Zhang, Jie - Newcastle University - School of Chemical Engineering and Advanced Materials

研究领域

Advanced Process Control, Neural Networks, Fuzzy Systems, Neuro-fuzzy Systems, Process Modelling, Process Fault Detection and Diagnosis, Process Monitoring, Batch Process Control, Optimisation, Optimal Control of Batch Processes, Genetic Algorithms, Intelligent Control Systems

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Lawal SA, Zhang J. Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns. International Journal of Automation and Computing 2017, (ePub ahead of Print), 1-13. Li F, Zhang J, Oko E, Wang M. Modelling of a Post-combustion CO2 Capture Process Using Extreme Learning Machine. International Journal of Coal Science & Technology 2017. In Press. Al-Kalbani F, Zhang J, Bisgaard T, Huusom JK. Active Disturbance Rejection Control of a Heat Integrated Distillation Column. In: 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR). 2016, Miedzyzdroje, Poland: IEEE. Zhou Z, Yang C, Wen C, Zhang J. Analysis of PCA-based reconstruction method for fault diagnosis. Industrial & Engineering Chemistry Research 2016, 55(27), 7402-7410. Osuolale FN, Zhang J. Energy efficiency optimisation for distillation column using artificial neural network models. Energy 2016, 106, 562-578. Lawal SA, Zhang J. Fault Monitoring and Fault Tolerant Control in Distillation Columns. In: 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR). 2016, Miedzyzdroje, Poland: IEEE. Ahmad Z, Rahim NA, Bahadori A, Zhang J. Improving Water Quality Index Prediction in Perak River Basin Malaysia through the Combination of Multiple Neural Networks. International Journal of River Basin Management 2016, (ePub ahead of Print). Muhsin WAS, Zhang J, Lee J. Modelling and Optimisation of a Crude Oil Hydrotreating Process Using Neural Networks. In: 19th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction PRES 2016. 2016, Prague: Associazione Italiana di Ingegneria Chimica, Italian Association of Chemical Engineering. Li F, Zhang J, Oko E, Wang MH. Modelling of a Post-combustion CO2 Capture Process Using Extreme Learning Machine. In: 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR). 2016, Miedzyzdroje, Poland: IEEE. Liu JX, Liu T, Zhang J. Phase partition for nonlinear batch process monitoring. In: 11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems DYCOPS-CAB 2016. 2016, Trondheim, Norway: Elsevier B.V. Qiu WW, Xiong ZH, Li WZ, Zhang J. Point-to-Point Tracking of Integrated Predictive Iterative Learning Control By Using Updating-Reference and CARIMA Model. In: 2016 Chinese Control and Decision Conference (CCDC). 2016, Yinchuan, China: IEEE. Ahmad Z, Zhang J, Kashiwao T, Bahadori A. Prediction of absorption and stripping factors in natural gas processing industries using feed forward artificial neural network. Petroleum Science and Technology 2016, 34(2), 105-113. Liu J, Liu T, Zhang J. Window-Based Stepwise Sequential Phase Partition for Nonlinear Batch Process Monitoring. Industrial & Engineering Chemistry Research 2016, 55(34), 9229-9243. Al-Kalbani F, Al-Hosni SM, Zhang J. Active Disturbance Rejection Control of a Methanol-Water Separation Distillation Column. In: 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015. 2015, Muscat, Oman: IEEE. Lawal SA, Zhang J. Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns. In: 2015 21st International Conference on Automation and Computing (ICAC). 2015, Glasgow: IEEE. Ali JM, Hussain MA, Tade MO, Zhang J. Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey. Expert Systems With Applications 2015, 42(14), 5915-5931. Osuolale F, Zhang J. Distillation control structure selection for energy efficient operations. Chemical Engineering and Technology 2015, 38(5), 907-916. Al-Kalbani F, Zhang J. Inferential active disturbance rejection control of a distillation column. In: 9th IFAC Symposium on Advanced Control of Chemical Processes, ADCHEM 2015. 2015, Whistler, British Columbia, Canada: Elsevier. Al Kalbani F, Zhang J. Inferential Active Disturbance Rejection Control of a Distillation Column. In: 9th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2015. 2015, Whistler, BC, Canada: Elsevier. Al Kalbani F, Zhang J. Inferential active disturbance rejection control of a distillation column using dynamic principal component regression models. In: 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2015). 2015, Colmar, Alsace, France: SCITEPRESS. Al Kalbani F, Zhang J. Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models. In: 2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO). 2015, Colmar, Alsasce, France: IEEE/ SCITEPRESS. Jung S, Zhang J, Oliveira R. Iterative Learning Control of Polyhydroxybutyrate Production in a Sequencing Batch Reactor. In: 20th International Conference on Methods and Models in Automation and Robotics (MMAR 2015). 2015, Miedzyzdroje, Poland: IEEE. Li F, Zhang J, Oko E, Wang M. Modelling of a Post-combustion CO2 Capture Process Using Neural Networks. Fuel 2015, 151, 156-163. Osuolate FN, Zhang J. Multi-objective Optimisation of Atmospheric Crude Distillation System Operations Based on Bootstrap Aggregated Neural Network Models. In: 12th International Symposium on Process Systems Engineering and the 25th European Symposium on Computer Aided Process Engineering. 2015, Copenhagen, Denmark: Elsevier. Oko E, Wang M, Zhang J. Neural Network Approach for Predicting Drum Pressure and Level in Coal-fired Subcritical Power Plant. Fuel 2015, 151, 139-145.