Publications by Dr Jie Zhang - ePrints

Browsing publications by Dr Jie Zhang.

Newcastle Authors	Title	Year
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 CO₂ 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 CO₂ 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 CO₂ 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 CO₂ 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