Publications
1. J. Zhang, P. D. Roberts, and
J. E. Ellis, “An Application of Expert System Techniques to the On-line Control
and Fault Diagnosis of a Mixing Process”, Journal
of Intelligent and Robotic Systems, Vol.1, No.3, 1988, PP209-223.
2. J. Zhang, P. D. Roberts, and
J. E. Ellis, “Fault Diagnosis of a Mixing Process Based on Qualitative
Representation of Physical Behaviours”, Journal
of Intelligent and Robotic Systems, Vol.3, No.2, 1990, PP103-115.
3. J. Zhang, P. D. Roberts, and
J. E. Ellis, “A Self-learning Fault Diagnosis System”, Transactions of the Institute of Measurement and Control, Vol.13,
No.1, 1991, PP29-35.
4. J. Zhang and P. D. Roberts,
“Process Fault Diagnosis with Diagnostic Rules based on Structural
Decomposition”, Journal of Process
Control, Vol.1, November 1991, PP259-269.
5. J. Zhang
and P. D. Roberts, “On-line Process Fault Diagnosis Using Neural Network
Techniques”, Transactions of the
Institute of Measurement and Control, Vol.14, No.4, 1992, PP179-188.
6. J. Zhang
and P. D. Roberts, “Use of Genetic Algorithms in Training Diagnostic Rules for
Process Fault Diagnosis”, Knowledge-Based
Systems, Vol.5, No.4, 1992, PP277-288.
7. F. G. Filip,
P. D. Roberts, and J. Zhang, “Combined Numeric/Knowledge based Hierarchical
Control. Part I. A Survey of Reported Results”, Studies in Informatics and Control, Vol.1, No.2, 1992, PP87-97.
8. F. G. Filip,
P. D. Roberts, and J. Zhang, “Combined Numeric/Knowledge based Hierarchical
Control. Part II. On-line Fault Diagnosis with Deep Knowledge based
Self-learning of Heuristic Rules”, Studies
in Informatics and Control, Vol.1, No.3, 1992, PP181-192.
9. F. G. Filip,
P. D. Roberts, and J. Zhang, “Combined Numeric/Knowledge based Hierarchical
Control. Part III. Process Scheduling and Co-operation”, Studies in Informatics and Control,
Vol.1, No.4, 1992, PP267-283.
10. J. Zhang, “Learning
Diagnostic Knowledge through Neural Networks and Genetic Algorithms”, Studies in Informatics and Control,
Vol.2, No.3, 1993, PP233-252.
11. J. Zhang
and A. J. Morris, “On-line Process Fault Diagnosis Using Fuzzy Neural
Networks”, Intelligent Systems
Engineering, Vol.3, No.1, 1994, PP37-47.
12. J. Zhang
and A. J. Morris, “Nonlinear Systems Modelling Using Fuzzy Neural Networks”, Proceedings of IEE - Control Theory And Applications,
Vol.142, No.6, 1995, PP551-561.
13. J. Zhang, “A Data Based
Approach to Process Fault Diagnosis”, Studies
in Informatics and Control, Vol.4, No.2, 1995, PP93-105.
14. J. Zhang, “Modified Ratio
Control Configurations for Distillation Composition Control”, Studies in Informatics and Control,
Vol.4, No.4, 1995, PP331-342.
15. J. Zhang, E. B. Martin, and
A. J. Morris, “Fault Detection and Diagnosis Using Multivariate Statistical
Techniques”, Chemical Engineering
Research and Design, Vol.74, No.1, 1996, PP89-96.
16. J. Zhang
and A. J. Morris, “Process Modelling and Fault Diagnosis Using Fuzzy Neural
Networks”, Fuzzy Sets and Systems,
Vol. 79, No.1, 1996, PP127-140.
17. E. B. Martin, A. J. Morris,
and J. Zhang, “Process Performance Monitoring through Multivariate Statistical
Process Control”, Proceedings of IEE -
Control Theory And Applications, Vol.143, No.2, 1996, PP132-144.
18. J. Zhang, E. B. Martin, A.
J. Morris, and C. Kiparissides, “Inferential
Estimation of Polymer Quality Using Stacked Neural Networks”, Computers and Chemical Engineering,
Vol.21, 1997, PP s1025-s1030.
19. R. Shao, E. B. Martin, J.
Zhang, and A. J. Morris, “Confidence Bounds for Neural Network
Representations”, Computers and Chemical
Engineering, Vol.21, 1997, PP s1173-s1178.
20. J. Zhang, A. J. Morris, and
E. B. Martin, “Process Monitoring Using Non-linear Statistical Techniques”, Chemical Engineering Journal, Vol.67,
No.3, 1997, PP181-189.
21. J. Zhang
and A. J. Morris, “A Sequential Learning Approach for Single Hidden Layer Neural
Networks”, Neural Networks, Vol.11,
No.1, 1998, PP65-80.
22. J. Zhang, A. J. Morris, and
E. B. Martin, “Long Term Prediction Models Based on Mixed Order Locally
Recurrent Neural Networks”, Computers and
Chemical Engineering, Vol.22, No.7-8, 1998, PP1051-1063.
23. J. Zhang, A. J. Morris, E.
B. Martin, and C. Kiparissides, “Prediction of
Polymer Quality in Batch Polymerisation Reactors Using Robust Neural Networks”,
Chemical Engineering Journal, Vol.69,
No.2, 1998, PP135-143.
24. J. Zhang, A. J. Morris, E.
B. Martin, and C. Kiparissides, “Estimation of
Impurity and Fouling in Batch Polymerisation Reactors through the Application
of Neural Networks”, Computers and
Chemical Engineering, Vol.23, No.3, 1999, PP301-314.
25. J. Zhang, “Developing
Robust Non-linear Models through Bootstrap Aggregated Neural Networks”, Neurocomputing, Vol.25, 1999, PP93-113.
26. J. Zhang and A. J. Morris,
“Recurrent Neuro-Fuzzy Networks for Nonlinear Process
Modelling”, IEEE Transactions on Neural
Networks, Vol.10, No.2, 1999, PP313-326.
27. J. Zhang, “Inferential
Estimation of Polymer Quality Using Bootstrap Aggregated Neural Networks”, Neural Networks, Vol.12, No.6, 1999,
PP927-938.
28. J. Zhang and A. J. Morris,
“Long Range Predictive Control of Nonlinear Processes Based on Recurrent Neuro-Fuzzy Networks Models”, Neural Computing & Applications, Vol.9, No.1, 2000, PP50-59.
29. D. X. Huang, Y. H. Jin, J.
Zhang, and J. Morris, “Non-linear MIMO Predictive Control Based on Wavelet
Networks”, Journal of Tsinghua
University, Vol.40, No.9, 2000, PP116-119.
30. J. Zhang, “Developing
Robust Neural Network Models by Using Both Dynamic and Static Process Operating
Data”, Ind. Eng. Chem. Res., Vol.40. No.1, 2001, PP234-241.
31. J. Zhang,
“A Nonlinear Gain Scheduling Control Strategy Based on Neuro-fuzzy
Networks”, Ind. Eng. Chem. Res.,
Vol.40, No.14, 2001, PP3164-3170.
32. Y. Tian, J. Zhang, and A.
J. Morris, “Modelling and Optimal Control of a Batch Polymerisation Reactor
Using a Hybrid Stacked Recurrent Neural Network Model”, Ind. Eng. Chem. Res., Vol.40, No.21, 2001, PP4525-4535.
33. Y. Tian, J. Zhang, and A.
J. Morris, “Optimal Control of a Fed-Batch Bioreactor based upon an Augmented
Recurrent Neural Network Models”, Neurocomputing,
2002, Vol.48, No.1-4, PP919-936.
34. Y. Tian, J. Zhang, and A.
J. Morris, “Optimal Control of a Batch Emulsion Copolymerisation Reactor based
on Recurrent Neural Network Models”, Chemical
Engineering and Processing, 2002, Vol.41, No.6, PP531-538.
35. D. X. Huang, Y. H. Jin, J.
Zhang, and J. Morris, “Non-linear chemical process modelling and application in
epichlorhydrine production plant using wavelet
networks”, Chinese Journal of Chemical
Engineering, 2002, Vol.10, No.4, PP435-443.
36. J. Zhang and R.
Agustriyanto, “Multivariable Inferential Feed Forward Control”, Ind. Eng. Chem. Res., Vol.42, No.18,
2003, PP4186-4197.
37. Z. Xiong
and J. Zhang, “Product Quality Trajectory Tracking in Batch Processes Using
Iterative Learning Control Based on Time-varying Perturbation Models”, Ind. Eng. Chem. Res., Vol.42, No.26,
2003, PP6802-6814.
38. L. Chen, Y. Hontoir, D. Huang, J. Zhang, and A. J. Morris, “Combining
First Principles with Black-box Techniques for Reaction Systems”, Control Engineering Practice, Vol.12,
No.7, 2004, PP819-826.
39. J. Zhang, “A Reliable
Neural Network Model based Optimal Control Strategy for a Batch Polymerisation
Reactor”, Ind. Eng. Chem. Res.,
Vol.43, No.4, 2004, PP1030-1038.
40. Z. Xiong
and J. Zhang, “Modelling and Optimal Control of Fed-batch Processes Using a
Novel Control Affine Feedforward Neural Network”, Neurocomputing, Vol.61, 2004, PP317-337.
41. Z. Xiong
and J. Zhang, “Batch-to-batch Optimal Control of Non-linear Batch Processes
based on Incrementally Updated Models”, IEE
Proceedings - Control Theory and Applications, Vol.151, No.2, 2004,
PP158-165.
42. Y. Tian, J. Zhang, and A.
J. Morris, “Dynamic On-Line Re-Optimisation Control of A Batch MMA
Polymerisation Reactor Using Hybrid Neural Network Models”, Chemical Engineering and Technology,
Vol.27, No.9, 2004, PP1030-1038.
43. C. Li, J. Zhang, and G.
Wang, “Adaptive quality prediction for batch processes based on the PLS model”,
Journal of Tsinghua
University, 2004，Vol.44, No.10, PP1360-1363. (in
Chinese)
44. L. Q. Di, J. Zhang, and X.
H. Yang, “MWMPCA with application to batch processes monitoring”, Journal of
Jilin University: Information Science, 2004, Vol.22, No.4, PP397-400. (in Chinese)
45. S. J.
Zhao, J. Zhang, and Y. M. Xu, “Monitoring of Processes with Multiple Operating
Modes through Multiple PCA Models”, Ind.
Eng. Chem. Res., Vol.43, 2004, PP7025-7035.
46. M. Shen, J. Zhang, and K. Scott, “Regulation of power
conversion in fuel cells”, Chemical Research in Chinese Universities,
Vol.20, No.4, 2004, PP466-469.
47. M. Shen, J. Zhang, and K. Scott, “The General Rule of Power
Converted from Chemical Energy to Electrical Energy”, Fuel Cells, 2004, Vol.4, No.3, PP388-393.
48. Z. Xiong
and J. Zhang, “Batch-to-Batch Iterative Optimisation Control based on Recurrent
Neural Network Models”, Journal of
Process Control, Vol.15, No.1, 2005, PP11-21.
49. Z. Xiong and J. Zhang, “Optimal
Control of Fed-Batch Processes Based on Multiple Neural Networks”, Applied Intelligence, 2005, Vol.22,
No.2, PP149-161.
50. Z. Xiong and J. Zhang,
“Neural Network Model Based On-line Re-optimisation Control of Fed-batch
Processes Using a Modified Iterative Dynamic Programming Algorithm”, Chemical Engineering and Processing, 2005,
Vol.44, No.4, PP477-484.
51. Z. Ahmad and J. Zhang,
“Bayesian Selective Combination of Multiple Neural Networks for Improving Long
Range Predictions in Nonlinear Process Modelling”, Neural Computing & Applications, 2005, Vol.14, No.1, PP78-87.
52. J. Zhang, “Batch Process
Modelling and Optimal Control based on Neural Network Models”, ACTA Automatica Sinica, 2005,
Vol.31, No.1, PP19-31.
53. C. Li, H. Ye, G. Wang, and J. Zhang, “A Recursive Nonlinear PLS
Algorithm for Adaptive Nonlinear Process Modelling”, Chemical Engineering and Technology, 2005, Vol.28, No.2, PP141-152.
54. J. Zhang, “Modelling and
Optimal Control of Batch Processes Using Recurrent Neuro-Fuzzy
Networks”, IEEE Transactions on Fuzzy
Systems, 2005, Vol. 13, No.4, PP417-427.
55. Z. Xiong,
J. Zhang, X. Wang, and Y. M. Xu, “Tracking Control for Batch Processes through
Integrating Batch-to-Batch Iterative Learning Control and withing-Batch
On-Line Control”, Ind. Eng. Chem. Res.,
Vol.44, 2005, PP3983-3992.
56. J. Zhang, “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, Vol. 27, No. 5, PP391-410.
57. Z. Ahmad and J. Zhang, “Combination
of Multiple Neural Networks Using Data Fusion Techniques for Enhanced Nonlinear
Process Modelling”, Computers &
Chemical Engineering, Vol.30, No.2, 2006, PP295-308.
58. J. Zhang, “Modelling and
Multi-Objective Optimal Control of Batch Processes Using Recurrent Neuro-Fuzzy Networks”, International
Journal of Automation and Computing, 2006, Vol.3, No.1, PP1-7.
59. J. Zhang,
“Improved On-line Process Fault Diagnosis through Information Fusion in
Multiple Neural Networks”, Computers
& Chemical Engineering, Vol.30, No.3, 2006, PP558-571.
60. J. Zhang, Q. Jin, and Y. M.
Xu, “Inferential Estimation of Polymer Melt Index Using Sequentially Trained
Bootstrap Aggregated Neural Networks”, Chemical
Engineering and Technology, Vol.29, No.4, 2006, PP442-448.
61. S. J. Zhao, J. Zhang, and
Y. M. Xu, “Performance Monitoring of Processes with Multiple Operating Modes
through Multiple PLS Models”, Journal of
Process Control, Vol.16, No.7, 2006, PP763-772.
62. J. Zhang, “Offset-Free Inferential
Feedback Control of Distillation Composition based on PCR and PLS Models”, Chemical Engineering and Technology, Vol.29,
No.5, 2006, PP560-566.
63. S. J.
Zhao, J. Zhang, Y. M. Xu, and Z. H. Xiong, “A Nonlinear Projection to Latent
Structures Method and Its Applications”, Ind.
Eng. Chem. Res., Vol. 45, No.11, 2006, PP3843-3852.
64. C. Li, J. Zhang, and G.
Wang, “Adaptive quality prediction for batch processes based on the PLS model”,
Frontiers of Electrical and Electronic
Engineering in China, 2006，Vol.1, No.2,
PP211-215.
65. Z. Xiong J. Zhang, X. Wang,
and Y. M. Xu, “An Integrated Tracking Control Strategy for Batch Processes
Using a Batch-wise Linear Time-varying Perturbation Model”, IET Control Theory and Applications,
2007, Vol.1, No.1, PP179-188.
66. C. Li, J. Zhang, and G.
Wang, “Batch-to-Batch Optimal Control of Batch Processes Based on Recursively
Updated Nonlinear Partial Least Squares Models”, Chemical Engineering Communications, 2007, Vol.194, No.3, PP261-279.
67. Z. Xiong, Y. Xu, J. Zhang, and
J. Dong, “Batch-to-batch
Control of Fed-Batch Processes Using Control-Affine Feedforward
Neural Network”, Neural Computing
& Applications, 2008, Vol.17, No.4, PP425-432.
68. J. Zhang, “Batch-to-Batch
Optimal Control of a Batch Polymerisation Process based on Stacked Neural
Network Models”, Chemical Engineering
Science, 2008, Vol.63, No.5, PP1273-1281.
69. Z. Xiong, J. Zhang, and J.
Dong, “Optimal Iterative Learning Control for Batch Processes Based on Linear
Time-varying Perturbation Model”, Chinese Journal of Chemical Engineering,
2008, Vol. 16, No. 2, PP235-240.
70. A.
Mukherjee and J. Zhang, “A Reliable Multi-Objective Control Strategy for Batch
Processes based on Bootstrap Aggregated Neural Network Models”, Journal of Process Control, 2008, Vol.18,
No.7-8, PP720-734.
71. Z. Ahmad and J. Zhang, “Selective
Combination of Multiple Neural Networks for Improving Model Prediction in
Nonlinear Systems Modelling through Forward Selection and Backward Elimination”,
Neurocomputing, 2009, Vol. 72, No.
4-6, PP1198-1204.
72. R.
Agustriyanto and J. Zhang, “Control Structure Selection for the ALSTOM Gasifier Benchmark Process Using GRDG Analysis”, International Journal of Modelling,
Identification and Control, 2009, Vol. 6, No. 2, PP126-135.
73. J. Zhang, J. Nguyen, and Z.
Xiong, “Iterative Learning Control of Batch Processes based on Time Varying Perturbation
Models”, Journal of Tsinghua
University, 2008, Vol.48, No. S2, PP1771-1774 (in Chinese).
74.
H. Geng, Z. Xiong, Y. Xu, and J. Zhang, “Iterative
learning control with reference batch for linear time-variant system”, Control
and Decision, 2009, Vol. 24, No. 5, PP648-652
(in Chinese).
75. Z. Xiong,
Y. Xu, J. Dong, and J. Zhang, “Neural Network Based Iterative Learning Control
for Product Qualities in Batch Processes”, International
Journal of Modelling, Identification and Control, 2010, Vol.11, No.1-2,
PP107-114.
76. Z. Ahmad, R. A. M. Noor,
and J. Zhang, “Multiple Neural Networks Modeling
Techniques in Process Control: A Review”, Asia-Pacific
Journal of Chemical Engineering, 2009, Vol. 4, No. 4, PP403-419.
77. Z. Xiong, J. Dong, and J. Zhang, “Optimal Iterative Learning Control
for Endpoint Product Qualities in Semi-batch Process based on Neural Network Model”,
Science in China Series F:Information
Sciences, 2009,Vol.52 No.7, PP1136-1144.
78. S. Al-Mawali
and J. Zhang, “Compressor Surge Control Using a Variable Area Throttle and
Fuzzy Logic Control”, Transactions of the
Institute of Measurement and Control, 2010, Vol.32, No.4, PP347-375.
79. F.
Herrera and J. Zhang, “Optimal Control of Fed-Batch Processes Using Particle
Swarm Optimisation with Stacked Neural Network Models”, Computers & Chemical Engineering, 2009, Vol. 33, No. 10, PP1593-1601.
80. T. Chen and
J. Zhang, “On-line multivariate statistical monitoring of batch processes using
Gaussian mixture model”, Computers & Chemical
Engineering, 2010, Vol.34, PP500-507.
81. J. J. Hong, J. Zhang, and
J. Morris, “Fault localization in batch processes through progressive principal
component analysis modeling”, Ind. Eng. Chem. Res., Vol.50(13), 2011, PP8153-8162 .
82. X. Liu, Y. Zhou, L. Cong, and
J. Zhang, “Nonlinear wave modeling and dynamic
analysis of internal thermally coupled distillation columns”, AIChE Journal, 2011, in press.
83. J. Zhang and N. G. Pantelelis, “Modelling and Control of
Reactive Polymer Composite Moulding Using Bootstrap Aggregated Neural Network
Models”, Chemical Product and Process Modeling,
Vol.6(2), 2011, Article 5 (DOI: 10.2202/1934-2659.1603).
II. Refereed Book Chapters
84. J. Zhang and A. J. Morris,
“Neuro-Fuzzy Networks for Process Modelling and Fault
Diagnosis”, Chapter 19 for the book Neural
Networks, (Ed.) J. G. Taylor, Unicom Press, 1995, PP333-352.
85. J. Zhang and A. J. Morris,
“Fuzzy Modelling Using Two Connectionist Architectures”, Chapter 22 for the
book Computer-Aided Chemical Engineering,
Volume 6: Neural networks for Chemical Engineers, (Ed.) A. B. Bulsari,
Elsevier Science, 1995, PP547-572.
86. E. B. Martin, A. J. Morris,
and J. Zhang, “Artificial Neural Networks and Multivariate Statistics”, Chapter
26 for the book Computer-Aided Chemical
Engineering, Volume 6: Neural networks for Chemical Engineers, (Ed.) A. B. Bulsari,
Elsevier Science, 1995, PP627-658.
87. J. Zhang and A. J. Morris,
“A Sequential Training Strategy for Locally Recurrent Neural Networks”, Chapter
10 for the book Intelligent Hybrid
Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms, (ed) D. Ruan,
Kluwer Academic Publishers, 1997, PP125-135.
88. J. Zhang and P. D. Roberts,
“A Hierarchical Structure for On-line Process Fault Diagnosis Based on Deep
Qualitative Modelling”, Chapter 16 for the book Issues of Fault Diagnosis for Dynamic Systems, (eds.) R. J. Patton,
P. M. Frank, and R. N. Clark, Springer-Verlag, 2000,
PP461-483.
89. J. Zhang and A. J. Morris,
“Inferential Estimation and Optimal Control of a Batch Polymerisation Reactor
Using Stacked Neural Networks”, Chapter 11 for the book Application of Neural Network and Other Learning Technologies in
Process Engineering, (ed) I. M. Mujtaba and M. A. Hussain, Imperial College Press, 2001,
PP243-266.
90. J. Zhang,
“Nonlinear Process Modelling and Control Using Neurofuzzy
Networks”, Chapter X for the book Handbook
of Natural Computing, (eds.) G. Rozenberg, T. Back, and J. Kok,
Springer-Verlag, 2009, PP-.
91. J. Morris and J. Zhang,
“Performance Monitoring and Batch to Batch Control of Biotechnological
Processes”, Chapter 10 for the book Computational
Intelligent Techniques for Bioprocesses Modelling Supervision
and Control, (eds.) M. C. Nicoletti and L. C. Jain, Springer-Verlag, 2009, PP281-310.
92. J. Zhang, P. D. Roberts,
and J. E. Ellis, “A Fault Diagnosis System with Self-Reasoning Facilities Based
on Qualitative Modelling”, presented at IMACS/IFAC
International Symposium on Mathematical and Intelligent Models in System
Simulation, Brussels, September 3-7, 1990, published in Mathematical and Intelligent Models in
System Simulation, (eds) R. Hanus,
P. Kool, and S. Tzafestas,
Scientific Publishing Co., 1991, PP431-444.
93. J. Zhang, M. T. Tham, A. J.
Morris, and P. D. Roberts, “Knowledge based Process Supervisory Control”, Proceedings of IFAC/IFORS/IMACS
International Symposium on Large Scale Systems: Theory and Applications,
23-25 August 1992, Beijing, China, PP269-274. (Invited paper)
94. J. Zhang
and M. T. Tham, “A Systematic Approach for the Comparison and Selection of
Distillation Control Configurations”, Proceedings
of I. Chem. E. conference “Advances in Process Control III”, York, U.K.,
23-24 September 1992, PP247-250.
95. J. Zhang, A. J. Morris, G.
A. Montague, and M. T. Tham, “Dynamic System Modelling Using Mixed Node Neural
Networks”, Proceedings of IFAC Symposium
ADCHEM'94, Kyoto, Japan, May 25-27, 1994, PP114-119.
96. M. Bravi,
A. Chianese, C. Mustacchi,
M. Sed, and J. Zhang, “A Neural Network Inferential
Model for Crystallizer Dynamics”, presented at the First National Conference on Chaos and Fractals in Chemical Engineering,
Rome, Italy, May 25-27, 1994.
97. J. Zhang and A. J. Morris,
“Fuzzy Neural Networks in Process Modelling and Fault Diagnosis”, Proceedings of Advanced Summer Institute
(ASI'94) in Cooperative Intelligent Manufacturing Systems, Patras, Greece, June 26 - July 1, 1994, Vol.1, PP166-173.
98. J. Zhang and A. J. Morris,
“Process Fault Diagnosis Using Fuzzy Neural Networks”, Proceedings of American Control Conference 1994, Baltimore,
Maryland, USA, June 29 - July 1, 1994, Vol.1, PP971-975.
99. J. Zhang, A. J. Morris, and
G. A. Montague, “Fault Diagnosis of a CSTR Using Fuzzy Neural Networks”, Proceedings of IFAC Symposium AIRTC'94,
Valencia, Spain, October 3-5, 1994, PP153-158.
100. J. Zhang, M. T. Tham, and
A. J. Morris, “High Performance Distillation Column Control through Novel
Control Configurations”, Proceedings of
IFAC Symposium DYCORD+95, Helsingor, Denmark, 7-9
June, 1995, PP93-98.
101. J. Zhang, X. Yang, A. J.
Morris, and C. Kiparissides, “Neural Network Based
Estimators for a Batch Polymerization Reactor”, Proceedings of IFAC Symposium DYCORD+95, Helsingor,
Denmark, 7-9 June, 1995, PP129-133.
102. J. Zhang and A. J. Morris,
“A Comparison of Several on-line Fault Diagnosis Systems for a CSTR”, Proceedings of IFAC Workshop on Fault
Detection and Supervision in the Chemical Process Industries, Newcastle,
U.K., 12-13 June, 1995, PP89-94.
103. J. Zhang and A. J. Morris,
“Dynamic Process Modelling Using Locally Recurrent Neural Networks”, Proceedings of American Control Conference
1995, Seattle, USA, 21-23 June, 1995, Vol.4, PP2767-2771.
104. A. K. Conlin,
J. Zhang, E. B. Martin, and A. J. Morris, “Nonlinear Statistical Projection
Methods and Artificial Neural Networks”, Proceedings
of American Control Conference 1995, Seattle, USA, 21-23 June, 1995, Vol.3,
PP1852-1856.
105. J. Zhang, E. B. Martin,
and A. J. Morris, “Fault Detection and Classification through Multivariate
Statistical Techniques”, Proceedings of
American Control Conference 1995, Seattle, USA, 21-23 June, 1995, Vol.1,
PP751-755.
106. J. Zhang and A. J. Morris,
“Inferential Estimators for a Batch Polymerisation Reactor based on Mixed Node
Neural Networks”, Proceedings of IFAC
Conference on Youth Automation, Beijing, China, 22-24 August, 1995, Vol.2,
PP689-693.
107. J. Zhang, M. T. Tham, and
A. J. Morris, “Distillation Control Structure Selections through Robust
Performance Analysis”, Proceedings of
IFAC Conference on Youth Automation, Beijing, China, 22-24 August, 1995,
Vol.2, PP824-828.
108. J. Zhang and A. J. Morris,
“Long Range Prediction Models based on Locally Recurrent Neural Networks”, Proceedings of IFAC Conference on Youth
Automation, Beijing, China, 22-24 August, 1995, Vol.2, PP708-712.
109. J. Zhang, M. T. Tham, and
A. J. Morris, “Improved Distillation Operation through New Control
Configurations”, Proceedings of the 3rd
European Control Conference, Rome, Italy, 5-8 September, 1995, PP3105-3110.
110. L. Chen, J. Zhang, A. J.
Morris, G. A. Montague, C. A. Kent, and J. P. Norton, “Combining Neural
Networks with Physical Knowledge in Modelling and State Estimation of
Bioprocesses”, Proceedings of the 3rd
European Control Conference, Rome, Italy, 5-8 September, 1995, PP2426-2431.
111. M. Bravi,
A. Chianese, and J. Zhang, “Dynamic Process Modelling
of a Cooling Crystallizer Using Locally Recurrent Neural Networks”, Proceedings of the 3rd European Control
Conference, Rome, Italy, 5-8 September, 1995, PP2432-2437.
112. X. Yang, J. Zhang, and A.
J. Morris, “Target Space Decomposition and Simplification in Modelling via
Artificial Neural Networks”, presented at IFAC
Symposium on Information Control Problems in Manufacturing, Beijing, China,
11-13 October, 1995.
113. J. Zhang and A. J. Morris,
Proceedings of EUFIT'95, “Sequential
Orthogonal Training of Mixed Order Polynomial Neural Networks”, Aachen,
Germany, 28 - 30 August, 1995, Vol.1, PP340-344.
114. J. Zhang
and A. J. Morris, “Fuzzy Neural Networks for the Modelling of Nonlinear Dynamic
Systems”, Proceedings of EUFIT'95,
Aachen, Germany, 28 -30 August 1995, Vol.3, PP1581-1585.
115. X. Yang,
J. Zhang, and A. J. Morris, “An Artificial Neural Network Approach for
Inferential Measurement”, Proceedings of
International Conference on Neural Information Processing, Beijing, China,
30 October - 3 November, 1995, Vol.1, PP485-488.
116. J. Zhang, E. B. Martin,
and A. J. Morris, “Non-linear Statistical Process Monitoring”, presented at Advances in Fault Diagnosis in Process
Control III, York, U.K., 22 April 1996.
117. J. Zhang, A. J. Morris,
and E. B. Martin, “Robust Process Fault Detection Using Neuro-Fuzzy
Networks”, Proceedings of The 13th IFAC
World Congress, San Francisco, USA, June 30 - July 5, 1996, Vol.N, PP169-174.
118. J. Zhang, E. B. Martin,
and A. J. Morris, “Process Monitoring Using Non-linear Principal Component
Analysis”, Proceedings of The 13th IFAC
World Congress, San Francisco, USA, June 30 - July 5, 1996, Vol.N, PP265-270.
119. X. Yang, J. Zhang, and A.
J. Morris, “Neural Network Model and System Used for Nonlinear Control”, Proceedings of The 13th IFAC World Congress,
San Francisco, USA, June 30 - July 5, 1996, Vol.F,
PP145-150.
120. J. Zhang, E. B. Martin,
and A. J. Morris, “Non-linear Performance Monitoring”, Proceedings of UKACC International Conference on Control'96,
Exeter, U.K., 2 - 5 September, 1996, Vol.2, PP924-929.
121. J. Zhang and A. J. Morris,
“Neuro-Fuzzy Networks: Contributions to Process
Modelling and Fault Diagnosis”, semi-plenary
presentation at EUFIT'96, Aachen,
Germany, 2 - 5 September, 1996.
122. T. Hong, J. Zhang, A. J.
Morris, E. B. Martin, and M. N. Karim, “Neural Based
Predictive Control of a Multivariable Microalgae Fermentation”, Proceedings of IEEE International Conference
on Systems, Man and Cybernetics, Beijing, China, 14-17 October, 1996,
Vol.1, PP345-350.
123. T. Hong, M. N. Karim, A. J. Morris, J. Zhang, and W. Luo, “Nonlinear
Control of a Wastewater pH Neutralisation Process Using Adaptive NARX Models”, Proceedings of IEEE International Conference
on Systems, Man and Cybernetics, Beijing, China, 14-17 October, 1996,
Vol.2, PP911-916.
124. J. Zhang, E. B. Martin,
and A. J. Morris, “Robust Non-linear Models through Bootstrap Aggregated Neural
Networks”, in Neural Networks - Producing
Dependable Systems, ERA Technology, Surrey, U. K., 17 April, 1997, PP15-26,
ISBN 0 7008 0636 9.
125. J. Morris, E. Martin, J.
Zhang, R. Shao, “Building Robust Neural Networks for Industrial Process
Applications”, IEE Colloquium on Neural
Networks for Industrial Applications, 1997, PP7/1-7/3.
126. J. Zhang and A. J. Morris,
“Neuro-Fuzzy Networks for Process Modelling and
Model-based Control”, IEE Colloquium on
Neural and Fuzzy Systems: Design, Hardware and Applications, Savoy Place,
London, 9 May, 1997, PP6/1-6/4.
127. J. Zhang, A. J. Morris, E.
B. Martin, and C. Kiparissides, “Estimation of
Impurity and Fouling in Batch Polymerisation Reactors Using Stacked Neural
Networks”, Proceedings of American
Control Conference 1997, Albuquerque, U.S.A., 4 - 6 June, 1997, Vol.1,
PP247-251.
128. J. Zhang, E. B. Martin, A.
J. Morris, and C. Kiparissides, “Prediction of
Polymer Quality in Batch Polymerisation Reactors”, Proceedings of American Control Conference 1997, Albuquerque,
U.S.A., 4 - 6 June, 1997, Vol.3, PP1370-1374.
129. J. Zhang and A. J. Morris,
“Nonlinear Process Modelling Using Dynamic Neuro-Fuzzy
Networks”, Proceedings of IFAC Symposium
ADCHEM'97, Banff, Canada, 9-11 June, 1997, PP339-344.
130. J. Zhang, E. B. Martin,
and A. J. Morris, “Building Robust Nonlinear Models through Multiple Neural
Networks”, Proceedings of The Second
Chinese World Congress on Intelligent Control and Intelligent Automation,
Xian, China, 23 - 27 June, 1997, Vol.3, PP1724-1729.
131. R. Shao, J. Zhang, E. B.
Martin, and A. J. Morris, “Novel Approaches to Confidence Bound Generation for
Neural Network Representations”, Proceedings
of The 5th International Conference on Artificial Neural Networks,
Cambridge, England, 7 - 9 July, 1997, PP76-81.
132. J. Zhang
and A. J. Morris, “Neuro-Fuzzy Network Model Based
Predictive Control”, Proceedings of
EUFIT'97, Aachen, Germany, 8 - 11 September, 1997, Vol.2, PP1009-1013.
133. J. Zhang and A. J. Morris,
“Long Range Predictive Control of Nonlinear Processes Based on Recurrent Neuro-Fuzzy Network Models”, Proceedings of 5th UK Workshop on Fuzzy Systems,
Sheffield, U.K., 26 -27 May, 1998, Vol.1, PP11-18.
134. Y. Tian, J. Zhang and A.
J. Morris, “Neural Network Based Optimal Control of a Fed-Batch Reactor”, Proceedings of EUFIT'98, Aachen,
Germany, 7 - 10 September, 1998, Vol.1, PP308-312.
135. Y. Tian, J. Zhang and A.
J. Morris, “Optimal Control of a Batch Copolymerisation Reactor Based on
Recurrent Neural Networks”, Proceedings
of EUFIT'99, Aachen, Germany, 13 - 16 September, 1999, CD-ROM.
136. L. Chen, Y. Hontoir, J. Zhang, and G. Bastin,
“Model Based Control of A Reactive Distillation Column”, Proceedings of IFAC ADCHEM2000, Pisa, Italy, 14 - 16 June, 2000,
PP99-104.
137. L. Chen, Y. Hontoir, D. Huang, J. Zhang, and J. Morris, “Combining
First Principles with Black-Box Techniques for Reaction Systems”, Proceedings of IFAC SYSID2000, Santa
Barbara, California, USA, 21 - 23 June, 2000, PP427-432.
138. J. Zhang, “Inferential
Feedback Control of Distillation Composition based on PCR and PLS Models”, Proceedings of American Control Conference
2001, Arlington, Virginia, U.S.A., 25 - 27 June, 2001, PP1196-1201.
139. J. Zhang and R.
Agustriyanto, “Inferential Feedforward Control of a
Distillation Column”, Proceedings of
American Control Conference 2001, Arlington, Virginia, U.S.A., 25 - 27
June, 2001, PP2555-2560.
140. J. Zhang and A. J. Morris,
“Nonlinear Model Predictive Control based on Multiple Local Linear Models”, Proceedings of American Control Conference
2001, Arlington, Virginia, U.S.A., 25 - 27 June, 2001, PP3503-3508. (Invited
paper)
141. Y. Tian, J. Zhang, and A.
J. Morris, “On-line Re-optimisation Control of a Batch Polymerisation Reactor
based on a Hybrid Recurrent Neural Network Model”, Proceedings of American Control Conference 2001, Arlington,
Virginia, U.S.A., 25 - 27 June, 2001, PP350-355. (Invited paper)
142. J. Zhang, “Recurrent Neuro-Fuzzy Networks for the Modelling and Optimal Control
of Batch Processes”, Proceedings of the
Joint 9th IFSA World Congress and the 20th NAFIPS
International Conference, Vancouver, Canada, 25-28 July, 2001, Vol.1,
PP523-528. (Invited paper)
143. R. J. Patton, C. J. Lopez,
S. Simani, J. Morris, E. Martin, and J. Zhang,
“Actuator Fault Diagnosis in a Continuous Stirred Tank Reactor Using
Identification Techniques”, Proceedings of European Control Conference
2001, Porto, Portugal, 4 - 7 September, 2001, PP2729-2734.
144. Z. Xiong
and J. Zhang, “Neural Network Based On-Line Re-Optimisation Control of
Fed-Batch Processes Using Iterative Dynamic Programming for Discret-Time
Systems”, Proceedings of the 15th
IFAC World Congress, Barcelona, Spain, July 21-26, 2002, PP967-972.
145. J. Zhang, “Sequential
Training of Bootstrap Aggregated Neural Networks for Nonlinear Systems Modelling”,
Proceedings of American Control
Conference 2002, Anchorage, Alaska, U.S.A., 8 - 10 May, 2002, Vol.1,
PP531-536.
146. X. G. Liu, Y. M. Xu, J.
Zhang, and J. X. Qian, “Optimal energy cost in ideal
internal thermally coupled distillation columns”, Proceedings of American Control Conference 2002, Anchorage, Alaska,
U.S.A., 8 - 10 May, 2002, Vol.2, PP1502-1507.
147. J. Wei, S. Fan, Y. M. Xu,
and J. Zhang, “Dynamic Modelling of an Industrial Polypropylene Reactor and Its
Application in Melt Index Prediction During Grade Transitions”, Proceedings of American Control Conference
2002, Anchorage, Alaska, U.S.A., 8 - 10 May, 2002, Vol.4, PP2725-2730.
148. Z. Xiong and J. Zhang,
“Modelling and Optimal Control of Fed-Batch Processes Using Affine-Feedforward Neural Networks”, Proceedings of American Control Conference 2002, Anchorage, Alaska,
U.S.A., 8 - 10 May, 2002, Vol.6, PP5025-5030.
149. Z. Ahmad and J. Zhang, “A
Comparison of Different Methods for Combining Multiple Neural Networks Models”,
Proceedings of The 2002 International
Joint Conference on Neural Networks, Honolulu, Hawaii, U.S.A., 12 - 17 May,
2002, Vol.1, PP828-833.
150. J. Zhang, “A Training
Method for Enhancing Neural Network Model Generalisation”, Proceedings of The 2002 International Joint Conference on Neural
Networks, Honolulu, Hawaii, U.S.A., 12 - 17 May, 2002, Vol.1, PP800-805.
151. J. Wei, Y. M. Xu, and J.
Zhang, “Neural Networks based Model Predictive Control of an Industrial
Polypropylene Process”, Proceedings of
IEEE Conference on Control Applications, Glasgow, Scotland, 18 - 20
September, 2002, Vol.1, PP397-402.
152. M. Zhang, Y. M. Xu, X. G.
Liu, and J. Zhang, “Industrial Application of Non-equilibrium Model: Simulation
and Analysis of Ethylene Fractionator”, Proceedings of IEEE Conference on Control
Applications, Glasgow, Scotland, 18 - 20 September, 2002, Vol.1, PP415-420.
153. “A Steady State Model for
Propylene Polymerization in an Industrial Loop Reactor and Its Application in
Melt Index Predication”, J. Jiang, Y. M. Xu, and J. Zhang, Proceedings of IEEE Conference on Control Applications, Glasgow,
Scotland, 18 - 20 September, 2002, Vol.1, PP409-414.
154. Z. Xiong and J. Zhang,
“Optimal Control of Batch Processes Incorporating Model Prediction Confidence
Bounds based on Multiple Neural Networks”, Proceedings
of IEEE Conference on Control Applications, Glasgow, Scotland, 18 - 20
September, 2002, Vol.1, PP48-53. (Invited paper)
155. Z. Ahmad and J. Zhang,
“Improving Long Range Prediction for Nonlinear Process Modelling through
Combining Multiple Neural Networks”, Proceedings
of IEEE Conference on Control Applications, Glasgow, Scotland, 18 - 20
September, 2002, Vol.2, PP966-971.
156. J. Zhang, “Improved
On-line Process Fault Diagnosis Using Stacked Neural Networks”, Proceedings of IEEE Conference on Control
Applications, Glasgow, Scotland, 18 - 20 September, 2002, Vol.2, PP689-694.
157. Z. Ahmad and J. Zhang,
“Selective Combination of Multiple Neural Networks for Improving Long Range
Prediction in Nonlinear Process Modelling through Correlation Coefficient
Analysis”, Proceedings of International
Conference on Robotics, Vision, Information and Signal Processing (ROVISP) 2003,
Penang Malaysia, 22-24 January 2003, PP472-479.
158. J. Zhang and Y. M. Xu,
“Inferential Estimation of Polymer Melt Index Using Bootstrap Aggregated Neural
Networks with Sequential Training”, Proceedings
of the IFAC International Conference on Intelligent Control and Signal
Processing, Faro, Portugal, 8 - 11 April, 2003, PP389-394.
159. M. Ahmed and J. Zhang,
“Multivariable Inferential Feedback Control of Distillation Compositions Using
Dynamic Principal Component Regression Models”, Proceedings of American Control Conference 2003, Denver, Colorado,
U.S.A., 4 - 6 June, 2003, Vol.3, PP1974-1979.
160. Z. Xiong and J. Zhang,
“Batch-to-Batch Model-based Iterative Optimisation Control for a Batch
Polymerisation Reactor”, Proceedings of
American Control Conference 2003, Denver, Colorado, U.S.A., 4 - 6 June,
2003, Vol.3, PP1962-1967.
161. Z. Xiong and J. Zhang,
“Improved Operation of a Batch Polymerisation Reactor through Batch-to-Batch
Iterative Optimisation”, Proceedings of
the IFAC Symposium on Advanced Control of Chemical Processes, Hong Kong, 18
- 20 June, 2003, PP1068-1073.
162. J. Zhang, “Reliable
Optimal Control of a Batch Polymerisation Reactor Based on Neural Network Model
with Model Prediction Confidence Bounds”, Proceedings
of the 8th International Symposium on Process Systems Engineering,
Kunming, China, 22 - 27 June 2003, PP1129-1134.
163. J. Zhang, “Multi-Objective
Optimal Control of Batch Processes Using Neuro-Fuzzy
Networks”, Proceedings of The 2003
International Joint Conference on Neural Networks, Portland, Oregon,
U.S.A., 20 - 24 July, 2003, PP304-309.
164. Z. Ahmad and J. Zhang,
“Improving Data based Nonlinear Process Modelling through Bayesian Combination
of Multiple Neural Networks”, Proceedings
of The 2003 International Joint Conference on Neural Networks, Portland,
Oregon, U.S.A., 20 - 24 July, 2003, PP2472-2477.
165. Z. Ahmad, J. Zhang and F.
S. Taip, “Selective Combination of Multiple Neural
Networks for Improving Long Range Prediction in Nonlinear Process Modelling
based on Correlation Analysis”, Proceedings
of International Conference on Chemical and Bioprocess Engineering, Kota Kinabalu, Sabah, Malaysia, August 2003, Vol.1, PP326-333.
166. J. Zhang, “Neural Network
Model based Batch-to-Batch Optimal Control”, Proceedings of The 2003 IEEE International Symposium on Intelligent
Control, Houston, Texas, U.S.A., 5 - 8 October, 2003, PP352-357.
167. M. Ahmed and J. Zhang,
“Improved Inferential Feedback Control through Combining Multiple PCR Models”, Proceedings of The 2003 IEEE International
Symposium on Intelligent Control, Houston, Texas, U.S.A., 5 - 8 October,
2003, PP878-883.
168. Z. Xiong and J. Zhang, “Recurrent
Neural Network Model based Batch-To-Batch Iterative Optimising Control”, Proceedings of IASTED International
Conference on Neural Network and Computational Intelligence, Grindelwald, Switzerland, 22 - 25 February, 2004, PP1-6.
169. Z. Xiong and J. Zhang, “Trajectory
Tracking of Batch Processes with Varying Control Interval and Incrementally
Updated Models”, in (Eds) A. Barbosa-Povoa and H. Matos, Computer-Aided
Chemical Engineering 18, European
Symposium on Computer-Aided Process Engineering - 14, Lisbon, Portugal, 16
– 19 May, 2004, PP853-858, Elsevier Science BV, Amsterdam.
170. Z. Ahmad and J. Zhang,, “Improving Long Range Prediction in Nonlinear Process
Modelling through Bayesian Combination of Multiple Neural Networks”, Proceedings of ESCAPE14, Lisbon,
Portugal, 16 – 19 May, 2004, CD.
171. S. J. Zhao, Y. M. Xu, and
J. Zhang, “A Multiple PCA Model based Technique for
the Monitoring of Processes with Multiple Operating Modes”, in (Eds) A. Barbosa-Povoa and H.
Matos, Computer-Aided Chemical Engineering
18, European Symposium on
Computer-Aided Process Engineering - 14, Lisbon, Portugal, 16 – 19 May,
2004, PP865-870, Elsevier Science BV, Amsterdam.
172. K. Bezas,
D. Farrugia, A. Richardson, T. Musicka,
J. Zhang, and E. B. Martin, “Modelling the Distortion of Long Product Sections
after Hot Rolling Using Finite Elements and Neural Networks”, 5th International Conference on Quality,
Reliability and Maintenance, Oxford, England, 1 – 2 April, 2004, PP201-204.
173. J. Zhang, “Integrated
Batch-to-Batch Control and within Batch Control of Batch Processes Using Neural
Network Models”, Proceedings of The 2004
IEEE International Symposium on Intelligent Control, Taipei, Taiwan, China,
2 - 4 September, 2004, PP114-119. (Invited paper)
174. Z. Xiong, J. Zhang, X. Wang,
and Y. M. Xu, “Run-to-Run Iterative Optimization Control of Batch Processes
Based on Recurrent Neural Networks”, Proceedings
of International Symposium on Neural Networks, Dalian, China, 19 - 21
August, 2004, in Yin, F., Wang, J., Guo, C. (Eds.), Advances in Neural
Networks - ISNN2004, Lecture Notes in Computer Science (LNCS), Springer-Verlag Heidelberg, Vol. 3174, 2004, PP97-103.
175. Y. Liu, X. Yang, and J.
Zhang, “A Neural Network Modeling Method for Batch
Process”, Proceedings of International
Symposium on Neural Networks, Dalian, China, 19 - 21 August, 2004, in Yin,
F., Wang, J., Guo, C. (Eds.), Advances in Neural Networks - ISNN2004,
Lecture Notes in Computer Science (LNCS), Springer-Verlag
Heidelberg, Vol. 3174, 2004, PP874-879.
176. S. J. Zhao, Y. M. Xu, and
J. Zhang, “A Novel Nonlinear Projection to Latent Structures Algorithm”, Proceedings of International Symposium on
Neural Networks, Dalian, China, 19 - 21 August, 2004, in Yin, F., Wang, J.,
Guo, C. (Eds.), Advances in Neural Networks - ISNN2004, Lecture Notes in
Computer Science (LNCS), Springer-Verlag
Heidelberg, Vol. 3174, 2004, PP773-778.
177. Q. Zhou, J. Zhang, and Y.
M. Xu, “Predicting the Product Yield Profile and Cracking Degrees in an
Industrial Ethylene Pyrolysis Furnace”, Proceedings of the 8th International Conference on Control,
Automation, Robotics and Vision (ICARCV2004), 6 - 9 December, 2004,
Kunming, China, Vol.3, 2129-2133.
178. Z. Xiong, J. Zhang, X.
Wang, and Y. M. Xu, “Integrated Batch-to-Batch Iterative Learning Control and
within Batch Control of Product Quality for Batch Processes”, Proceedings of the 16th IFAC World
Congress, Prague, Czech
Republic, 4 - 8 July, 2005.
179. Z. Xiong, J. Zhang, X.
Wang, and Y. M. Xu, “An Integrated Batch-to-batch Iterative Learning
Control and within Batch Control Strategy for Batch Processes”, Proceedings
of the 2005 American Control Conference (ACC 2005), 8 – 10 June,
2005, Portland, Oregon, USA, PP1935-1940.
180. Z. Xiong, J. Zhang, X.
Wang, and Y. M. Xu, “Neural Network Based on-line Shrinking Horizon
Re-optimization of Fed-batch Processes”, Proceedings
of the Second International Symposium
on Neural Networks (ISNN2005), 30 May – 1 June, 2005, Chongqing, China, in
Wang, J., Liao, X., Zhang, Y. (Eds.),
Advances in Neural Networks – ISNN 2005, Lecture Notes in Computer Science (LNCS),
Springer-Verlag GmbH, Vol. 3498, 2005, PP839-844.
181. Y. Liu, X. Yang, Z. Xiong,
and J. Zhang, “Batch-to-Batch Optimal Control Based
on Support Vector Regression Model”, Proceedings
of the Second International Symposium
on Neural Networks (ISNN2005), 30 May – 1 June, 2005, Chongqing, China, in
Wang, J., Liao, X., Zhang, Y. (Eds.),
Advances in Neural Networks – ISNN 2005, Lecture Notes in Computer Science (LNCS),
Springer-Verlag GmbH, Vol. 3498, 2005, PP125-130.
182. Q. Zhou, Z. Xiong, J.
Zhang, and Y. M. Xu, “Hierarchical Neural Network Based Product Quality
Prediction of Industrial Ethylene Pyrolysis Process”,
Proceedings of the Third International Symposium on Neural Networks
(ISNN2006), 28 May – 1 June, 2006, Chengdu, China, Advances in Neural Networks – ISNN 2006, Lecture Notes in Computer
Science (LNCS), Springer-Verlag GmbH, Vol. 3973,
2006, PP1132-1137.
183. Z. Ahmad and J. Zhang, “A
Nonlinear Model Predictive Control Strategy Using Multiple Neural Network
Models”, Proceedings of the Third International Symposium on Neural Networks
(ISNN2006), 28 May – 1 June, 2006, Chengdu, China, Advances in Neural Networks – ISNN 2006, Lecture Notes in Computer
Science (LNCS), Springer-Verlag GmbH, Vol. 3972,
2006, PP943-948.
184. A. Mukherjee and J. Zhang,
“Reliable Multi-Objective Optimal Control of Batch Processes based on Stacked
Neural Network Models”, in (Eds) W. Marquardt and C. Pantelides, Computer-Aided
Chemical Engineering 21, 16th
European Symposium on Computer Aided Process Engineering and 9th International
Symposium on Process Systems Engineering, July 9 - 13, 2006,
Garmisch-Partenkirchen, Germany, PP1407-1412.
185. R.
Agustriyanto and J. Zhang, “Control Structure Selection for the Alstom Gasifier Benchmark Process
Using GRDG Analysis”, Proceedings of the
International Conference Control 2006, 30 August – 1 September, 2006,
Glasgow, Scotland, CD.
186. R. Agustriyanto and J.
Zhang, “Self Optimizing Control of an Evaporation Process Under
Noisy Measurements”, Proceedings of the
International Conference Control 2006, 30 August – 1 September, 2006,
Glasgow, Scotland, CD.
187. S.
Al-Mawali and J. Zhang, “A Fuzzy Approach to Active Surge Control of
Centrifugal Compressors”, Proceedings of
the International Conference Control 2006, 30 August – 1 September, 2006,
Glasgow, Scotland, CD.
188. Z. Xiong, J. Zhang, X.
Wang, and Y. M. Xu, “Integrated Control of Product Quality for Batch Processes
with Model Uncertainties”, Proceedings of
the International Conference Control 2006, 30 August – 1 September, 2006,
Glasgow, Scotland, CD.
189. F. Herrera and J. Zhang, “Optimal
Control of a Fed-Batch Process Using Particle Swarm Optimisation and Neural
Networks”, Proceedings of the 2006 UK
Workshop on Computational Intelligence, Leeds, 4 – 6 September 2006, Leeds,
UK, PP149-156.
190. S. Al-Mawali and J. Zhang,
“Fuzzy Active Surge Control for Centrifugal Compressors”, Proceedings of the 2006 UK Workshop on Computational Intelligence,
Leeds, 4 – 6 September 2006, Leeds, UK, PP173-180.
191. J. Zhang, “Multi-Objective
Optimal Control of a Fed-Batch Process Using Recurrent Neuro-Fuzzy
Networks”, Proceedings of the 2006 UK
Workshop on Computational Intelligence, Leeds, 4 – 6 September 2006, Leeds,
UK, PP191-197.
192. R. Agustriyanto and J.
Zhang, “Obtaining the Worst Case RGA and RDGA for Uncertain Systems via
Optimization”, Proceeding of the 2007
American Control Conference (ACC 2007), 11 – 13 July, 2007, New York, USA, PP5360-5365.
193. Z. Xiong and J. Zhang, “Integrated Tracking Control for
Batch Processes in the Presence of Model Uncertainties”, Proceedings of The Sixth IEEE
International Conference on Control and Automation (IEEE ICCA 2007),
30 May – 1 June, 2007, Guangzhou, China, PP2417-2422.
195. S. Al-Mawali and J. Zhang, “A Novel Fuzzy Logic Control Strategy
for Compressor Surge Control Using a Variable Area Throttle”, Proceedings of the 22nd
IEEE International Symposium on Intelligent Control, 1 – 3 October
2007, Singapore, PP682-687.
196. R. Agustriyanto and J.
Zhang, “GRDG Analysis of the ALSTOM Gasiifier
Benchmark Process under Model Plant Mismatch”, Proceeding of International Conference on Control, Automation and Systems 2007,
17 – 20 October, 2007, Seoul, Korea, PP883-888.
197. Z. Xiong and J. Zhang,
“Optimal Iterative Learning Control for Endpoint Product Qualities in
Semi-batch Process based on Neural Network Model”, Proceedings of the
2008 International Conference on Modelling, Identification and Control
(ICMIC’2008), June 29- July 2, 2008 Shanghai, China,
CD, paper No. A6-52.
198. A. Mukherjee and J. Zhang,
“Reliable Multi-Objective On-line Re-Optimisation Control of Batch Processes
Based on Bootstrap Aggregated Neural Networks”,
Proceedings of the 17th
IFAC World Congress, 6 – 11 July, 2008, Seoul, Korea, PP10927-10932.
199. M. Al-Mahrouqi and J. Zhang, “Reliable Optimal Control of a
Fed-Batch Bio-Reactor Using Ant Colony Optimization and Bootstrap Aggregated
Neural Networks”, Proceedings of the 17th
IFAC World Congress, 6 – 11 July, 2008, Seoul, Korea, PP8407-8412.
200. F. Herrera and J. Zhang, “Optimal
Control of Fed-Batch Processes Using Particle Swarm Optimisation with Stacked
Neural Network Models”, in (Eds) B. Braunschweig and X. Joulia, Computer-Aided Chemical Engineering 25, Proceedings of the 18th European
Symposium on Computer Aided Process Engineering, 1 – 4 June 2008, Lyon,
France, PP375-380.
201. J. Zhang, J. Nguyan, J. Morris, and Z. Xiong, “Batch to Batch Iterative Learning
Control of A Fed-batch Fermentation Process Using Linearised
Models”, Proceedings of the Tenth International Conference on Control, Automation,
Robotics and Vision (ICARCV 2008),
17 – 20 December, 2008, Hanoi, Vietnam, PP745-750.
202. H. Geng,
Z. Xiong, Y. Xu, and J. Zhang, “Iterative Learning Control with Reference Batch
for Linear Time-Variant Systems”, Proceedings
of the Tenth International Conference on
Control, Automation, Robotics and Vision (ICARCV 2008), 17 – 20 December, 2008, Hanoi, Vietnam, PP739-744.
203. J. Zhang, J. Nguyan, and J. Morris, “Iterative learning control of a crystallisation
process using batch wise updated linearised models
identified using PLS”, in (Eds) J. Jeżowski and J. Thullie, Computer-Aided Chemical Engineering 26, Proceedings of the 19th European
Symposium on Computer Aided Process Engineering, 14 – 17 June 2009, Cracow,
Poland, PP387-392.
204. C. Zhou, Q. Liu, D. X. Huang, and J. Zhang, “Inferential estimation of kerosene dry point in
refineries with varying crudes”, in (Eds) J. Jeżowski and J. Thullie, Computer-Aided Chemical Engineering 26, Proceedings
of the 19th European Symposium on Computer Aided Process Engineering,
14 – 17 June 2009, Cracow, Poland, PP273-278.
205. J. J. Hong, J. Zhang, and J. Morris, “Enhanced
Predictive Modeling Using Multi Block Methods”, in (Eds) J. Jeżowski and J. Thullie, Computer-Aided
Chemical Engineering 26, Proceedings
of the 19th European Symposium on Computer Aided Process Engineering,
14 – 17 June 2009, Cracow, Poland, PP327-332.
206. S. Stubbs, J. Zhang, and J. Morris, “Fault detection of dynamic processes using a
simplified monitoring-specific CVA state space approach”, in (Eds) J. Jeżowski and J. Thullie, Computer-Aided
Chemical Engineering 26, Proceedings
of the 19th European Symposium on Computer Aided Process Engineering,
14 – 17 June 2009, Cracow, Poland, PP339-344.
207. H. Geng,
Z. Xiong, Y. Xu, and J. Zhang, “Iterative Learning Control with Fixed Reference
Batch and Exponential Learning Gain for Linear Systems”, Proceedings of the 21st
Chinese Control and Decision Conference, Guilin, China, 17 - 19 June, 2009, PP1740-1745.
208. J. Zhang, J. Nguyan, Z. Xiong, and J. Morris, “Iterative Learning
Control of a Crystallisation Process Using Batch Wise Updated Linearised Models”, Proceedings
of the 21st Chinese Control and
Decision Conference, Guilin,
China, 17 - 19 June, 2009, PP1734-1739.
209. T. Chen and J. Zhang, “On-line
statistical monitoring of batch processes using Gaussian mixture model”, Proceedings of the IFAC Symposium on
Advanced Control of Chemical Processes, Istanbul, Turkey, 12 - 15 July, 2009.
210. F. L. F. Barbosa, M. Tham,
and J. Zhang, “Human Operator Based Fuzzy Intuitive Controllers Tuned with
Genetic Algorithms”, Proceedings of the
IFAC Symposium on Advanced Control of Chemical Processes, Istanbul, Turkey, 12 - 15 July, 2009.
211. J. J. Hong and J. Zhang, “Quality Prediction for a Fed-Batch Fermentation
Process Using Multi-Block PLS”, in (Eds) J. H. Lee,
H. Lee, J. S. Kim, EKC 2009 Proceedings
of EU-Korea Conference on Science and Technology, Springer Proceedings in
Physics, Vol. 135, Reading, UK, 5-7 August 2009,
PP155-162.
212. M.Y.M. Yunus and J. Zhang, “A Multidimensional
Scaling based Process Monitoring Technique ”, in (Eds)
S. Pierucci and G. Buzzi
Ferraris, Computer-Aided Chemical
Engineering, Proceedings of the 20th
European Symposium on Computer Aided Process Engineering, 6 – 9 June 2010, Naples,
Italy.
213. M.Y.M. Yunus and J. Zhang, “Multivariate Process Monitoring Using
Classical Multidimensional Scaling and Procrustes
Analysis”, Proceedings of the IFAC
Symposium on Dynamics and Control of Process Systems (DYCOPS 2010), Leuven, Belgium, 5 - 7 July, 2010,
PP151-156.
214. S. Stubbs, J. Zhang, and J. Morris, “A Novel State
Space Stochastic Estimation Algorithm and Improved Fault Detection using
Combined Index Monitoring for Dynamic Processes”, Proceedings of the IFAC Symposium on Dynamics and Control of Process
Systems (DYCOPS 2010), Leuven, Belgium,
5 - 7 July, 2010, PP797-802.
215. J. Lingeson, J. Zhang, A.
Hussain and J. Morris, “Batch-to-Batch Iterative Learning Control of a
Fed-batch Fermentation Process Using Incrementally Updated Models”, Proceedings of the IFAC Symposium on Computer Applications in Biotechnology (CAB
2010), Leuven, Belgium,
7 - 9 July, 2010, PP78-83.
216. M.Y.M. Yunus and J. Zhang, “Multivariate Process Monitoring Using
Multidimensional Scaling and Procrustes Analysis”,
Proceedings of the 7th
European Congress of Chemical Engineering and 19th International
Congress of Chemical and Process Engineering, Prague, Czech Republic, 28 August – 1 September, 2010, paper F8.1.
217. W. McLeod and J. Zhang, “Iterative Learning Control of a Fed-batch
Bioreactor with Incrementally Updated Models”, Proceedings of the 7th European Congress of Chemical
Engineering and 19th International Congress of Chemical and Process
Engineering, Prague, Czech Republic,
28 August – 1 September, 2010, paper F8.4.
218. J. J. Hong and J. Zhang, “Progressive PCA modeling
for enhanced fault diagnosis in a batch process”, Proceedings of International Conference on Control, Automation and
Systems (ICCAS 2010), Gyeonggi-do, Korea, 27-30
October 2010, PP713-718.
219. J. Zhang and N G. Pantelelis, “Modelling
and Optimisation Control of Polymer Composite Moulding Processes Using
Bootstrap Aggregated Neural Network Models”, Proceedings of the International Conference on Electric Information and
Control Engineering (ICEICE 2011), 15 – 17 April 2011, Wuhan, China, Vol.3,
PP2363-2366.
220. J. Zhang and N G. Pantelelis, “Iterative
learning control of a reactive polymer composite moulding process using batch
wise updated linearised models”, in (Eds) E. N. Pistikopoulos, M. C. Georgiadis, and
A. C. Kokossis, Computer-Aided
Chemical Engineering, Proceedings of
the 21st European Symposium on Computer Aided Process Engineering,
29 May – 1 June 2011, Chalkidiki, Greece, PP1613-1617.
221. J. Zhang, Y. Feng, and M. H. Al-Mahrouqi, “Reliable optimal control of a fed-batch fermentation process
using ant colony optimisation and bootstrap aggregated neural network models”,
in (Eds) E. N. Pistikopoulos,
M. C. Georgiadis, and A. C. Kokossis,
Computer-Aided Chemical Engineering, Proceedings of the 21st European
Symposium on Computer Aided Process Engineering, 29 May – 1 June 2011, Chalkidiki, Greece, PP664-667.
222. Z. Xiong, J. Zhang, C. Ren, and M. Chen, “Integrated Tracking Control of Batch Processes with Model Uncertainties
by Updating a Linear Perturbation Model”, Proceedings of the 18th IFAC World Congress, August 28 - September 2, 2011, Milano,
Italy, PP4868-4873.