(or you may download the PDF file here)
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Date
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SUNDAY |
MONDAY |
TUESDAY |
WENDESDAY |
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11 January |
12 January |
13 January |
14 January |
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8:00 |
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Registration (Academic Concourse) |
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9:00 |
Opening Ceremony (LTB) |
Semi-Plenary Lectures SP #2 |
Semi-Plenary Lectures SP #3 |
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Session SP 2.1 (LTF)
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Session SP 2.2 (LTG)
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Session SP 3.1 (LTF)
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Session SP 3.2 (LTG)
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Plenary Lecture #1 (LTB)
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10:00 |
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Coffee Break |
Coffee Break |
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Coffee Break |
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Oral Lectures #3 |
Oral Lectures #5 |
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Session 3.1 (LTD)
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Session 3.2 (LTF)
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Session 3.3 (LTG)
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Session 5.1 (LTD)
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Session 5.2 (LTF)
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Session 5.3 (LTG)
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11:00 |
Oral Lectures #1 |
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Session 1.1 (LTD)
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Session 1.2 (LTF)
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Session 1.3 (LTG)
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12:00 |
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Lunch |
Lunch |
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13:00 |
Lunch |
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Oral Lectures #4 |
Oral Lectures #6 |
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14:00 |
Registration (Academic Concourse) |
Semi-Plenary Lectures SP #1 |
Session 4.1 (LTD)
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Session 4.2 (LTF)
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Session 4.3 (LTG)
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Session 6.1 (LTD)
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Session 6.2 (LTF)
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Session 6.3 (LTG)
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Session SP 1.1 (LTF)
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Session SP 1.2 (LTG)
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15:00 |
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Coffee Break |
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Coffee Break |
Plenary Lecture #3 (LTB)
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Oral Lectures #2 |
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Session 2.1 (LTD)
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Session 2.2 (LTF)
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Session 2.3 (LTG)
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16:00 |
Plenary Lecture #2 (LTB)
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Closing Ceremony (LTB) |
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Departure to Harbour Cruise Reception at 17:00 sharp |
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17:00 |
Poster Session (Academic Concourse) |
Closing Reception Refreshment (Academic Concourse) |
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18:00 |
Departure to Conference Banquet |
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Detailed Program
12 January 2004 (Monday) |
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Plenary Lecture #1 09:30 – 10:30 |
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LTB |
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Chair: F. Allgower |
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Frontiers in Industrial Process Automation – A Personal PerspectivePeter Terwiesch, ABB Process Industries GmbH, GERMANY
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Oral Session #1 11:00 – 13:00 |
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LTD |
LTF |
LTG |
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Session 1.1 |
Session 1.2 |
Session 1.3 |
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Control Applications 1 |
System Identification |
Control Monitoring and Fault Detection |
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Co-chairs:S. Skogestad, F. Doyle
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Co-chairs: Y. Arkun, W. Marquardt |
Co-chairs: A. Cinar, C. Scali |
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11:00 – 11:20 Modeling and Optimization on Energy Costs in Internal Thermally Coupled Distillation Columns of Non-Ideal Mixtures X. -G. Liu, J. -X. Qian,Zhejiang University
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11:00 – 11:20 Stochastic Grey-Box Modeling as a Tool for Improving the Quality of First Engineering Principles Models N. R. Kristensen, H. Madsen, S. B. Jørgensen, Technical University of Denmark
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11:00 – 11:20 Development of a Technique for Performance Evaluation of Industrial Controllers C. Scali, M. Rossi, University of Pisa M. Amadei, Polimeri Europa
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11:20 – 11:40 Multi-objective Robust Control of an Evaporation Process W. -J. Yan, Zhejiang University Y. Cao, Cranfield Univeristy |
11:20 – 11:40 Identification of Multirate Sampled-Data Systems J. -D. Wang, T. -W. Chen, B. Huang, University of Alberta |
11:20 – 11:40 Performance Assessment of Constrained Controllers C. Georgakis, Polytechnic University L.-L. Huang, Lehigh University
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11:40 – 12:00 Nonlinear Control of a Fluid Catalytic Cracking Unit Q. Yang, S. -R. Li, X. -M. Tian, University of Petroleum (East China)
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11:40 – 12:00 System Identification from Multi-rate Data R. B. Gopaluni, H. Raghavan, S. L. Shah, University of Alberta |
11:40 – 12:00 Performance Envelopes of Process Intensified Systems S. R. Abd Shukor, M. T. Tham, University of Newcastle upon Tyne
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12:00 – 12:20 Estimator Design with PLS Model for Consistent Control of Refinery Main Fractionators D. Pastore, A.Brambilla, G. Pannocchia, University of Pisa |
12:00 – 12:20 Robust PID Tuning using Closed-Loop Identification Y. -C. Zhu, Eindhoven University of Technology |
12:00 – 12:20 Fault Diagnosis Based on Limit Measurements of Process Variables H. A. Preisig, Norwegian University of Science and Technology (NTNU) Y. X. Xi, K. W. Lim, National University Singapore
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12:20 – 12:40 Actuator Selection based upon Model Insights for an Energy Integrated Distillation Column H. W. Li, R. Gani, S. B. Jørgensen, Technical University of Denmark
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12: 20 – 12:40 Estimation of Reaction Rates by Nonlinear System Inversion W. Marquardt, A. Mhamdi, RWTH Aachen |
12:20 –12:40 Optimal Experimental Design for Training of a Fault Detection Algorithm T. Duever, S. J. Lou, H. Budman, University of Waterloo
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12:40 – 13:00 Study on the Soft-Sensor and Control Scheme for an Industrial Azeotropic Distillation Column S. Zhang, C. -M. Bo, J. Li, C. -Y. Sun, Y. -R. Wang, Nanjing University of Technology
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12:40 – 13:00 An Incremental Approach for the Identification of Reaction Kinetics W. Marquardt, M. Brendel, A. Mhamdi, RWTH Aachen D. Bonvin, EPFL |
12:40 – 13:00 Fault Diagnosis and Fault Identification for Fault-Tolerant Control of Chemical Processes K. -K. Noh, E. S. Yoon, Seoul National University |
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Semi-Plenary Lectures SP#1 14:00 – 15:10 |
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LTF |
LTG |
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Session SP 1.1 |
Session SP 1.2 |
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Modelling and Identification |
Process and Control Monitoring |
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Chair: J. Qin |
Chair: B. Huang
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14:00 – 14:35 New Developments in Industrial MPC Identification Y. -C. Zhu, Eindhoven University of Technology |
14:00 – 14:35 Digital Imaging for Process Monitoring and Control with Industrial Applications H. -L. Yu, J. F. MacGregor, McMaster University
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14:35 – 15:10 Modelling and Control of Reactive Distillation Systems M. O. Tadé, B. H. Bisowarno, Y. -C. Tian, Curtin University of Technology
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14:35 – 15:10 Monitoring Performance in Flexible Process Manufacturing E.B. Martin, A.J. Morris, University of Newcastle |
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Oral Session #2 15:40 – 17:40 |
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LTD |
LTF |
LTG |
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Session 2.1 |
Session 2.2 |
Session 2.3 |
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Model Predictive Control |
Modelling and Identification |
Statistical Process Monitoring and Application |
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Co-chairs:M. Kothare, A. Vande Wouwer
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Co-chairs: K. M. Ng, S. L. Shah |
Co-chairs: E. S.Yoon, M. Kano
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15:40 – 16:00 Constraint Handling in Reduced Order MPC: Application to Paper Machines Y. Arkun, Koc University A. Rigopoulos, Weyerhaeuser Corp.
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15:40 – 16:00 A Complete Dynamic Model for Twin Screw Extruders Y. Le Gorrec, S. Choulak, F. Couenne, C. Jallut, LAGEP P. Cassagnau, A. Michel, LMPB
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15:40 – 16:00 PCA with Efficient Statistical Testing Method for Process Monitoring F. -P. Mu, V. Venkatasubramanian, Purdue University
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16:00 – 16:20 Simulation-Based Dual Mode Controller for Nonlinear Processes J. M. Lee, J. H. Lee, Georgia Institute of Technology
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16:00 – 16:20 A Data-Driven Model for Valve Stiction S. L. Shah, M. A. A. S. Choudhury, University of Alberta N. F. Thornhill, University College London
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16:00 – 16:20 Computation of the Performance of Shewhart Control Charts E. B. Martin, P. Mulder, J. Morris, University of Newcastle
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16:20 – 16:40 Nonlinear Model Predictive Control of Multicomponent Distillation Columns using Wave Models S. Schwarzkopf, S. Grüner, I. Uslu, Universität Stuttgart A.Kienle, E. D. Gilles, Max-Planck-Institut für Dynamik Komplexer technischer Systeme Magdeburg
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16:20 – 16:40 A Software Sensor for a Wastewater Treatment Plant T. Lopez, Instituto Mexicano del Petróleo A. Pulis, M. Mulas, R. Baratti, Universita’ di Cagliari
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16:20 – 16:40 Combined Multivariate Statistical Process Control M. Kano, S. Tanaka, S. Hasebe, I. Hashimoto, Kyoto University H. Ohno, Kobe University
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16:40 – 17:00 Nonlinear Model Predictive Control of Cement Grinding Circuits R.Lepore, A. Vande Wouwer, M. Remy, Faculté Polytechnique de Mons
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16:40 – 17:00 Experimental Verification of Gap Metric as a Tool for Model Selection in Multi-Linear Model-Based Control A. Palazoğlu, University of California, Davis O. Galán, ABB Australia Limited Paper J. A. Romagnoli, University of Sydney Y. Arkun, Koç University
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16:40 – 17:00 Batch Monitoring through Common Subspace Models J. Morris, S. Lane, E. B. Martin, University of Newcastle |
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17:00 – 17:20 Optimal Operation and Control of a Reactive Simulated Moving Bed Process A.Toumi, S. Engell, University of Dortmund |
17:00 – 17:20 Bayesian Estimation of Unconstrained Nonlinear Dynamic Systems W. -S. Chen, B. R. Bakshi, P. K. Goel, Ohio State University S. Ungarala, Cleveland State University
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17:00 – 17:20 Application of PLS Based Regression for Monitoring Bitumen Recovery in a Separation Cell H. Raghavan, S. L. Shah, University of Alberta R. Kadali, B. Doucette, Suncor Extraction
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17:20 – 17:40 Combinations of Measurements as Controlled Variables: Application to a Petlyuk Distillation Column V.Alstad, S. Skogestad, Norwegian University of Science and Technology (NTNU)
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17:20 – 17:40 Multivariate Analysis of Process Data using Robust Statistical Analysis and Variable Selection L. H. Chiang, R. J. Pell, M. B. Seasholtz, Dow Chemical Company
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17:20 – 17:40 Online Performance Monitoring and Quality Prediction for Batch Processes A.Cinar, C. Ündey, Illinois Institute of Technology
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13 January 2004 (Tuesday) |
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Semi-Plenary Lectures SP #2 09:00 – 10:10 |
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LTF |
LTG |
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Session SP 2.1 |
Session SP 2.2 |
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Scheduling and Optimization |
Model Based Control |
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Chair: S. Hasebe |
Chair: J. Lee
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09:00 – 09:35 Combined On-Line and Run-To-Run Optimization of Batch Processes with Terminal Constrains C. Welz, B. Srinivasan, D. Bonvin, École Polytechnique Fédérale de Lausanne
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09:00 – 09:35 A Framework for Design of Scheduled Output Feedback Model Predictive Control Z. -Y. Wan, M. V. Kothare, Lehigh University |
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09:35 – 10:10 Constrained Self-Optimizing Control via Differentiation Y. Cao, Cranfield University
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09:35 – 10:10 Adaptive Backstepping Nonlinear Control of Bioprocesses D. Dochain, Université Catholique de Louvain M. Perrier, Ecole Polytechnique de Montréal
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Oral Session #3 10:40 – 12:40 |
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LTD |
LTF |
LTG |
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Session 3.1 |
Session 3.2 |
Session 3.3 |
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Nonlinear and Robust Control |
Modelling and Control of Biochemical and Biomedical Systems |
Process Monitoring |
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Co-chairs: A. Palazoglu, J. Hahn
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Co-Chairs: M. Henson, R. Parker |
Co-Chairs:J. Alvarez, P. Terwiesch
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10:40 – 11:00 Design of Sub-Optimal Robust Gain-Scheduled PI Controllers H. M. Budman, J. -Y. Gao, University of Waterloo
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10:40 – 11:00 Combined Metabolic and Cell Population Modelling for Yeast Bioreactor Control M. A. Henson, University of Massachusetts D. Müller, M. Reuss, Universität Stuttgart
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10:40 – 11:00 Process Monitoring Based on Nonlinear Wavelet Packet PCA Y. Qian, X. -X. Li, J. -F. Wang, Y. -B. Jiang, South China University of Technology
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11:00 – 11:20 Adaptive Extremum Seeking Control of Continuous Stirred Tank Bioreactors M. Guay, Queen's University D. Dochain, Université Catholique de Louvain M. Perrier, Ecole Polytechnique de Montréal
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11:00 – 11:20 Optimization of a Fed-Batch Bioreactor using Simulation-Based Approach J. H. Lee, N. S. Kaisare, Georgia Institute of Technology C.V. Peroni, Universitat Rovira I Virgili
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11:00 –11:20 Application of Statistical Process Monitoring with External Analysis to an Industrial Monomer Plant M. Kano, I. Hashimoto, Kyoto University T. Yamamoto, A. Shimameguri, M. Ogawa, Mitsubishi Chemical Corporation
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11:20 – 11:40 Set Stabilization of a Class of Positive Systems B. A. Foss, L. Imsland, Norwegian University of Science and Technology
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11:20 – 11:40 Glucose Control in Type I Diabetic Patients: A Volterra Model-Based Approach R. S. Parker, J. D. Rubb, University of Pittsburgh |
11:20 –11:40 On-Line Monitoring of a Copolymer Reactor: A Cascade Estimation Design T. Lopez, Instituto Mexicano del Petróleo J. Alvarez, Universidad Autonoma Metropolitana – Iztapalapa R. Baratti, Universita’ di Cagliari
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11:40 – 12:00 Stabilization of Gas Lifted Wells based on State Estimation B. A. Foss, G. O. Eikrem, L. Imsland, Norwegian University of Science and Technology
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11:40 – 12:00 Biomass Reconstruction in a Wastewater Treatment Biofilter A. Vande Wouwer, C. Renotte, Faculté Polytechnique de Mons N. Deconinck, P. Bogaerts, Université Libre de Bruxelles
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11:40 – 12:00 A Robust PCA Modeling Method for Process Monitoring D.Wang, J. A. Romagnoli, University of Sydney
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12:00 –12:20 H-Infinity Control of Descriptor Systems: An Application from Binary Distillation ControlA. Rehm, F. Allgöwer, Universität Stuttgart |
12:00 – 12:20 An Optical Operating Strategy for Fed-Batch Fermentations by Feeding the Overflow Metabolite S. Valentinotti, C. Cannizzaro, B. Srinivasan, D. Bonvin, Ecole Polytechnique Fédérale de Lausanne
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12:00 – 12:20 A Framework for On-Line Trend Extraction and Fault Diagnosis V. Venkatasubramanian, M. R. Maurya, Purdue University R Rengaswamy, Clarkson University |
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12:20 – 12:40 Cascade Control of Unstable Systems with Application to Stabilization of Slug FlowS. Skogestad, E. Storkaas, Norwegian University of Science and Technology |
12:20 – 12:40 Target-set Control R. K. Pearson, Thomas Jefferson University B. A. Ogunnaike, University of Delaware
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12:20 – 12:40 Application of Software Sensors for Monitoring and Prediction in Fermentation ProcessesM. Thaysen, S. B. Jørgensen, Technical University of Denmark
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Oral Session #4 13:50 - 15:30 |
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LTD |
LTF |
LTG |
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Session 4.1 |
Session 4.2 |
Session 4.3 |
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New Formulations and Issues in MPC |
Monitoring and Batch Processes |
Real Time Optimization and Scheduling |
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Co-chairs: S. Engell, S. L. Shah
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Co-chairs:H. Preisig, E. B. Martin
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Co-chairs:C. C. Yu, T. E. Marlin
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13:50 –14:10 Developments in Multi-Rate Predictive Control J. A. Rossiter, Sheffield University T. -W. Chen, S.L. Shah, University of Alberta
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13:50 – 14:10 Investigation of Calibration-Free Resolution Techniques and Independent Component Analysis E.B. Martin, S. Triadaphillou, I. Wells, J.A. Morris, University of Newcastle
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13:50 – 14:10 Combined Real-Time and Iterative Learning Control Technique with Decoupled Disturbance Rejection for Batch Processes S. J. Qin, I. S. Chin, University of Texas at Austin K. S. Lee, M. Cho, Sogang University
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14:10 – 14:30 Nonlinear Predictive Control in the LHC Accelerator C. de Prada, S. Cristea, University of Valladolid E. Blanco, J. Casas, CERN
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14:10 – 14:30 Stage-Based Multivariate Statistical Analysis for Injection Molding F. -R. Gao, N. -Y. Lu, Y. Yang, the Hong Kong University of Science & Technology F. -L. Wang, Northeastern University
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14:10 – 14:30 Results Analysis in a Constrained Real-Time Optimization (RTO) System T. E. Marlin, W. S. Yip, McMaster University
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14:30 – 14:50 Disturbance Attenuation with Actuator Constraints by Moving Horizon H-Infinity Control H.Chen, Jilin University C. W. Scherer, Delft University of Technology |
14:30 – 14:50 Nonlinear Control of a Batch Reactor in the Presence of Uncertainties Y. Samyudia, H. Sibarani, McMaster University P. L. Lee, Curtin University of Technology
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14:30 – 14:50 Predictive Scheduling of a Penicillin Bioprocess Plant S. Lau, M. J. Willis, G. A. Montague, J. Glassey, University of Newcastle
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14:50 – 15:10 An LMI-based Constrained MPC Scheme with Time-Varying Terminal Cost B. Pluymers, L. Roobrouck, J. Buijs, J. A. K. Suykens, B. De Moor, ESAT-SCD-SISTA
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14:50 – 15:10 Modeling and Model Based Feeding Control for Pichia pastoris fed-batch cultivation J. -Q. Yuan, H. -T. Ren, Shanghai Jiao Tong University J. -H. Deng, B. -K. He, L.-M. Ren, North China Pharmaceutical Company
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14:50 – 15:10 Modeling and Optimization for High-Throughput-Screening Systems E. Mayer, J. Raisch, Max-Planck-Institut Magdeburg |
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15:10 – 15:30 Computational Delay in Nonlinear Model Predictive Control R. Findeisen, F. Allgöwer, University of Stuttgart
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15:10 – 15:30 Feedforward Control of Batch Crystallisers - an Approach based on Orbital Flatness U. Vollmer, J. Raisch, Max-Planck-Institut Magdeburg
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15:10 – 15:30 Variance-Constrained Filtering for Uncertain Stochastic Systems with Missing Measurements Z. D. Wang, Brunel University W. C. Ho, City University of Hong Kong |
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Plenary Lecture #2 16:00 – 17:00 |
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LTB |
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Chair: W. Marquardt |
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A Learning Theory Approach to System IdentificationM. Vidyasagar, Tata Consultancy Services R. L. Karandikar, Indian Statistical Institute
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14 January 2004 (Wednesday) |
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Semi-Plenary Lectures SP #3 09:00 – 10:10 |
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LTF |
LTG |
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Session SP 3.1 |
Session SP 3.2 |
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Batch and Semi – Batch Control |
Process Control Applications |
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Chair: D. Bonvin |
Chair: B. Foss |
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09:00 – 09:35 Advances in the Modeling and Control of Batch Crystallizers Z. K. Nagy, J. W. Chew, M. Fujiwara, R. D. Braatz, University of Illinois at Urbana-Champaign
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09:00 – 09:35 MPC in Statoil – Advantages with In-House Technology S. Strand, J. R. Sagli, Statiol R&D, Process Control |
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09:35 – 10:10 Joint Process and Control Designs of a Semibatch Emulsion Polymerization Reactor F. Zaldo, M. Hernández, Centro de Investigación en Polímeros J. Álvarez, Universidad Nacional Autónoma de México
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09:35 – 10:10 Modeling and Control of Thermal Microsystems Y. J. Lee, S. Park, Korea Advanced Institute of Science and Technology S. W. Sung, LG Chem. Ltd. Research Park D. S. Yoon, G. Lim, Samsung Advanced Institute of Technology |
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Oral Session #5 10:40 – 12:40 |
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LTD |
LTF |
LTG |
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Session 5.1 |
Session 5.2 |
Session 5.3 |
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Robustness and Nonlinearity Analysis |
Subspace Approaches to Control and Monitoring |
Microelectronic Manufacturing Process Control Simulation and Control |
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Co-Chair: J. Hahn, N. Hernjak |
Co-Chairs: J. Qin, B. Huang |
Co–Chairs: R. Adomaitis, R. Braatz |
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10:40 – 11:00 Robust Tuning of Feedback Linearizing Controllers via Bifurcation Analysis J. Hahn, M. Mönnigmann, W. Marquardt, RWTH Aachen |
10:40 – 11:00 Modified Subspace-Identification Method for Building A Long-Range Prediction Model for Inferential Control J.H. Lee, Y. -D. Pan, Georgia Institute of Technology |
10:40 – 11:00 Nonlinear Feedback Control of a Coupled Kinetic Monte Carlo-Finite Difference Code R. D. Braatz, E. Rusli, T. O. Drews, D. L. Ma, R. C. Alkire, University of Illinois at Urbana-Champaign
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11:00 – 11:20 Closed Loop Properties and Block Relative Gain J. F. Forbes, V. Kariwala, E. S. Meadows, University of Alberta
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11:00 – 11:20 Model Identification and Error Covariance Matrix Estimation from Noisy Data using PCA S. L. Shah, University of Alberta S. Narasimhan, Indian Institute of Technology
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11:00 – 11:20 Optimal Control of Transient Enhanced Diffusion R. D. Braatz, R. Gunawan, M. Y. L. Jung, E. G. Seebauer, University of Illinois at Urbana-Champaign
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11:20 – 11:40 A Tool to Analyze Robust Stability for Constrained MPC L. O. Santos, J. A. A. M. Castro, Universidale de Coimbra L. T. Biegler, Carnegie Mellon University |
11:20 – 11:40 Nonlinear Subspace Model Identification A. Cinar, J. DeCicco, Illinois Institute of Technology |
11:20 – 11:40 Application of Reduced-Rank Multivariate Methods to the Analysis of Spatial Uniformity of Silicon Wafer Etching P. Misra, M. Nikolaou, University of Houston A. D. Bailey III, Lam Research Corporation
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11:40 – 12:00 Relationship between Control-Relevant Nonlinearity and Performance Objective N. Hernjak, University of Delaware F. J. Doyle III, University of California, Santa Barbara F. Allgöwer, T. Schweickhardt, Universität Stuttgart
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11:40 – 12:00 Semi-Batch Trajectory Control in Reduced Dimensional Spaces J. Flores-Cerrillo, J. F. MacGregor, McMaster University
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11:40 – 12:00 Real-Time Feedback Control of Carbon Content of Zirconium Dioxide Thin Films Using Optical Emission Spectroscopy P. D. Christofides, N. Dong, Y. Lou, S. Lao, J. P. Chang, University of California, Los Angeles
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12:00 – 12:20 Effect of Process Nonlinearity on Linear Quadratic Regulator Performance M. Guay, R. Dier, P. J. McLellan, Queen's University |
12:00 – 12:20 A Subspace Approach to MIMO Control Performance Monitoring and Diagnosis S. J. Qin, University of Texas at Austin C.A. McNabb, Boise Paper Solutions
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12:00 –12:20 Design, Simulation, and Experimental Testing of a Spatially Controllable CVD Reactor R. A. Adomaitis, J. -O. Choo, G. W. Rubloff, L. Henn-Lecordier, Y. -J. Liu, University of Maryland
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12:20 – 12:40 Lower Limit on Controller Gain for Acceptable Disturbance Rejection S. Skogestad, Norwegian University of Science and Technology (NTNU) |
12:20 – 12:40 Multivariate Controller Performance Assessment without Interactor Matrix – a Subspace Approach B. Huang, R. Kadali, University of Alberta
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Oral Session #6 13:50 –15:30 |
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LTD |
LTF |
LTG |
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Session 6.1 |
Session 6.2 |
Session 6.3 |
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Control Application 2 |
Batch Process and Control |
Advances in Process Control |
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Co-chairs: D. Dochain, J. Rieber |
Co-chairs: C. Georgakis, S. B. Jørgensen |
Co-chairs: S. Pistikopoulos, B. Srinivasan |
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13:50 –14:10 Model-Based Trajectory Control of Pressure Swing Adsorption Plants M. Bitzer, K. Graichen, M. Zeitz, Universität Stuttgart |
13:50 – 14:10 Feedback Control of Industrial Solution Polymerization of Acrylic Acid using NIR Measurements G. Févotte, N. Othman, Université Lyon 1 J. B. Egraz, J. M. Sau, COATEX
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13:50 –14:10 Robust Iterative Learning Control Design based on Gradient Method S. Liu, T. -J. Wu, Zhejiang University |
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14:10 – 14:30 Control of Gasholder Level by Trend Prediction based on Time-Series Analysis and Process Heuristics C. Han, Y. -H. Chu, J. H. Kim, Pohang University of Science and Technology S. J. Moon, I. S. Kang, Pohang Iron and Steel Company S. J. Qin, University of Texas at Austin
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14:10 – 14:30 Data-Driven Modeling of Batch Processes D. Bonné, S. B. Jørgensen, Technical University of Denmark |
14:10 – 14:30 Compensator for Internet-based Advanced Control S. -H. Yang, X. Chen, Loughborough University |
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14:30 – 14:50 Setting of Injection Velocity Profile via an Iterative Learning Control Approach F. -R. Gao, Y. Yang, The Hong Kong University of Science and Technology
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14:30 – 14:50 Two-dimensional Population Balance Modeling of Semi-Batch Organic Solution Crystallization G.Févotte, F. Puel, Université Lyon 1
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14:30 – 14:50 Model-Based Auto-Tuning System Using Relay Feedback H. -P. Huang, K. -Y. Luo, National Taiwan University |
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14:50 – 15:10 Dynamics of Process Networks with Recycle and Purge: Time Scale Separation and Model Decomposition P. Daoutidis, M. Baldea, University of Minnesota A. Kumar, GE Corporate Research and Development
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14:50 – 15:10 Calorimetric Estimation of Viscosity and Acid Number in Alkyd Reactors I. S. de Buruaga, Centro de Investigación en Polímeros T. Lopez, S. Pérez, J. Alvarez, Universidad Autónoma Metropolitana-Iztapalapa
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14:50 – 15:10 The Explicit Model-Based Tracking Control Law via Parametric Programming E. N. Pistikopoulos, V. Sakizlis, J. D. Perkins, Imperial College London |
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15:10 – 15:30 Youla-Kučera Parametrisation in Self-Tuning LQ Control of a Chemical Reactor J. Mikleš, L. Čirka, M. Fikar, Slovak University of Technology in Bratislava |
15:10 – 15:30 State Estimation in Batch Crystallization using Reduced Population Models S. Motz, S. Mannal, E. D. Gilles, Universität Stuttgart
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15:10 – 15:30 Discrete Control of Nearly Integrable Two-Dimensional Continuous Systems S. Blouin, M. Guay, K. Rudie, Queen’s University |
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Plenary Lecture #3 15:30 – 16:30 |
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LTB |
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Chair: F. -R. Gao |
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A Systems Approach to Modelling and Analyzing Biological RegulationF. J. Doyle III, University of California, Santa Barbara
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13 January 2004 (Tuesday) |
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Poster Session 17:00 –18:00 |
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Chair: F. -R. Gao |
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Area 1 Process and Control Monitoring
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P1-1 Variance Estimation in Multisensor Fusion Algorithm |
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C. -Q. Zhong, X. -L. Dong, L.-Y. Zhang, Y. Cao, Dalian University of Technology |
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P1-2 Respirometry Estimations Based Monitoring of Biological Wastewater Treatment Processes |
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D. -C. Yuan, L.-P. Fan, H. -B. Yu, Shenyang Institute of Automation |
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P1-3 Wavelet Packet Images Matching Applied to Noise Faults Diagnosis |
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C. Lu, G. -Z. Wang, Tsinghua University |
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Q. -G. Qiu, Dalian University of Technology |
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P1-4 Performance Monitoring based on Characteristic Subspace |
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M. Guo, S. -Q. Wang, Zhejiang University |
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P1-5 Sensing of the Dry Point of Benzene using PCA and DRBFN |
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Y. -Q. Chang, F. -L. Wang, Northeastern University |
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F. -R. Gao, The Hong Kong University of Science and Technology |
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P1-6 A Fault Diagnosis Method for Fermentation Process |
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L.-L. Ma, F. -L. Wang, Y. -B. Jiang, Northeastern University |
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F. -R. GAO, The Hong Kong University of Science and Technology |
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P1-7 Multi-PCA Models for Process Monitoring and Fault Diagnosis |
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L.-L. Ma, Y. -B. Jiang, F. -L. Wang, Northeastern University |
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F. -R. Gao, Hong Kong University of Science and Technology |
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P1-8 A Fault Accommodation Control For Nonlinear Processes |
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Y. -W. Zhang, F. -L. Wang, G. Yu, Northeastern University |
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F. -R. Gao, The Hong Kong University of Science & Technology |
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P1-9 A Novel Detection of Vessel Liquid Level based on Echo Identification |
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Z. -H. Zhang, J. -M. Yuan, University of Science and Technology Beijing |
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W. -Y. Huang, Southeast University |
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P1-10 Multi-Site Performance Monitoring in Batch Pharmaceutical Production |
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C. W. L. Wong, A. J. Morris and E. B. Martin, University of Newcastle |
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R. E. A. Escott, GlaxoSmithKline Chemical Development |
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P1-11 Process Monitoring of an Electro-Pneumatic Valve Actuator Using Kernel Principal Component Analysis |
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S. -O. Song, G. Lee, E. S. Yoon, Seoul National University |
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P1-12 Real-Time Application of Scheduling Quasi-Minmax Model Predictive Control to a Bench-Scale Neutralization |
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Y. -H. Lu, Georgia Institute of Technology |
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Y. Arkun, KOC University |
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A. Palazoglu, University of California at Davis |
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P1-13 Fault-Tolerant Control of Process Systems: Integrating Supervisory and Feedback Control over Networks |
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N. H. El-Farra, A. Gani, P. D. Christofides, University of California, Los Angeles |
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Area 2 Real-Time Optimization and Scheduling
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P2-1 Real-Time Optimization of Distillation Column via Sliding Modes |
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A. Y. Torgashov, K. -C. Park, H. -C. Choi, Y. -K. Choe, Samsung Fine Chemicals Co., Ltd. |
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P2-2 A Receding Optimization Control Policy for Production Systemswith Quadratic Inventory Costs |
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C. -Y. Song, H. Wang, P. Li, Zhejiang University |
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P2-3 Hard Real-Time CORBA (HRTC) for Process Control Systems |
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S. Galán, M. Rodríguez, R. Sanz, Universidad Politécnica de Madrid |
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P2-4 A Disaggregation Technique for the Optimal Planning of Offshore Platforms |
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M. C. A. Carvalho, University of Sao Paulo |
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J. M. Pinto, Polytechnic University |
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Area 3 Process and Control Applications
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P3-1 Analysis and Modeling of Industrial Purified Terephthalic Acid Oxidation Process |
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S. -J. Mu, H. -Y. Su, R. -L. Liu, Y. Gu, J. Chu, Zhejiang University |
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P3-2 Analyzing the Start-Up of Reactive Distillation Columns |
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F. Reepmeyer, J. -U. Repke, G. Wozny, Technical University Berlin |
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P3-3 Plantwide Economical Dynamic Optimization: Application on a Borealis Borstar Process Model |
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W. Van Brempt, P. Van Overschee, T. Backx, IPCOS |
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Ø. Moen, Borealis |
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C. Kiparissides, C. Chatzidoukas, Aristotle University of Thessaloniki |
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P3-4 Fuzzy Neural Network for Predicting 4-CBA Concentration of PTA Process |
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R. -L. Liu, Y. -X. Wang, H. -Y. Su, S. -J. Mu, Y. -Y. Hu, W. -Q. Chen, J. Chu, Zhejiang University |
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P3-5 Designing Neurofuzzy System based on Improved CART Algorithm |
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L. Jia, E. -G. Li, J. -S. Yu, East China University of Science and Technology |
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P3-6 Hybrid Control of a Four Tanks System |
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C. de Prada, S. Cristea, University of Valladolid |
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D. Megías, J. Serrano, Universitat Autónoma de Barcelona |
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P3-7 Temperature Control of Butyl Propionate Reactive Distillation |
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S. -G. Huang, National Taiwan University of Science and Technology |
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C. -C. Yu, National Taiwan University |
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P3-8 Design and Control for Recycle Process with Tubular Reactor |
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Y. -H. Chen, National Taiwan University of Science and Technology |
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C. -C. Yu, National Taiwan University |
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P3-9 Optimal Control of Fluid Catalytic Cracking Unit |
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Q. -Y. Jiang, Z. -K. Cao, J. Cai, H. Zhou, Xiamen University |
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Z. -L. Chen, C. -L. Wang, X. -L. Chen, M. -B. Deng, China Petroleum & Chemical Corporation Guangzhou Branch |
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P3-10 Modeling and Advanced Process Control (APC) for Distillation Columns of Linear Alkylbenzene Plant |
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X. -M. Jin, G. Rong, S. -Q. Wang, Zhejiang University |
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Area 4 Model-Based Control
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P4-1 A Robust Iterative Learning Control with Neural Networks for Robot |
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C. Shao, J. Nie, Dalian University of Technology |
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F. -R. Gao, The Hong Kong University of Science and Technology |
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P4-2 Robust Stable Adaptive Control of Uncertain Bilinear Plants and It’s Application for Distillation Column |
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C. Shao, G. Luo, Dalian University of Technology |
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F. -R. Gao, The Hong Kong University of Science and Technology |
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P4-3 Combined Gain-Scheduling and Multimodel Control of a Reactive Distillation Column |
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B. H. Bisowarno, Y. -C. Tian, M. O. Tadé, Curtin University of Technology |
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P4-4 Constructing Takagi-Sugeno Fuzzy Model based on Modified Fuzzy Clustering Algorithm |
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Z. -Y. Xing, L.-M. Jia, T. -Y. Shi, Y. Qin, Q. -H. Jiang, China Academy of Railway Science |
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P4-5 Nonlinear Predictive Functional Control based on Artificial Neural Network |
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Q. -L. Zhang, L. Xie, S. -Q. Wang, Zhejiang University |
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P4-6 Computational Intelligence (CI) Self-Adaptive PID (CISAPID) |
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M. -Z. Yi, Y. Qin, L.-M. Jia, China Academy of Railway Sciences |
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P4-7 Robust Stability Analysis for Descriptor Systems with State Delay and Parameter Uncertainty |
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S. -Y. Xu, J. Lam, University of Hong Kong |
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C. -W. Yang, Nanjing University of Science and Technology |
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P4-8 Zone Model Predictive Control Algorithm Using Soft Constraint Method |
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Z. -H. Xu, J. Zhao, J. -X. Qian, Zhejiang University |
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P4-9 Evaluation Method and Workbench for APC Strategies |
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G. Reinig, B. Mahn, M. Boll, Ruhr University of Bochum |
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P4-10 Non-Fragile PID Stabilizing Controller on Second-Order Systems with Time Delay |
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J. -M. Xu, L. Yu, Zhejiang University of Technology |
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P4-11 A Method of Controlling Unstable, Non-Minimum-Phase, Nonlinear Processes |
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C. Panjapornpon, M. Soroush, Drexel University |
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W. D. Seider, University of Pennsylvania |
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P4-12 Design of a Sliding Mode Control System based on an Identified SOPDT Model |
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C. -T. Chen, S. -T. Peng, Feng Chia University |
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P4-13 Nonlinear MIMO Adaptive Predictive Control based on Wavelet Network Model |
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D. -X. Huang, Y. -H. Wang, Y. -H. Jin, Tsinghua University |
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P4-14 Input-Output Pairing of Multivariable Predictive Control |
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L.-C. Chen, GAIN Tech Co. |
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P. Yuan, G. -L. Zhang, University of Petroleum |
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P4-15 Generalized Predictive Control for a Class of Bilinear Systems |
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G. -Z. Liu, P. Li, Liaoning University of Petroleum & Chemical Technology |
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P4-16 Nonlinear Model Predictive Control using a Neural Network |
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R. -D. Zhang, P. Li, Liaoning University of Petroleum & Chemical Technology |
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P4-17 Process Optimization and Control under Chance Constraints |
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P. Li, M. Wendt, H. Arellano-Garcia, G. Wozny, Technische Universität Berlin |
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P4-18 Adaptive Extremum Seeking Control of Nonisothermal Continuous Stirred Tank Reactors |
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M. Guay, Queen’s University |
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D. Dochain, Université Catholique de Louvain |
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M. Perrier, Ecole Polytechnique de Montréal |
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P4-19 On the Use of Controller Parameterization in the Optimal Design of Dynamically Operable Plants |
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K. G. Dunn, C. L. E. Swartz, McMaster University |
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P4-20 Improved Performance of Robust MPC with Feedback Model Uncertainty |
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A. L. Warren and T. E. Marlin, McMaster University |
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P4-21 Adaptive Extremum Seeking Output Feedback Control for a Continuous Stirred Tank Bioreactor |
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N. I. Marcos, M. Guay, Queen’s University |
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D. Dochain, Université Catholique de Louvain |
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P4-22 A BMI-Based Design of Switched PID Controllers |
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J. Aoyama, K. Konishi, T. Yamamoto, T. Hinamoto, Hiroshima University |
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P4-23 Hybrid Control: Implementing Output Feedback MPC with Guaranteed Stability Region |
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P. Mhaskar, N. H. El-Farra, P. D. Christofides, University of California, Los Anglos |
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P4-24 An Internal Model Control for Max-Plus Linear Systems with Linear Parameter Varying Structure |
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S. Masuda, T. Amemiya, Tokyo Metropolitan Institute of Technology |
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H. Goto, K. Takeyasu, Japan Research Institute |
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Area 5 Modeling and Identification
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P5-1 Hybrid strategy for parameter estimation and PID tuning |
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L. Wang, D. -Z. Zheng, D. -X. Huang, Tsinghua University |
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P5-2 Integration of Product Quality Estimation and Operating Condition Monitoring for Efficient Operation of Industrial Ethylene Fractionator |
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H. Kamohara, A. Takinami, M. Takeda, Showa Denko K.K. |
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M. Kano, S. Hasebe, I. Hashimoto, Kyoto University |
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P5-3 On-Line Lower-Order Modeling Using Fuzzy Systems |
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A. B. Rad, H. F. Ho, Y. K. Wong, W. L. Lo, the Hong Kong Polytechnic University |
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P5-4 A Novel Soft Sensor Modeling for Gasoline Endpoint of the Crude Unit |
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X. -M. Tian, G. -C. Chen, University of Petroleum |
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P5-5 State and Parameter Estimation through Dynamic Bayesian Forecasting |
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Z. Lu, E. Martin, J. Morris, University of Newcastle |
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P5-6 Heat Transfer in a Cable Penetration Fire Stop System |
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S. -P. Kwon, J. Cho, S. -O. Song, W. Kim, E. S. Yoon, Seoul National University |
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P5-7 Modeling of Metabolic Systems using Global Optimization Methods |
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E. P. Gatzke, University of South Carolina |
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E. O. Voit, Medical University of South Carolina |
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P5-8 A State-Shared Modeling Approach to Transition Control |
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Z. -H. Tian, K. A. Hoo, Texas Tech University |
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Area 6 Batch Process Modeling and Control
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P6-1 Temperature Control of the Batch Polypropylene Reactor by ADRC |
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Y. -Q. Wang, X. -F. Zhu, South China University of Technology |
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P6-2 Fermentation Batch Process Monitoring by Step-By-Step Adaptive MPCA |
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N. He, L. Xie, S. -Q. Wang, J. -M. Zhang, Zhejiang University |
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P6-3 Improved Operation of a Batch Polymerization Reactor through Batch-To-Batch Iterative Optimization |
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Z. -H. Xiong, J. Zhang, University of Newcastle |
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P6-4 Kappa Number Prediction by Hybrid Model for Batch Pulp Cooking Process |
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Y. Li, J. Zhang, X. -F. Zhu, D. -P. Huang, South China University of Technology |
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P6-5 A Modular Batch Laboratory Process |
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R. Olsson, K. -E. Årźen, Lund Institute of Technology |
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