Jie Zhang

发表

Optimization study on the CO2 and H2S removal in natural gas using primary, secondary, tertiary and mixed amine

A. Bahadori, Z. Ahmad, N. A. Kadir, 2019 .

Developing robust non-linear models through bootstrap aggregated neural networks

Jie Zhang, Jie Zhang, 1999, Neurocomputing.

Multivariate Process Monitoring Using Classical Multidimensional Scaling and Procrustes Analysis

Jie Zhang, Jie Zhang, M. Yunus, 2010 .

Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant

Jie Zhang, Meihong Wang, Eni Oko, 2015, Fuel.

A batch-to-batch iterative optimal control strategy based on recurrent neural network models

Jie Zhang, Zhihua Xiong, Z. Xiong, 2005 .

Integrated predictive iterative learning control based on updating reference trajectory for point-to-point tracking

Zhihua Xiong, Weiwei Qiu, Wanzhou Li, 2020 .

Point-to-Point Iterative Learning Control with Piecewise Constant Inputs

Zhihua Xiong, Jie Zhang, Xiangfeng Shen, 2018, 2018 24th International Conference on Automation and Computing (ICAC).

Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory

Zhihua Xiong, Jie Zhang, Chen Chen, 2016, 2016 American Control Conference (ACC).

Batch-to-batch optimal control of a batch polymerisation process based on stacked neural network models

Jie Zhang, Jie Zhang, 2008 .

Progressive multi-block modelling for enhanced fault isolation in batch processes

Julian Morris, Jie Zhang, Jeong Jin Hong, 2014 .

Fault Localization in Batch Processes through Progressive Principal Component Analysis Modeling

Jie Zhang, Julian Morris, Julian Morris, 2011 .

Thermodynamic optimization of atmospheric distillation unit

Jie Zhang, Funmilayo N. Osuolale, F. Osuolale, 2017, Comput. Chem. Eng..

Integrated Tracking Control of Batch Processes with Model Uncertainties by Updating a Linear Perturbation Model

Jie Zhang, Zhihua Xiong, Changrui Ren, 2011 .

Integrated Tracking Control for Batch Processes in the Presence of Model Uncertainties

Zhihua Xiong, Jie Zhang, Z. Xiong, 2007, 2007 IEEE International Conference on Control and Automation.

Process monitoring using non-linear statistical techniques

Jie Zhang, A. J. Morris, Elaine B. Martin, 1997 .

A Sequential Learning Approach for Single Hidden Layer Neural Networks

Jie Zhang, Julian Morris, Julian Morris, 1998, Neural Networks.

Reliable Multi-Objective On-Line Re-Optimisation Control of Batch Processes Based on Bootstrap Aggre

Jie Zhang, Ankur Mukherjee, Jie Zhang, 2008 .

Performance monitoring of processes with multiple operating modes through multiple PLS models

Jie Zhang, Shi Jian Zhao, Yong Mao Xu, 2006 .

Nonlinear model predictive control based on multiple local linear models

Jie Zhang, Julian Morris, Julian Morris, 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

Recurrent neuro-fuzzy networks for nonlinear process modeling

Jie Zhang, Julian Morris, Julian Morris, 1999, IEEE Trans. Neural Networks.

Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey

Jie Zhang, Moses O. Tadé, J. M. Ali, 2015, Expert Syst. Appl..

Nonlinear projection to latent structures method and its applications

Jie Zhang, Zhihua Xiong, Shi Jian Zhao, 2006 .

Improving water quality index prediction in Perak River basin Malaysia through a combination of multiple neural networks

Zainal Arifin Ahmad, Alireza Bahadori, Jie Zhang, 2017 .

A neural network-based strategy for the integrated batch-to-batch control and within-batch control of batch processes

Jie Zhang, Jie Zhang, 2005 .

Batch-to-Batch Optimal Control Based on Support Vector Regression Model

Yi Liu, Zhihua Xiong, Jie Zhang, 2005, ISNN.

A Revised State Space Modelling Approach and Improved Fault Detection Using Combined Index Monitoring for Dynamic Processes

Jie Zhang, Julian Morris, Shallon Stubbs, 2010 .

Economic Assessment of a Crude Oil Hydrotreating Process

Jie Zhang, W. Muhsin, Jie Zhang, 2019 .

A Reliable Neural Network Model Based Optimal Control Strategy for a Batch Polymerization Reactor

Jie Zhang, Jie Zhang, 2004 .

BioProcess performance monitoring using multiway interval partial least squares

Jie Zhang, Julian Morris, Shallon Stubbs, 2018 .

Product Quality Trajectory Tracking in Batch Processes Using Iterative Learning Control Based on Time-Varying Perturbation Models

Jie Zhang, Z. Xiong, Jie Zhang, 2003 .

Computers and Chemical Engineering

Jie Zhang, Fernando Herrera, Jie Zhang, 2009 .

Distillation Control Structure Selection for Energy‐Efficient Operations

Jie Zhang, Funmilayo N. Osuolale, F. N. Osuolale, 2015 .

Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search

Jie Zhang, Yichuan Fu, Qiangda Yang, 2020, Neural Computing and Applications.

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

Dexian Huang, Chao Shang, Meihong Wang, 2018 .

Modelling of a post-combustion CO2 capture process using neural networks

Jie Zhang, Meihong Wang, Fei Li, 2015 .

Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks

Jie Zhang, Chang-Hao Zhu, Changhao Zhu, 2020, Int. J. Autom. Comput..

Modelling and Optimisation of a Crude Oil Hydrotreating Process Using Neural Networks

Jie Zhang, Jinyi Lee, Wissam Muhsin, 2016 .

Modelling of a post-combustion CO2 capture process using extreme learning machine

Meihong Wang, Jie Zhang, Fei Li, 2016, 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR).

Modelling and Optimal Operation of a Crude Oil Hydrotreating Process with Atmospheric Distillation Unit Utilising Stacked Neural Networks

Jie Zhang, Wissam Muhsin, W. Muhsin, 2017 .

Multi-objective Optimisation of Atmospheric Crude Distillation System Operations Based on Bootstrap Aggregated Neural Network Models

Jie Zhang, Funmilayo N. Osuolale, F. N. Osuolale, 2015 .

Batch to batch iterative learning control of a fed-batch fermentation process using linearised models

Jie Zhang, Zhihua Xiong, Delautre Guillaume, 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

Nonlinear Process Modelling and Control Using Neurofuzzy Networks

Jie Zhang, Jie Zhang, 2012, Handbook of Natural Computing.

Confidence bounds for neural network representations

A. J. Morris, Jie Zhang, Elaine B. Martin, 1997 .

Neural network based on-line re-optimisation of fed-batch processes using iterative dynamic programm

Jie Zhang, Zhihua Xiong, Z. Xiong, 2002 .

BATCH-TO-BATCH OPTIMAL CONTROL OF BATCH PROCESSES BASED ON RECURSIVELY UPDATED NONLINEAR PARTIAL LEAST SQUARES MODELS

Jie Zhang, Guizeng Wang, Chunfu Li, 2007 .

Optimal control of a batch emulsion copolymerisation reactor based on recurrent neural network models

Yuan Tian, Julian Morris, Jie Zhang, 2002 .

Long-term prediction models based on mixed order locally recurrent neural networks

Jie Zhang, A. J. Morris, Elaine B. Martin, 1998 .

Prediction of polymer quality in batch polymerisation reactors using robust neural networks

Jie Zhang, A. J. Morris, Costas Kiparissides, 1998 .

Inferential Estimation of Polymer Quality Using Stacked Neural Networks

C. Kiparissides, E. Martin, A. Morris, 1997 .

Multivariable Inferential Feed-Forward Control

Jie Zhang, Rudy Agustriyanto, R. Agustriyanto, 2003 .

Newcastle University Eprints Fault Detection in Dynamic Processes Using a Simplified Monitoring-specific Cva State Space Modelling Approach. This Work Is Licensed under a Creative Commons Attribution-noncommercial 3.0 Unported License Fault Detection in Dynamic Processes Using a Simplified Monitorin

Julian Morris, Jie Zhang, S. Stubbs, 2012 .

Developing Robust Neural Network Models by Using Both Dynamic and Static Process Operating Data

Jie Zhang, Jie Zhang, 2001 .

Combining first principles with black-box techniques for reaction systems

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

Batch-to-batch model-based iterative optimisation control for a batch polymerisation reactor

Zhihua Xiong, Jie Zhang, Z. Xiong, 2003, Proceedings of the 2003 American Control Conference, 2003..

Tracking Control for Batch Processes through Integrating Batch-to-Batch Iterative Learning Control and within-Batch On-Line Control

Jie Zhang, Zhihua Xiong, Xiong Wang, 2005 .

Offset‐Free Inferential Feedback Control of Distillation Compositions Based on PCR and PLS Models

Jie Zhang, Jie Zhang, 2006 .

Reliable optimisation control of a reactive polymer composite moulding process using ant colony optimisation and bootstrap aggregated neural networks

Kazim-Junior Rod Mohammed, Jie Zhang, 2013, Neural Computing and Applications.

Inferential Estimation of Polymer Melt Index Using Sequentially Trained Bootstrap Aggregated Neural Networks

Jie Zhang, Qibing Jin, Yongmao Xu, 2006 .

Optimal Control of Fed-Batch Processes Based on Multiple Neural Networks

Zhihua Xiong, Jie Zhang, Z. Xiong, 2005, Applied Intelligence.

Modelling and Control of Reactive Polymer Composite Moulding Using Bootstrap Aggregated Neural Network Models

N. Pantelelis, Jie Zhang, 2011 .

Multiple neural networks modeling techniques in process control: a review

Jie Zhang, Rabiatul Adawiah Mat Noor, Zainal Ahmad, 2009 .

Modeling and optimal control of batch processes using recurrent neuro-fuzzy networks

Jie Zhang, Jie Zhang, 2005, IEEE Transactions on Fuzzy Systems.

Nonlinear process modelling using echo state networks optimised by covariance matrix adaption evolutionary strategy

Kai Liu, Jie Zhang, Kai Liu, 2020, Comput. Chem. Eng..

Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy

Kai Liu, Jie Zhang, Kai Liu, 2018, 2018 24th International Conference on Automation and Computing (ICAC).

Modelling a Penicillin Fermentation Process Using Attention-Based Echo State Networks Optimized by Covariance Matrix Adaption Evolutionary Strategy

K Liu, J Zhang, Kai Liu, 2020 .

Inferential active disturbance rejection control of a distillation column using dynamic principal component regression models

Jie Zhang, Fahad Al Kalbani, Jie Zhang, 2015, 2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO).

Control structure selection for the ALSTOM gasifier benchmark process using GRDG analysis

Jie Zhang, Rudy Agustriyanto, R. Agustriyanto, 2009, Int. J. Model. Identif. Control..

Inferential estimation of polymer quality using bootstrap aggregated neural networks

Jie Zhang, Jie Zhang, 1999, Neural Networks.

Nonlinear wave modeling and dynamic analysis of internal thermally coupled distillation columns

Lin Cong, Xinggao Liu, Jie Zhang, 2012 .

Multiscale Multiblock Batch Monitoring: Sensor and Process Drift and Degradation

Jie Zhang, Julian Morris, Julian Morris, 2015 .

On-line multivariate statistical monitoring of batch processes using Gaussian mixture model

Tao Chen, Jie Zhang, Tao Chen, 2010, Comput. Chem. Eng..

Modeling and Optimal Control of Batch Processes Using Recurrent Neuro-Fuzzy Networks

Jie Zhang, Jie Zhang, 2005, IEEE Trans. Fuzzy Syst..

Fuzzy neural networks for nonlinear systems modelling

A. Morris, Jie Zhang, Jie Zhang, 1995 .

Modelling and multi-objective optimal control of batch processes using recurrent neuro-fuzzy networks

Jie Zhang, Jie Zhang, 2006, Int. J. Autom. Comput..

Process performance monitoring using multivariate statistical process control

Jie Zhang, A. J. Morris, E. B. Martin, 1996 .

A reliable multi-objective control strategy for batch processes based on bootstrap aggregated neural network models

Jie Zhang, Ankur Mukherjee, Jie Zhang, 2008 .

A recursive nonlinear PLS algorithm for adaptive nonlinear process modeling

Jie Zhang, Hao Ye, Guizeng Wang, 2005 .

Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model

Yuan Tian, Jie Zhang, Julian Morris, 2002, Neurocomputing.

Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination

Jie Zhang, Zainal Ahmad, Z. Ahmad, 2009, Neurocomputing.

A Nonlinear Model Predictive Control Strategy Using Multiple Neural Network Models

Jie Zhang, Zainal Ahmad, Z. Ahmad, 2006, ISNN.

Neural Network Based Estimators for a Batch Polymerization Reactor

A. J. Morris, Jie Zhang, Costas Kiparissides, 1995 .

Energy efficiency optimisation for distillation column using artificial neural network models

Jie Zhang, Funmilayo N. Osuolale, F. Osuolale, 2016 .