Newcastle University

Memberships

Senior Member, IEEE

Research Interests

nonlinear process modelling; computational intelligence; neural networks; batch process modelling, control and optimisation; process condition monitoring and fault detection; inferential estimation and soft sensors; iterative learning control; model based batch to batch control

Research themes:

Postgraduate Supervision

Process control
Batch process modelling, control and optimisation
Nonlinear process modelling
Process condition Monitoring and fault detection
Computational intelligence; neural networks
Inferential estimation and soft sensors
Iterative learning control

Esteem Indicators

Editorial Board member (Associate Editor) for the journal Neurocomputing published by Elsevier Science
Editorial Board member for the journal Control Engineering of China
Organising Committee for the IFAC International Symposium on Advanced Control of Chemical Processes, 11-14 January 2004, Hong Kong. (www.ust.hk/adchem2003/)
International Programme Committee for the Third International Symposium on Neural Networks, May 29-31, 2006, Chengdu, China. (www.acae.cuhk.edu.hk/~isnn2006/)
invited speaker at the Workshop on Corrosion Modeling to Enable Corrosion Informed Material Selection to Life Prediction, July 28-31, 2006, Hotel Regina Olga, Cernobbio, Lake Como, Italy. (users.unimi.it/trasatti/CMLP/CMLP2006.html)
International Advisory Board for the conference Control of Particulate Processes VII, Intelligent Sensing and Control – the Path to Manufacturing Excellence, October 29 – November 2, 2006, Harrison Hot Springs, BC, Canada. (www.engconfintl.org/6avbody.html)
invited speaker at the Mastering the Science of Process Validation Symposium, November 29 – December 1, 2006, Dublin, Ireland. (http:// www.ivtconferences.com/pdf/pv1106_dublin.pdf)
International Programme Committee for the 2007 IEEE International Conference on Networking, Sensing and Control, London, United Kingdom, April 15-17, 2007. (www.ieee-icnsc07.org/)
International Programme Committee for the Fourth International Symposium on Neural Networks, June 3-7, 2007, Nanjing, China. (liu.ece.uic.edu/ISNN07/)
International Programme Committee for the Fifth International Symposium on Neural Networks, September 24-28, 2008, Beijing, China. (www2.mae.cuhk.edu.hk/~isnn2008/)
Technical Committee for the 2008 World Congress on Computational Intelligence, June 24-28, 2008, Hong Kong, China. (www.wcci2008.org)
Programme Committee for the 2008 UK Workshop on Computational Intelligence, De Montfort University, Leicester, UK, September 10-12, 2008. (www.cci.dmu.ac.uk/ukci2008/)
International Programme Committee for the Sixth International Symposium on Neural Networks, May 26-29, 2009, Wuhan, China. (www2.mae.cuhk.edu.hk/~isnn2009/)
Served as a reviewer for over 300 times for over 50 international journals, books, and conferences.
Assessor for Hong Kong Research Grants Council grant applications.

Funding

EPSRC Grant (GR/N13319), “Nonlinear Optimising Control in Agile Batch Manufacturing”, GBP137,147, 17 October 2000 – 16 October 2003, Sole Investigator, EPSRC Overall Assessment: Tending to Outstanding.
EPSRC Grant (GR/R10875), “Intelligent Computer Integrated Batch Manufacturing”, GBP27,714, 30 April 2001 – 29 September 2004, Sole Investigator, EPSRC Overall Assessment: Tending to Outstanding.
EPSRC Grant (GR/S90461), “UK-China Network on Intelligent Automation, Computing and Manufacturing”, GBP63,784, 1 September 2004 – 31 August 2007, Co-Investigator.
Teaching Company Directorate (TCS Programmes 2777), “Blast Furnace Application of Neural Networks”, GBP387,986, 27 September 1999 – 12 May 2004, Co-Investigator
Associated Octel Company Limited, “Multivarate statistical techniques to the control of the Lilestralis Process”, 22 May – 21 October 2006, GBP5000, Co-Investigator.
European Commission, “Bioproduction”, 1 September 2006 – 31 August 2010, GBP187,552, Co-Investigator
UK Department for Innovation, Universities & Skills, 2007/8 UK/China Fellowship for Excellence, 1 March – 30 September 2008, GBP8400.
BP International Ltd, Dorothy Hodgkin Postgraduate Award, 1 November 2007 – 31 October 2010, GBP88,752, Co-Investigator (50%).

Industrial Relevance

Consultancy

Specialist Expertise
Data based industrial process modelling.
Process performance monitoring.
Inferential estimation and soft sensors.
Design and tuning process control systems.
Multivariate statistical process control.

Projects

• European IP Project Sustainable Microbial and Biocatalytic Production of Advanced Functional Materials (Bioproduction)
  Project Leader(s): Prof Julian Morris

Undergraduate Teaching

Particle Technology
Process Design

Postgraduate Teaching

Data Analysis and Reconciliation for Control
Process Data Modelling
Time Series and Systems Identification
Process Control
Introduction to Mathematics and Statistics

• Stubbs S, Zhang J, Morris AJ. Multiway Interval Partial Least Squares for Batch Process Performance Monitoring. Ind. Eng. Chem. Res 2013, (epub ahead of print).
• Zhang J, Xiong ZH, Guillaume D, Lamande A. Batch to Batch Iterative Learning Control of a Fed-Batch Fermentation Process. In: Mechanical Engineering and Technology. 2012, London: Springer.
• Zhou C, Liu QY, Huang DX, Zhang J. Inferential estimation of kerosene dry point in refineries with varying crudes. Journal of Process Control 2012, 22(6), 1122-1126.
• Liu XG, Zhou YX, Cong L, Zhang J. Nonlinear wave modeling and dynamic analysis of internal thermally coupled distillation columns. AI Ch E Journal 2012, 58(4), 1146-1156.
• He B, Yang XH, Chen T, Zhang J. Reconstruction-based multivariate contribution analysis for fault isolation: A branch and bound approach. Journal of Process Control 2012, 22(7), 1228-1236.
• Hong JJ, Zhang J, Morris J. Fault Localization in Batch Processes through Progressive Principal Component Analysis Modeling. Industrial & Engineering Chemistry Research 2011, 50(13), 8153-8162.
• Zhang J, Pantelelis NG. Iterative learning control of a reactive polymer composite moulding process using batch-wise updated linearised models. In: 21st European Symposium on Computer Aided Process Engineering. 2011, Chalkidiki, Greece: Elsevier BV.
• Zhang J, Feng YT, Al-Mahrouqi MH. Reliable optimal control of a fed-batch fermentation process using ant colony optimisation and bootstrap aggregated neural network models. In: 21st European Symposium on Computer Aided Process Engineering. 2011, Chalkidiki, Greece: Elsevier BV.
• Stubbs S, Zhang J, Morris J. A Revised State Space Modelling Approach and Improved Fault Detection Using Combined Index Monitoring for Dynamic Processes. In: 9th International Symposium on Dynamics and Control of Process Systems - DYCOPS. 2010, Leuven, Belgium.
• Lingeson J, Zhang J, Hussain A, Morris AJ. Batch-to-Batch Iterative Learning Control of a Fed-batch Fermentation Process Using Incrementally Updated Models. In: Proceedings of the IFAC Symposium on Computer Applications in Biotechnology (CAB 2010). 2010, Leuven, Belgium: International Federation of Automatic Control.
• Al-Mawali S, Zhang J. Compressor surge control using a variable area throttle and fuzzy logic control. Transactions of the Institute of Measurement and Control 2010, 32(4), 347-375.
• Xiong Z, Xu Y, Dong J, Zhang J. Neural Network Based Iterative Learning Control for Product Qualities in Batch Processes. International Journal of Modelling, Identification and Control 2010, 11(1-2), 107-114.
• Hong JJ, Zhang J. Progressive PCA Modeling for Enhanced Fault Diagnosis in a Batch Process. In: International Conference on Control, Automation and Systems (ICCAS). 2010, Gyeonggi do, South Korea: IEEE.
• Agustriyanto R, Zhang J. Control Structure Selection for the ALSTOM Gasifier Benchmark Process Using GRDG Analysis. International Journal of Modelling, Identification and Control 2009, 6(2), 126-135.
• Hong JJ, Zhang J, Morris J. Enhanced Predictive Modeling Using Multi Block Methods. In: 19th European Symposium on Computer Aided Process Engineering. 2009, Cracow, Poland: Elsevier BV.
• Stubbs S, Zhang J, Morris J. Fault detection of dynamic processes using a simplified monitoring-specific CVA state space approach. In: 19th European Symposium on Computer Aided Process Engineering. 2009, Cracow, Poland: Elsevier BV.
• Zhang J, Nguyan J, Morris J. Iterative learning control of a crystallisation process using batch wise updated linearised models identified using PLS. In: Computer Aided Chemical Engineering: 19th European Symposium on Computer Aided Process Engineering. 2009, Cracow, Poland: Springer.
• Ahmad Z, Noor RAM, Zhang J. Multiple neural networks modeling techniques in process control: a review. Asia-Pacific Journal of Chemical Engineering 2009, 4(4), 403-419.
• Morris AJ, Zhang J. Performance Monitoring and Batch to Batch Control of Biotechnological Processes. In: Nicoletti, M.C., Jain, L.C, ed. Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control. Berlin; New York: Springer-Verlag, 2009, pp.281-310.
• Ahmad Z, Zhang J. Selective Combination of Multiple Neural Networks for Improving Model Prediction in Nonlinear Systems Modelling through Forward Selection and Backward Elimination. Neurocomputing 2009, 72(4-6), 1198-1204.
• Mukherjee A, Zhang J. A reliable multi-objective control strategy for batch processes based on bootstrap aggregated neural network models. Journal of Process Control 2008, 18(7-8), 720-734.
• Zhang J, Nguyan J, Morris J, Xiong ZH. Batch to Batch Iterative Learning Control of A Fed-batch Fermentation Process Using Linearised Models. In: 10th International Conference on Control Automation Robotics & Vision (Icarcv 2008). 2008, Hanoi, Vietnam: IEEE.
• Xiong Z, Xu Y, Zhang J, Dong J. Batch-to-batch control of fed-batch processes using control-affine feedforward neural network. In: Neural Computing and Applications: 4th International Symposium on Neural Networks. 2008, Nanjing, China: Springer.
• Zhang J. Batch-to-batch optimal control of a batch polymerisation process based on stacked neural network models. Chemical Engineering Science 2008, 63(5), 1273-1281.
• Xiong Z, Zhang J. Integrated tracking control for batch processes in the presence of model uncertainties. In: 2007 IEEE International Conference on Control and Automation, ICCA. 2008, Singapore: IEEE Control Systems Society.
• Zhang J, Nguyen J, Xiong Z. Iterative Learning Control of Batch Processes based on Time Varying Perturbation Models. Journal of Tsinghua University 2008, 48(S2), 1771-1774.
• Geng H, Xiong Z, Xu Y, Zhang J. Iterative Learning Control with Reference Batch for Linear Time-Variant Systems. In: Tenth International Conference on Control, Automation, Robotics and Vision (ICARCV). 2008, Hanoi, Vietnam: IEEE.
• Herrera F, Zhang J. Optimal control of batch processes using particle swam optimisation with stacked neural network models. Computer Aided Chemical Engineering 2008, 25, 375-380.
• Herrera F, Zhang J. Optimal Control of Batch Processes Using Particle Swam Optimisation with Stacked Neural Network Models. In: Computers & Chemical Engineering: 18th European Symposium on Computer Aided Process Engineering (ESCAPE). 2008, Lyon, France: Pergamon.
• Xiong Z, Zhang J, Dong J. Optimal Iterative Learning Control for Batch Processes Based on Linear Time-varying Perturbation Model. Chinese Journal of Chemical Engineering 2008, 16(2), 235-240.
• Mukherjee A, Zhang J. Reliable Multi-Objective On-line Re-Optimisation Control of Batch Processes Based on Bootstrap Aggregated Neural Networks. In: 17th IFAC World Congress. 2008, COEX, South Korea: IFAC.
• Al-Mahrouqi M, Zhang J. Reliable Optimal Control of a Fed-Batch Bio-Reactor Using Ant Colony Optimization and Bootstrap Aggregated Neural Networks. In: 17th IFAC World Congress. 2008, COEX, South Korea: IFAC.
• Li C, Zhang J, Wang G. Batch-to-batch Optimal control of batch processes based on recursively updated nonlinear partial least squares models. Chemical Engineering Communications 2007, 194(3), 261-279.
• Antelo FS, Zhang J. Improved bleach plant control using internal model control with smith predictor. In: IEEE International Conference on Control Applications. 2007, Singapore: IEEE.
• Xiong ZH, Zhang J, Wang X, Xu YM. Integrated tracking control strategy for batch processes using a batch-wise linear time-varying perturbation model. IET Control Theory and Applications 2007, 1(1), 179-188.
• Agustriyanto R, Zhang J. Obtaining the worst case RGA and RDGA for uncertain systems via optimization. In: Proceedings of the American Control Conference. 2007, IEEE Press Books.
• Al-Mawali S, Zhang J. A Fuzzy Approach to Active Surge Control of Centrifugal Compressors. In: Proceedings of the International Conference Control 2006. 2006, Glasgow, Scotland: University of Strathclyde Publishing.
• Ahmad Z, Zhang J. A nonlinear model predictive control strategy using multiple neural network models. In: Advances in Neural Networks - ISNN 2006. 2006, Chengdu, China: Springer.
• Agustriyanto R, Zhang J. Control Structure Selection for the Alstom Gasifier Benchmark Process Using GRDG Analysis. In: Proceedings of the International Conference Control 2006. 2006, Glasgow, Scotland.
• Zhou Q, Xiong Z, Zhang J, Xu Y. Hierarchical neural network based product quality prediction of industrial ethylene pyrolysis process. In: Advances in Neural Networks (ISNN): Third International Symposium on Neural Networks. 2006, Chengdu, China: Springer Berlin / Heidelberg.
• Zhang J. Improved on-line process fault diagnosis through information fusion in multiple neural networks. Computers and Chemical Engineering 2006, 30(3), 558-571.
• Zhang J, Jin Q, Xu Y. Inferential estimation of polymer melt index using sequentially trained bootstrap aggregated neutral networks. Chemical Engineering and Technology 2006, 29(4), 442-448.
• Zhao SJ, Zhang J, Xu YM, Xiong ZH. Nonlinear projection to latent structures method and its applications. Industrial and Engineering Chemistry Research 2006, 45(11), 3843-3852.
• Zhang J. Offset-free inferential feedback control of distillation compositions based on PCR and PLS models. Chemical Engineering and Technology 2006, 29(5), 560-566.
• Zhao SJ, Zhang J, Xu YM. Performance monitoring of processes with multiple operating modes through multiple PLS models. Journal of Process Control 2006, 16(7), 763-772.
• Mukherjee A, Zhang J. Reliable Multi-Objective Optimal Control of Batch Processes based on Stacked Neural Network Models. In: 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. 2006, Garmisch-Partenkirchen, Germany: Elsevier.
• Mukherjee A, Zhang J. Reliable multi-objective optimal control of batch processes based on stacked neural network models. Computer Aided Chemical Engineering 2006, 21(C), 1407-1412.
• Xiong Z, Zhang J. A batch-to-batch iterative optimal control strategy based on recurrent neural network models. Journal of Process Control 2005, 15(1), 11-21.
• Zhang J. A neural network-based strategy for the integrated batch-to-batch control and within-batch control of batch processes. Transactions of the Institute of Measurement and Control 2005, 27(5), 391-410.
• Li C, Ye H, Wang G, Zhang J. A recursive nonlinear PLS algorithm for adaptive nonlinear process modeling. Chemical Engineering and Technology 2005, 28(2), 141-152.
• Xiong Z, Zhang J, Wang X, Xu Y. An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes. In: Proceedings of the American Control Conference. 2005, Portland, Oregon, USA: IFAC.
• Zhang J. Batch process modelling and optimal control based on neural network models. Zidonghua Xuebao/Acta Automatica Sinica 2005, 31(1), 19-31.
• Liu Y, Yang X, Xiong Z, Zhang J. Batch-to-Batch Optimal Control Based on Support Vector Regression Model. In: Advances in Neural Networks (ISNN). 2005, Chongqing, China: Springer-Verlag GmbH.
• Ahmad Z, Zhang J. Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling. Neural Computing and Applications 2005, 14(1), 78-87.
• Ahmad Z, Zhang J. Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling. Computers and Chemical Engineering 2005, 30(2), 295-308.
• Xiong Z, Zhang J, Wang X, Xu YM. Integrated Batch-to-Batch Iterative Learning Control and within Batch Control of Product Quality for Batch Processes. In: Proceedings of the 16th IFAC World Congress. 2005, Prague, Czech Republic: Elsevier.
• Zhang J. Modeling and optimal control of batch processes using recurrent neuro-fuzzy networks. IEEE Transactions on Fuzzy Systems 2005, 13(4), 417-427.
• Xiong Z, Zhang J, Wang X, Xu YM. Neural Network Based on-line Shrinking Horizon Re-optimization of Fed-batch Processes. In: Advances in Neural Networks (ISNN). 2005, Chongqing, China: Springer-Verlag GmbH.
• Xiong Z, Zhang J. Neural network model-based on-line re-optimisation control of fed-batch processes using a modified iterative dynamic programming algorithm. Chemical Engineering and Processing: Process Intensification 2005, 44(4), 477-484.
• Xiong Z, Zhang J. Optimal control of fed-batch processes based on multiple neural networks. Applied Intelligence 2005, 22(2), 149-161.
• Xiong Z, Zhang J, Wang X, Xu Y. Tracking control for batch processes through integrating batch-to-batch iterative learning control and within-batch on-line control. Industrial and Engineering Chemistry Research 2005, 44(11), 3983-3992.
• Zhao SJ, Xu YM, Zhang J. A Multiple PCA Model based Technique for the Monitoring of Processes with Multiple Operating Modes. In: Computer-Aided Chemical Engineering 18, European Symposium on Computer-Aided Process Engineering - 14. 2004, Lisbon, Portugal: Elsevier.
• Zhao S, Xu Y, Zhang J. A multiple PCA model based technique for the monitoring of processes with multiple operating modes. Computer Aided Chemical Engineering 2004, 18(C), 865-870.
• Zhao SJ, Xu YM, Zhang J. A Novel Nonlinear Projection to Latent Structures Algorithm. In: Advances in Neural Networks: International Symposium on Neural Networks (ISNN). 2004, Dalian, China: Springer.
• Zhang J. A Reliable Neural Network Model Based Optimal Control Strategy for a Batch Polymerization Reactor. Industrial and Engineering Chemistry Research 2004, 43(4), 1030-1038.
• Li C, Zhang J, Wang G. Adaptive quality prediction for batch processes based on the PLS model. Qinghua Daxue Xuebao/Journal of Tsinghua University 2004, 44(10), 1360-1363.
• Xiong Z, Zhang J. Batch-to-batch optimal control of nonlinear batch processes based on incrementally updated models. IEE Proceedings: Control Theory and Applications 2004, 151(2), 158-165.
• Chen L, Hontoir Y, Huang D, Zhang J, Morris AJ. Combining first principles with black-box techniques for reaction systems. Control Engineering Practice 2004, 12(7), 819-826.
• Tian Y, Zhang J, Morris J. Dynamic on-line reoptimization control of a batch MMA polymerization reactor using hybrid neural network models. Chemical Engineering and Technology 2004, 27(9), 1030-1038.
• Ahmad Z, Zhang J. Improving Long Range Prediction in Nonlinear Process Modelling through Bayesian Combination of Multiple Neural Networks. In: European Symposium on Computer-Aided Process Engineering. 2004, Lisbon, Portugal: Elsevier.
• Zhang J. Integrated Batch-to-Batch Control and within Batch Control of Batch Processes Using Neural Network Models. In: Proceedings of The 2004 IEEE International Symposium on Intelligent Control. 2004, Taipei, Taiwan, China: IEEE.
• Xiong Z, Zhang J. Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network. Neurocomputing 2004, 61(1-4), 317-337.
• Bezas K, Farrugia D, Richardson A, Musicka T, Zhang J, Martin EB. Modelling the distortion of long product sections after hot rolling using finite elements and neural networks. In: 5th International Conference on Quality, Reliability, and Maintenance (QRM 2004). 2004, Oxford, UK: Professional Engineering Publishing.
• Zhao SJ, Zhang J, Xu YM. Monitoring of Processes with Multiple Operating Modes through Multiple PCA Models. Industrial & Engineering Chemistry Research 2004, 43(22), 7025-7035.
• Di LQ, Zhang J, Yang XH. MWMPCA with application to batch processes monitoring. Journal of Jilin University: Information Science 2004, 22(4), 397-400.
• Zhou Q, Zhang J, Xu Y. Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace. In: 8th International Conference on Control, Automation, Robotics and Vision (ICARCV 2004). 2004, Kunming, China: IEEE.
• Xiong Z, Zhang J. Recurrent neural network model based batch-to-batch iterative optimising control. In: IASTED International Conference on Neural Networks and Computational Intelligence. 2004, Grindelwald, Switzerland: ACTA Press.
• Shen M-Z, Zhang J, Scott K. Regulation of power conversion in fuel cells. Chemical Research in Chinese Universities 2004, 20(4), 466-469.
• Xiong Z, Zhang J, Wang X, Xu YM. Run-to-Run Iterative Optimization Control of Batch Processes Based on Recurrent Neural Networks. In: Advances in Neural Networks: International Symposium on Neural Networks (ISNN). 2004, Dalian, China: Springer.
• Shen M, Zhang J, Scott K. The general rule of power converted from chemical energy to electrical energy. Fuel Cells 2004, 4(4), 388-393.
• Xiong Z, Zhang J. Trajectory Tracking of Batch Processes with Varying Control Interval and Incrementally Updated Models. In: Computer-Aided Chemical Engineering 18, European Symposium on Computer-Aided Process Engineering - 14. 2004, Lisbon, Portugal: Elsevier.
• Xiong Z, Zhang J. Trajectory tracking of batch processes with varying control interval and incrementally updated models. Computer Aided Chemical Engineering 2004, 18(C), 853-858.
• Xiong Z, Zhang J. Batch-to-Batch Model-based Iterative Optimisation Control for a Batch Polymerisation Reactor. In: Proceedings of the American Control Conference. 2003, Denver, Colorado, USA: IEEE.
• Ahmed MH, Zhang J. Improved Inferential Feedback Control through Combining Multiple PCR Models. In: IEEE International Symposium on Intelligent Control. 2003, Houston, Texas, USA: IEEE.
• Ahmad Z, Zhang J. Improving Data based Nonlinear Process Modelling through Bayesian Combination of Multiple Neural Networks. In: Proceedings of the International Joint Conference on Neural Networks. 2003, Portland, Oregon, USA: IEEE.
• Zhang J, Xu YM. Inferential Estimation of Polymer Melt Index Using Bootstrap Aggregated Neural Networks with Sequential Training. In: Proceedings of the IFAC International Conference on Intelligent Control and Signal Processing. 2003, Faro, Portugal: Academic Press.
• Norris DJ, Cullis AG, Olsen SH, O'Neill AG, Zhang J. Measurements of gate-oxide interface roughness in strained-Si virtual substrate SiGe/Si MOSFET device structures. In: Microscopy of Semiconducting Materials: Conference on Microscopy of Semiconducting Materials. 2003, Cambridge, UK: Institute of Physics Publishing.
• Zhang J. Multi-Objective Optimal Control of Batch Processes Using Recurrent Neuro-fuzzy Networks. In: Proceedings of the International Joint Conference on Neural Networks. 2003, Portland, Oregon, USA: IEEE.
• Zhang J, Agustriyanto R. Multivariable Inferential Feed Forward Control. Industrial & Engineering Chemistry Research 2003, 42(18), 4186-4197.
• Ahmed MH, Zhang J. Multivariable Inferential Feedback Control of Distillation Compositions Using Dynamic Principal Component Regression Models. In: Proceedings of the American Control Conference. 2003, Denver, Colorado, USA: IEEE.
• Zhang J. Neural Network Model based Batch-to-Batch Optimal Control. In: IEEE International Symposium on Intelligent Control. 2003, Houston, Texas, USA: IEEE.
• Zhang J. Neural Network Model Based Batch-to-Batch Optimal Control. In: IEEE International Symposium on Intelligent Control. 2003, Houston, Texas, USA: IEEE.
• Xiong Z, Zhang J. Product Quality Trajectory Tracking in Batch Processes Using Iterative Learning Control Based on Time-Varying Perturbation Models. Industrial and Engineering Chemistry Research 2003, 42(26), 6802-6814.
• Zhang J. Reliable Optimal Control of a Batch Polymerisation Reactor Based on Neural Network Model with Model Prediction Confidence Bounds. In: Process Systems Engineering 2003: 8th International Symposium on Process Systems Engineering. 2003, Kunming, China: Computer Aided Chemical Engineering: Elsevier BV.
• Ahmad Z, Zhang J, Taip FS. Selective Combination of Multiple Neural Networks for Improving Long Range Prediction in Nonlinear Process Modelling based on Correlation Analysis. In: International Conference on Chemical and Bioprocess Engineering. 2003, Kota Kinabalu, Sabah, Malaysia.
• Ahmad Z, Zhang J. Selective Combination of Multiple Neural Networks for Improving Long Range Prediction in Nonlinear Process Modelling through Correlation Coefficient Analysis. In: International Conference on Robotics, Vision, Information and Signal Processing (ROVISP). 2003, Penang, Malaysia.
• Ahmad Z, Zhang J. A comparison of different methods for combining multiple neural networks models. In: International Joint Conference on Neural Networks (IJCNN 02). 2002, Honolulu, Hawaii, USA: IEEE.
• Jiang J, Xu YM, Zhang J. A Steady State Model for Propylene Polymerization in an Industrial Loop Reactor and Its Application in Melt Index Predication. In: IEEE Conference on Control Applications. 2002, Glasgow, Scotland: IEEE.
• Zhang J. A training method for enhancing neural network model generalisation. In: International Joint Conference on Neural Networks. 2002, Honolulu, Hawaii, USA: IEEE.
• Wei J, Fan S, Xu YM, Zhang J. Dynamic Modelling of an Industrial Polypropylene Reactor and Its Application in Melt Index Prediction During Grade Transitions. In: American Control Conference. 2002, Anchorage, Alaska, USA: IEEE.
• Zhang J. Improved on-line process fault diagnosis using stacked neural networks. In: International Conference on Control Applications. 2002, Glasgow, UK: IEEE.
• Ahmad Z, Zhang J. Improving long range prediction for nonlinear process modelling through combining multiple neural networks. In: International Conference on Control Applications. 2002, Glasgow, UK: IEEE.
• Zhang M, Xu YM, Liu XG, Zhang J. Industrial Application of Non-equilibrium Model: Simulation and Analysis of Ethylene Fractionator. In: IEEE Conference on Control Applications. 2002, Glasgow, Scotland: IEEE.
• Xiong Z, Zhang J. Modeling and optimal control of fed-batch processes using control affine feedforward neural networks. In: Proceedings of the American Control Conference. 2002, Anchorage, Alaska: IEEE.
• Xiong Z, Zhang J. Neural Network Based On-Line Re-Optimisation Control of Fed-Batch Processes Using Iterative Dynamic Programming for Discret-Time Systems. In: 15th IFAC World Congress. 2002, Barcelona, Spain: Elsevier.
• Wei J, Xu YM, Zhang J. Neural Networks based Model Predictive Control of an Industrial Polypropylene Process. In: IEEE Conference on Control Applications. 2002, Glasgow, Scotland: IEEE.
• Huang D, Jin Y, Zhang J, Morris AJ. Non-linear chemical process modelling and application in epichlorhydrine production plant using wavelet networks. Chinese Journal of Chemical Engineering 2002, 10(4), 435-443.
• Tian Y, Zhang J, Morris J. Optimal control of a batch emulsion copolymerisation reactor based on recurrent neural network models. Chemical Engineering and Processing 2002, 41(6), 531-538.
• Tian Y, Zhang J, Morris J. Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model. Neurocomputing 2002, 48, 919-936.
• Xiong Z, Zhang J. Optimal control of batch processes incorporating model prediction confidence bounds based on multiple neural networks. In: International Conference on Control Applications. 2002, Glasgow, UK: IEEE.
• Liu XG, Xu YM, Zhang J, Qian JX. Optimal Energy Cost in Ideal Internal Thermally Coupled Distillation Columns. In: American Control Conference. 2002, Anchorage, Alaska, USA: IEEE.
• Zhang J. Sequential training of bootstrap aggregated neural networks for nonlinear systems modelling. In: Proceedings of the American Control Conference. 2002, Anchorage, Alaska: IEEE.
• Zhang J. A nonlinear gain scheduling control strategy based on neuro-fuzzy networks. Industrial and Engineering Chemistry Research 2001, 40(14), 3164-3170.
• Patton RJ, Lopez CJ, Simani S, Morris J, Martin E, Zhang J. Actuator Fault Diagnosis in a Continuous Stirred Tank Reactor Using Identification Techniques. In: Proceedings of European Control Conference 2001. 2001, Porto, Portugal.
• Zhang J. Developing robust neural network models by using both dynamic and static process operating data. Industrial and Engineering Chemistry Research 2001, 40(1), 234-241.
• Zhang J, Morris AJ. Inferential Estimation and Optimal Control of a Batch Polymerisation Reactor Using Stacked Neural Networks. In: I. M. Mujtaba and M. A. Hussain, ed. Application of Neural Network and Other Learning Technologies in Process Engineering. London: Imperial College Press, 2001, pp.243-266.
• Zhang J. Inferential Feedback Control of Distillation Composition based on PCR and PLS Models. In: Proceedings of American Control Conference 2001. 2001, Arlington, Virginia, U.S.A: IEEE.
• Zhang J, Agustriyanto R. Inferential Feedforward Control of a Distillation Column. In: Proceedings of American Control Conference 2001. 2001, Arlington, Virginia, U.S.A: IEEE.
• Tian Y, Zhang J, Morris J. Modeling and optimal control of a batch polymerization reactor using a hybrid stacked recurrent neural network model. Industrial and Engineering Chemistry Research 2001, 40(21), 4525-4535.
• Zhang J, Morris J. Nonlinear model predictive control based on multiple local linear models. In: Proceedings of the American Control Conference 2001. 2001, Arlington, Virginia, U.S.A: Institution of Electronic and Electrical Engineers.
• Tian Y, Zhang J, Morris AJ. On-line Re-optimisation Control of a Batch Polymerisation Reactor based on a Hybrid Recurrent Neural Network Model. In: Proceedings of American Control Conference 2001. 2001, Arlington, Virginia, U.S.A: IEEE.
• Zhang J. Recurrent Neuro-Fuzzy Networks for the Modelling and Optimal Control of Batch Processes. In: Proceedings of the joint 9th IFSA World Congress and the 20th NAFIPS International Conference. 2001, Vancouver, Canada: IEEE.
• Zhang J. Recurrent neuro-fuzzy networks for the modelling and optimal control of batch processes. In: Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS). 2001, Vancouver, British Columbia, Canda: IEEE.
• Zhang J, Morris AJ. Long range predictive control of nonlinear processes based on recurrent neuro-fuzzy network models. Neural Computing and Applications 2000, 9(1), 50-59.
• Zhang J. Developing robust non-linear models through bootstrap aggregated neural networks. Neurocomputing 1999, 25(1-3), 93-113.
• Zhang J. Inferential estimation of polymer quality using bootstrap aggregated neural networks. Neural Networks 1999, 12(6), 927-938.
• Zhang J, Morris AJ. Recurrent Neuro-Fuzzy Networks for Nonlinear Process Modeling. IEEE Transactions on Neural Networks 1999, 10(2), 313-326.