable Optimisation Control of a Reactive Polymer Composite Moulding Process Using Ant Colony Optimisation and Bootstrap Aggregated Neural Networks2013
Dr Jie Zhang
Alexandre Lamande
Batch to Batch Iterative Learning Control of a Fed-Batch Fermentation Process2012
Shallon Stubbs
Dr Jie Zhang
Emeritus Professor Julian Morris
Fault detection in dynamic processes using a simplified monitoring-specific CVA state space modelling approach2012
Dr Jie Zhang
Inferential estimation of kerosene dry point in refineries with varying crudes2012
Dr Jie Zhang
Nonlinear wave modeling and dynamic analysis of internal thermally coupled distillation columns2012
Dr Jie Zhang
Reconstruction-based multivariate contribution analysis for fault isolation: A branch and bound approach2012
Jeong Hong
Dr Jie Zhang
Emeritus Professor Julian Morris
Fault Localization in Batch Processes through Progressive Principal Component Analysis Modeling2011
Dr Jie Zhang
Iterative learning control of a reactive polymer composite moulding process using batch-wise updated linearised models2011
Dr Jie Zhang
Reliable optimal control of a fed-batch fermentation process using ant colony optimisation and bootstrap aggregated neural network models2011
Dr Jie Zhang
Emeritus Professor Julian Morris
A Revised State Space Modelling Approach and Improved Fault Detection Using Combined Index Monitoring for Dynamic Processes2010
Dr Jie Zhang
Anisah Hussain
Emeritus Professor Julian Morris
Batch-to-Batch Iterative Learning Control of a Fed-batch Fermentation Process Using Incrementally Updated Models2010
Salim Al-Mawali
Dr Jie Zhang
Compressor surge control using a variable area throttle and fuzzy logic control2010
Dr Zhihua Xiong
Dr Jie Zhang
Neural Network Based Iterative Learning Control for Product Qualities in Batch Processes2010
Dr Tao Chen
Dr Jie Zhang
On-line multivariate statistical monitoring of batch processes using Gaussian mixture model2010
Dr Jie Zhang
Progressive PCA Modeling for Enhanced Fault Diagnosis in a Batch Process2010
Jeong Hong
Dr Jie Zhang
Quality Prediction for a Fed-Batch Fermentation Process Using Multi-Block PLS2010
Rudy Agustriyanto
Dr Jie Zhang
Control Structure Selection for the ALSTOM Gasifier Benchmark Process Using GRDG Analysis2009
Jeong Hong
Dr Jie Zhang
Emeritus Professor Julian Morris
Enhanced Predictive Modeling Using Multi Block Methods2009
Shallon Stubbs
Dr Jie Zhang
Fault detection of dynamic processes using a simplified monitoring-specific CVA state space approach2009
Shallon Stubbs
Dr Jie Zhang
Emeritus Professor Julian Morris
Fault detection of dynamic processes using a simplified monitoring-specific CVA state space approach2009
Dr Jie Zhang
Inferential estimation of kerosene dry point in refineries with varying crudes2009
Dr Jie Zhang
Iterative Learning Control of a Crystallisation Process Using Batch Wise Updated Linearised Models2009
Dr Jie Zhang
Emeritus Professor Julian Morris
Iterative learning control of a crystallisation process using batch wise updated linearised models identified using PLS2009
Dr Zhihua Xiong
Dr Jie Zhang
Iterative learning control with fixed reference batch and exponential learning gain for linear systems2009
Dr Zhihua Xiong
Dr Jie Zhang
Iterative learning control with reference batch for linear time-variant system2009
Zainal Ahmad
Dr Jie Zhang
Multiple neural networks modeling techniques in process control: a review2009
Fernando Herrera Elizalde
Dr Jie Zhang
Optimal Control of Batch Processes Using Particle Swarm Optimisation with Stacked Neural Network Models2009
Dr Jie Zhang
Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model2009
Emeritus Professor Julian Morris
Dr Jie Zhang
Performance monitoring and batch to batch control of biotechnological processes2009
Emeritus Professor Julian Morris
Dr Jie Zhang
Performance Monitoring and Batch to Batch Control of Biotechnological Processes2009
Dr Jie Zhang
Selective Combination of Multiple Neural Networks for Improving Model Prediction in Nonlinear Systems Modelling through Forward Selection and Backward Elimination2009
Salim Al-Mawali
Dr Jie Zhang
A novel fuzzy logic control strategy for compressor surge control using a variable area throttle2008
Dr Ankur Mukherjee
Dr Jie Zhang
A reliable multi-objective control strategy for batch processes based on bootstrap aggregated neural network models2008
Dr Jie Zhang
Emeritus Professor Julian Morris
Batch to Batch Iterative Learning Control of A Fed-batch Fermentation Process Using Linearised Models2008
Dr Jie Zhang
Batch-to-batch control of fed-batch processes using control-affine feedforward neural network2008
Dr Jie Zhang
Batch-to-batch optimal control of a batch polymerisation process based on stacked neural network models2008
Dr Zhihua Xiong
Dr Jie Zhang
Integrated tracking control for batch processes in the presence of model uncertainties2008
Dr Jie Zhang
Iterative Learning Control of Batch Processes based on Time Varying Perturbation Models2008
Dr Jie Zhang
Iterative Learning Control with Reference Batch for Linear Time-Variant Systems2008
Fernando Herrera Elizalde
Dr Jie Zhang
Optimal control of batch processes using particle swam optimisation with stacked neural network models2008
Fernando Herrera Elizalde
Dr Jie Zhang
Optimal Control of Batch Processes Using Particle Swam Optimisation with Stacked Neural Network Models2008
Dr Zhihua Xiong
Dr Jie Zhang
Optimal Iterative Learning Control for Batch Processes Based on Linear Time-varying Perturbation Model2008
Dr Ankur Mukherjee
Dr Jie Zhang
Reliable Multi-Objective On-line Re-Optimisation Control of Batch Processes Based on Bootstrap Aggregated Neural Networks2008
Maher Al-Mahrouq
Dr Jie Zhang
Reliable Optimal Control of a Fed-Batch Bio-Reactor Using Ant Colony Optimization and Bootstrap Aggregated Neural Networks2008
Dr Jie Zhang
Batch-to-batch Optimal control of batch processes based on recursively updated nonlinear partial least squares models2007
Dr Jie Zhang
Improved bleach plant control using internal model control with smith predictor2007
Dr Jie Zhang
Integrated tracking control strategy for batch processes using a batch-wise linear time-varying perturbation model2007
Rudy Agustriyanto
Dr Jie Zhang
Obtaining the worst case RGA and RDGA for uncertain systems via optimization2007
Salim Al-Mawali
Dr Jie Zhang
A Fuzzy Approach to Active Surge Control of Centrifugal Compressors2006
Zainal Ahmad
Dr Jie Zhang
A nonlinear model predictive control strategy using multiple neural network models2006
Dr Jie Zhang
A nonlinear model predictive control strategy using multiple neural network models2006
Dr Jie Zhang
Adaptive equality prediction of batch processes based on PLS model2006
Qiusha Zhou
Dr Zhihua Xiong
Dr Jie Zhang
Hierarchical neural network based product quality prediction of industrial ethylene pyrolysis process2006
Dr Jie Zhang
Improved on-line process fault diagnosis through information fusion in multiple neural networks2006
Dr Jie Zhang
Improving multi step-ahead model prediction using multiple neural networks combination through forward selection (FS) technique2006
Dr Jie Zhang
Dr Qibing Jin
Yaobo Xu
Inferential estimation of polymer melt index using sequentially trained bootstrap aggregated neutral networks2006
Dr Zhihua Xiong
Dr Jie Zhang
Kernel regression modeling based batch process optimal control2006
Dr Jie Zhang
Dr Zhihua Xiong
Nonlinear projection to latent structures method and its applications2006
Dr Jie Zhang
Offset-free inferential feedback control of distillation compositions based on PCR and PLS models2006
Dr Jie Zhang
Performance monitoring of processes with multiple operating modes through multiple PLS models2006
Dr Ankur Mukherjee
Dr Jie Zhang
Reliable multi-objective optimal control of batch processes based on stacked neural network models2006
Dr Arijit Mukherjee
Dr Jie Zhang
Reliable Multi-Objective Optimal Control of Batch Processes based on Stacked Neural Network Models2006
Dr Zhihua Xiong
Dr Jie Zhang
A batch-to-batch iterative optimal control strategy based on recurrent neural network models2005
Dr Jie Zhang
A neural network-based strategy for the integrated batch-to-batch control and within-batch control of batch processes2005
Dr Jie Zhang
A recursive nonlinear PLS algorithm for adaptive nonlinear process modeling2005
Dr Zhihua Xiong
Dr Jie Zhang
An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes2005
Dr Jie Zhang
Batch process modelling and optimal control based on neural network models2005
Dr Jie Zhang
Batch-to-batch optimal control based on support vector regression model2005
Dr Yanju Liu
Hubert Yang
Dr Zhihua Xiong
Dr Jie Zhang
Batch-to-Batch Optimal Control Based on Support Vector Regression Model2005
Dr Jie Zhang
Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling2005
Dr Jie Zhang
Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling2005
Dr Zhihua Xiong
Dr Jie Zhang
Integrated Batch-to-Batch Iterative Learning Control and within Batch Control of Product Quality for Batch Processes2005
Dr Jie Zhang
Modeling and optimal control of batch processes using recurrent neuro-fuzzy networks2005
Dr Jie Zhang
Neural network based on-line shrinking horizon re-optimization of fed-batch processes2005
Dr Zhihua Xiong
Dr Jie Zhang
Xu Wang
Neural Network Based on-line Shrinking Horizon Re-optimization of Fed-batch Processes2005
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 algorithm2005
Dr Zhihua Xiong
Dr Jie Zhang
Optimal control of fed-batch processes based on multiple neural networks2005
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-tooling2005
Dr Zhihua Xiong
Dr Jie Zhang
Tracking control for batch processes through integrating batch-to-batch iterative learning control and within-batch on-line control2005
Dr Jie Zhang
A multiple PCA model based technique for the monitoring of processes with multiple operating modes2004
Professor Professor Z Shumin Zhao
Dr Jie Zhang
A Multiple PCA Model based Technique for the Monitoring of Processes with Multiple Operating Modes2004
Dr Jie Zhang
A neural network modeling method for batch process2004
Dr Jie Zhang
A neural network modeling method for batch process2004
Dr Jie Zhang
A novel nonlinear projection to latent structures algorithm2004
Shu Zhao
Dr Jie Zhang
A novel nonlinear projection to latent structures algorithm2004
Dr Jie Zhang
A Novel Nonlinear Projection to Latent Structures Algorithm2004
Dr Jie Zhang
A Reliable Neural Network Model Based Optimal Control Strategy for a Batch Polymerization Reactor2004
Dr Jie Zhang
Adaptive quality prediction for batch processes based on the PLS model2004
Dr Zhihua Xiong
Dr Jie Zhang
Batch-to-batch optimal control of nonlinear batch processes based on incrementally updated models2004
Dr Jie Zhang
Emeritus Professor Julian Morris
Combining first principles with black-box techniques for reaction systems2004
Dr Jie Zhang
Emeritus Professor Julian Morris
Dynamic on-line reoptimization control of a batch MMA polymerization reactor using hybrid neural network models2004
Zainal Ahmad
Dr Jie Zhang
Improving Long Range Prediction in Nonlinear Process Modelling through Bayesian Combination of Multiple Neural Networks2004
Dr Jie Zhang
Integrated Batch-to-Batch Control and within Batch Control of Batch Processes Using Neural Network Models2004
Dr Zhihua Xiong
Dr Jie Zhang
Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network2004
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 networks2004
Dr Jie Zhang
Monitoring of Processes with Multiple Operating Modes through Multiple PCA Models2004
Professor Professor Z Shumin Zhao
Dr Jie Zhang
Monitoring of processes with multiple operating modes through multiple principle component analysis models2004
Dr Jie Zhang
MWMPCA with application to batch processes monitoring2004
Dr Jie Zhang
Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace2004
Dr Zhihua Xiong
Dr Jie Zhang
Recurrent neural network model based batch-to-batch iterative optimising control2004
Muzhong Shen
Dr Jie Zhang
Emeritus Professor Keith Scott
Regulation of power conversion in fuel cells2004
Dr Jie Zhang
Run-to-run iterative optimization control of batch2004
Dr Zhihua Xiong
Dr Jie Zhang
Xu Wang
Run-to-Run Iterative Optimization Control of Batch Processes Based on Recurrent Neural Networks2004
Muzhong Shen
Dr Jie Zhang
Emeritus Professor Keith Scott
The general rule of power converted from chemical energy to electrical energy2004
Dr Zhihua Xiong
Dr Jie Zhang
Trajectory tracking of batch processes with varying control interval and incrementally updated models2004
Dr Zhihua Xiong
Dr Jie Zhang
Trajectory Tracking of Batch Processes with Varying Control Interval and Incrementally Updated Models2004
Dr Zhihua Xiong
Dr Jie Zhang
Batch-to-Batch Model-based Iterative Optimisation Control for a Batch Polymerisation Reactor2003
Mosbah Ahmed
Dr Jie Zhang
Improved Inferential Feedback Control through Combining Multiple PCR Models2003
Zainal Ahmad
Dr Jie Zhang
Improving Data based Nonlinear Process Modelling through Bayesian Combination of Multiple Neural Networks2003
Dr Jie Zhang
Inferential Estimation of Polymer Melt Index Using Bootstrap Aggregated Neural Networks with Sequential Training2003
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 structures2003
Dr Jie Zhang
Multi-Objective Optimal Control of Batch Processes Using Recurrent Neuro-fuzzy Networks2003
Dr Jie Zhang
Rudy Agustriyanto
Multivariable Inferential Feed Forward Control2003
Dr Jie Zhang
Multivariable Inferential Feedback Control of Distillation Compositions Using Dynamic Principal Component Regression Models2003
Dr Jie Zhang
Neural Network Model Based Batch-to-Batch Optimal Control2003
Dr Jie Zhang
Neural Network Model based Batch-to-Batch Optimal Control2003
Dr Zhihua Xiong
Dr Jie Zhang
Product Quality Trajectory Tracking in Batch Processes Using Iterative Learning Control Based on Time-Varying Perturbation Models2003
Dr Jie Zhang
Reliable Optimal Control of a Batch Polymerisation Reactor Based on Neural Network Model with Model Prediction Confidence Bounds2003
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 Analysis2003
Zainal Ahmad
Dr Jie Zhang
Selective Combination of Multiple Neural Networks for Improving Long Range Prediction in Nonlinear Process Modelling through Correlation Coefficient Analysis2003
Zainal Ahmad
Dr Jie Zhang
A comparison of different methods for combining multiple neural networks models2002
Professor Jun Jiang
Dr Jie Zhang
A Steady State Model for Propylene Polymerization in an Industrial Loop Reactor and Its Application in Melt Index Predication2002
Dr Jie Zhang
A training method for enhancing neural network model generalisation2002
Dr Shouwen Fan
Dr Jie Zhang
Dynamic Modelling of an Industrial Polypropylene Reactor and Its Application in Melt Index Prediction During Grade Transitions2002
Dr Jie Zhang
Improved on-line process fault diagnosis using stacked neural networks2002
Zainal Ahmad
Dr Jie Zhang
Improving long range prediction for nonlinear process modelling through combining multiple neural networks2002
Zhang Zhang
Dr Jie Zhang
Industrial Application of Non-equilibrium Model: Simulation and Analysis of Ethylene Fractionator2002
Dr Zhihua Xiong
Dr Jie Zhang
Modeling and optimal control of fed-batch processes using control affine feedforward neural networks2002
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 Systems2002
Dr Jie Zhang
Neural Networks based Model Predictive Control of an Industrial Polypropylene Process2002
Dr Jie Zhang
Emeritus Professor Julian Morris
Non-linear chemical process modelling and application in epichlorhydrine production plant using wavelet networks2002
Dr Jie Zhang
Optimal control of a batch emulsion copolymerisation reactor based on recurrent neural network models2002
Dr Jie Zhang
Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model2002
Dr Zhihua Xiong
Dr Jie Zhang
Optimal control of batch processes incorporating model prediction confidence bounds based on multiple neural networks2002
Dr Jie Zhang
Optimal Energy Cost in Ideal Internal Thermally Coupled Distillation Columns2002
Dr Jie Zhang
Sequential training of bootstrap aggregated neural networks for nonlinear systems modelling2002
Dr Jie Zhang
A nonlinear gain scheduling control strategy based on neuro-fuzzy networks2001
Dr Jie Zhang
Developing robust neural network models by using both dynamic and static process operating data2001
Dr Jie Zhang
Emeritus Professor Julian Morris
Inferential Estimation and Optimal Control of a Batch Polymerisation Reactor Using Stacked Neural Networks2001
Dr Jie Zhang
Inferential Feedback Control of Distillation Composition based on PCR and PLS Models2001
Dr Jie Zhang
Rudy Agustriyanto
Inferential Feedforward Control of a Distillation Column2001
Dr Jie Zhang
Modeling and optimal control of a batch polymerization reactor using a hybrid stacked recurrent neural network model2001
Dr Jie Zhang
Nonlinear model predictive control based on multiple local linear models2001
Dr Jie Zhang
Emeritus Professor Julian Morris
On-line Re-optimisation Control of a Batch Polymerisation Reactor based on a Hybrid Recurrent Neural Network Model2001
Dr Jie Zhang
Recurrent Neuro-Fuzzy Networks for the Modelling and Optimal Control of Batch Processes2001
Dr Jie Zhang
Recurrent neuro-fuzzy networks for the modelling and optimal control of batch processes2001
Dr Jie Zhang
Emeritus Professor Julian Morris
Long range predictive control of nonlinear processes based on recurrent neuro-fuzzy network models2000
Dr Jie Zhang
Developing robust non-linear models through bootstrap aggregated neural networks1999
Dr Jie Zhang
Inferential estimation of polymer quality using bootstrap aggregated neural networks1999
Dr Jie Zhang
Emeritus Professor Julian Morris
Recurrent Neuro-Fuzzy Networks for Nonlinear Process Modeling1999