Jie Zhang

Affiliations:
  • University of Newcastle, UK


According to our database1, Jie Zhang authored at least 67 papers between 1988 and 2021.

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

Timeline

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PhD thesis 
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Online presence:

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Bibliography

2021
Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search.
Neural Comput. Appl., 2021

A Novel Sensor-Based Human Activity Recognition Method Based on Hybrid Feature Selection and Combinational Optimization.
IEEE Access, 2021

2020
Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques.
Sensors, 2020

Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization.
Sensors, 2020

Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks.
Int. J. Autom. Comput., 2020

Nonlinear process modelling using echo state networks optimised by covariance matrix adaption evolutionary strategy.
Comput. Chem. Eng., 2020

2019
Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition.
Sensors, 2019

Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search.
Appl. Soft Comput., 2019

An improved reinforcement learning control strategy for batch processes.
Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019

Optimization control of a fed-batch process using an improved reinforcement learning algorithm.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

2018
Point-to-Point Iterative Learning Control with Piecewise Constant Inputs.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy.
Proceedings of the 24th International Conference on Automation and Computing, 2018

2017
Actuator fault monitoring and fault tolerant control in distillation columns.
Int. J. Autom. Comput., 2017

Thermodynamic optimization of atmospheric distillation unit.
Comput. Chem. Eng., 2017

2016
Modelling of a post-combustion CO2 capture process using extreme learning machine.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016

Fault monitoring and fault tolerant control in distillation columns.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016

Active disturbance rejection control of a heat integrated distillation column.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016

Inferential disturbance observer based control of a binary distillation column.
Proceedings of the IECON 2016, 2016

Inferential active disturbance rejection control of a heat integrated distillation column.
Proceedings of the 14th International Conference on Control, 2016

Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory.
Proceedings of the 2016 American Control Conference, 2016

2015
Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey.
Expert Syst. Appl., 2015

Iterative learning control of polyhydroxybutyrate production in a sequencing batch reactor.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

Actuator fault monitoring and fault tolerant control in distillation columns.
Proceedings of the 21st International Conference on Automation and Computing, 2015

2013
Reliable optimisation control of a reactive polymer composite moulding process using ant colony optimisation and bootstrap aggregated neural networks.
Neural Comput. Appl., 2013

Reliable modeling of chemical duarability of high level waste glass using bootstrap aggregated neural networks.
Proceedings of the Ninth International Conference on Natural Computation, 2013

2012
Nonlinear Process Modelling and Control Using Neurofuzzy Networks.
Proceedings of the Handbook of Natural Computing, 2012

Fault detection in dynamic processes using a simplified monitoring-specific CVA state space modelling approach.
Comput. Chem. Eng., 2012

2011
Reliable Modelling and Optimisation Control of Reactive Polymer Composite Moulding Processes using Bootstrap Aggregated Neural Network Models.
Proceedings of the NCTA 2011, 2011

Modelling Vitrified Glass Viscosity in a Nuclear Fuel Reprocessing Plant using Neural Networks.
Proceedings of the NCTA 2011, 2011

2010
Neural network based iterative learning control for product qualities in batch processes.
Int. J. Model. Identif. Control., 2010

On-line multivariate statistical monitoring of batch processes using Gaussian mixture model.
Comput. Chem. Eng., 2010

2009
Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination.
Neurocomputing, 2009

Control structure selection for the ALSTOM gasifier benchmark process using GRDG analysis.
Int. J. Model. Identif. Control., 2009

Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model.
Sci. China Ser. F Inf. Sci., 2009

Optimal control of batch processes using particle swam optimisation with stacked neural network models.
Comput. Chem. Eng., 2009

2008
Batch-to-batch control of fed-batch processes using control-affine feedforward neural network.
Neural Comput. Appl., 2008

Batch to batch iterative learning control of a fed-batch fermentation process using linearised models.
Proceedings of the 10th International Conference on Control, 2008

Iterative learning control with reference batch for linear time-variant systems.
Proceedings of the 10th International Conference on Control, 2008

2007
Obtaining the Worst Case RGA and RDGA for Uncertain Systems via Optimization.
Proceedings of the American Control Conference, 2007

Improved Bleach Plant Control Using Internal Model Control with Smith Predictor.
Proceedings of the IEEE International Conference on Control Applications, 2007

2006
Improved on-line process fault diagnosis through information fusion in multiple neural networks.
Comput. Chem. Eng., 2006

Hierarchical Neural Network Based Product Quality Prediction of Industrial Ethylene Pyrolysis Process.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Nonlinear Model Predictive Control Strategy Using Multiple Neural Network Models.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
Modeling and Optimal Control of Batch Processes Using Recurrent Neuro-Fuzzy Networks.
IEEE Trans. Fuzzy Syst., 2005

Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling.
Neural Comput. Appl., 2005

Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling.
Comput. Chem. Eng., 2005

Optimal Control of Fed-Batch Processes Based on Multiple Neural Networks.
Appl. Intell., 2005

Neural Network Based On-Line Shrinking Horizon Re-optimization of Fed-Batch Processes.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Batch-to-Batch Optimal Control Based on Support Vector Regression Model.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004
Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network.
Neurocomputing, 2004

Recurrent neural network model based batch-to-batch iterative optimising control.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

A Novel Nonlinear Projection to Latent Structures Algorithm.
Proceedings of the Advances in Neural Networks, 2004

Run-to-Run Iterative Optimization Control of Batch Processes.
Proceedings of the Advances in Neural Networks, 2004

A Neural Network Modeling Method for Batch Process.
Proceedings of the Advances in Neural Networks, 2004

Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace.
Proceedings of the 8th International Conference on Control, 2004

2002
Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model.
Neurocomputing, 2002

2001
Actuator fault diagnosis in a continuous stirred tank reactor using identification techniques.
Proceedings of the 6th European Control Conference, 2001

2000
Long Range Predictive Control of Nonlinear Processes Based on Recurrent Neuro-Fuzzy Network Models.
Neural Comput. Appl., 2000

1999
Recurrent neuro-fuzzy networks for nonlinear process modeling.
IEEE Trans. Neural Networks, 1999

Inferential estimation of polymer quality using bootstrap aggregated neural networks.
Neural Networks, 1999

Developing robust non-linear models through bootstrap aggregated neural networks.
Neurocomputing, 1999

1998
A Sequential Learning Approach for Single Hidden Layer Neural Networks.
Neural Networks, 1998

1996
Process modelling and fault diagnosis using fuzzy neural networks.
Fuzzy Sets Syst., 1996

1994
Fault Diagnosis of a CSTR using fuzzy Neural Networks.
Proceedings of the Postprint Volume from the IFAC Symposium on Artificial Intelligence in Real-Time Control, 1994

1992
Use of genetic algorithms in training diagnostic rules for process fault diagnosis.
Knowl. Based Syst., 1992

1990
Fault diagnosis of a mixing process using deep qualitative knowledge representation of physical behaviour.
J. Intell. Robotic Syst., 1990

1988
An application of expert systems techniques to the on-line control and fault diagnosis of a mixing process.
J. Intell. Robotic Syst., 1988


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