Meeting Papers and Presentations

References
1
Sho C. Takatori, Titus Quah, and James B. Rawlings.
Gray-box modeling and feedback control of active matter.
AIChE Annual Meeting, Boston, MA, November 2–6, 2025.
2
James B. Rawlings.
The moving horizon state estimation problem: formulation and results.
AIChE Annual Meeting, Boston, MA, November 2–6, 2025.
3
Prithvi Dake and James B. Rawlings.
Not every data-driven model plays nice: Why structure matters in optimization.
AIChE Annual Meeting, Boston, MA, November 2–6, 2025.
4
James B. Rawlings.
The dual nature of chemical reaction engineering.
AIChE Annual Meeting, Orlando, FL, November 5–10, 2023.
Materials Interfaces–Celebrating the Career of John Ekerdt.
5
James B. Rawlings and Robert D. McAllister.
On using feedback control to contend with nature's randomness.
AIChE Annual Meeting, Orlando, FL, November 5–10 2023.
6
Davide Mannini and James B. Rawlings.
Optimization methods for robust model predictive control.
AIChE Annual Meeting, Orlando, FL, November 5–10 2023.
7
Steven J. Kuntz, James J. Downs, Stephen M. Miller, and James B. Rawlings.
An industrial case study on the combined identification and offset-free control of a chemical process.
AIChE Annual Meeting, Orlando, FL, November 5–10 2023.
8
James B. Rawlings, Titus Quah, and Pratyush Kumar.
Data completed nonlinear process models for optimization and control.
Monterey Workshop on Topics at the Intersection of Deep Learning and Computational Nonlinear Control, Monterey, CA, May 22–24 2023.
9
James B. Rawlings and Robert D. McAllister.
Harmonizing the use of optimization and feedback in process operations and control.
FOCAPO/CPC 2023, January 8-12, 2023, San Antonio, Texas, 2023.
10
Steven J. Kuntz, James J. Downs, Stephen M. Miller, and James B. Rawlings.
An industrial case study on the combined identification and offset-free model predictive control of a chemical process.
FOCAPO/CPC 2023, January 8-12, 2023, San Antonio, Texas, 2023.
11
Steven J. Kuntz and James B. Rawlings.
Maximum likelihood estimation of linear disturbance models for offset-free model predictive control.
40th Southern California Control Workshop, Caltech, Pasadena, CA, October 21 2022.
12
James B. Rawlings, Douglas A. Allan, and Titus Quah.
Nonlinear optimization-based state estimation; robustness analysis.
15th Viennese Conference on Optimal Control and Dynamic Games, Vienna, Austria, July 12–15 2022.
13
Robert D. McAllister, James B. Rawlings, and Christos T. Maravelias.
The inherent robustness of closed-loop (online) scheduling: Definitions, algorithms, and theoretical guarantees.
AIChE Annual Meeting, Boston, MA, November 2021.
14
Robert D. McAllister and James B. Rawlings.
The inherent robustness of model predictive control: Discrete and infrequent disturbances.
AIChE Annual Meeting, Boston, MA, November 2021.
15
James B. Rawlings and Douglas A. Allan.
Nonlinear optimization-based state estimation; robustness analysis by $Q$ functions.
15th Viennese Conference on Optimal Control and Dynamic Games, Vienna, Austria, July 6-9, Postponed to 2022, Covid. 2021.
16
James B. Rawlings.
Control and optimization of chemical processes: From PID control to on-line optimization in a single generation.
AIChE Annual Meeting, San Francisco, CA, November 2020.
17
Pratyush Kumar, James B. Rawlings, , and Stephen J. Wright.
Disturbance modeling for model predictive control using neural networks.
AIChE Annual Meeting, San Francisco, CA, November 2020.
18
Robert D. McAllister and James B. Rawlings.
Robust recursive feasibility for closed-loop (online) scheduling.
AIChE Annual Meeting, San Francisco, CA, November 2020.
19
James B. Rawlings and Pratyush Kumar.
Industrial, large-scale model predictive control with deep neural networks.
Intersections Between Control, Learning and Optimization (LCO2020), UCLA, Los Angeles, CA, February 24–28 2020.
20
James B. Rawlings.
Modeling what we don't know: Disturbance models and model predictive control.
Session in honor of Yannis Kevrekidis's 60th birthday, AIChE Annual Meeting, Orlando, FL, November 12, 2019.
21
James B. Rawlings.
Estimating the state of a dynamical system: From Kalman filtering to moving horizon state estimation.
Session in honor of Tunde Ogunnaike, the 2018 Recipient of the Warren K. Lewis Award, AIChE Annual Meeting, Orlando, FL, November 12, 2019.
22
Robert D. McAllister and James B. Rawlings.
Economic model predictive control for closed-loop scheduling: Robustness to disturbances.
AIChE Annual Meeting, Orlando, FL, November 2019.
23
Pratyush Kumar and James B. Rawlings.
Fast, large-scale model predictive control using deep neural networks.
AIChE Annual Meeting, Orlando, FL, November 2019.
24
James B. Rawlings and Douglas A. Allan.
Nonlinear optimization-based state estimation; robustness analysis by $Q$ functions.
Monterey Workshop on Computational Control, Monterey, CA, October 7, 2019.
25
James B. Rawlings and Pratyush Kumar.
New data science tools for process operations and control.
Machine Learning and Optimization Research Consortium, Madison, WI, September 11, 2019.
26
Pratyush Kumar and James B. Rawlings.
Approximate model predictive control using neural networks.
36th Southern California Control Workshop, May 2019.
27
Nishith R. Patel, Michael J. Risbeck, James B. Rawlings, Christos T. Maravelias, Michael J. Wenzel, and Robert D. Turney.
A case study of economic optimization of HVAC systems based on the Stanford university campus airside and waterside systems.
5th International High Performance Buildings Conference at Purdue University, West Lafayette, IN, July 2018.
28
Nishith R. Patel, James B. Rawlings, Matthew J. Ellis, Michael J. Wenzel, and Robert D. Turney.
An economic model predictive control framework for distributed embedded battery applications.
5th International High Performance Buildings Conference at Purdue University, West Lafayette, IN, July 2018.
29
Travis J. Arnold and James B. Rawlings.
Strategies for minimum variance ALS estimation of noise covariance matrices.
AIChE Annual Meeting, Minneapolis, MN, October 2017.
30
Min Yao, James B. Rawlings, and Thomas F. Kuech.
Modeling of transport and reaction in a novel hydride vapor phase epitaxy system.
AIChE Annual Meeting, Minneapolis, MN, October 2017.
31
Min Yao, James B. Rawlings, and Thomas F. Kuech.
Intensification of the hydride vapor phase epitaxy manufacturing process for solar devices.
AIChE Annual Meeting, Minneapolis, MN, November 2017.
32
Nishith R. Patel and James B. Rawlings.
Economic optimization of large-scale embedded battery applications.
AIChE Annual Meeting, Minneapolis, MN, November 2017.
33
Nishith R. Patel and James B. Rawlings.
A case study on semi-batch endpoint control.
AIChE Annual Meeting, Minneapolis, MN, October 2017.
34
Nishith R. Patel and James B. Rawlings.
Model predictive control with discrete actuators for tracking zones.
AIChE Midwest Regional Conference. Chicago, IL.
35
Michael J. Risbeck, Christos T. Maravelias, and James B. Rawlings.
Unified treatment of scheduling and control: same story, different dynamics?
AIChE Annual Meeting, Minneapolis, MN, October 2017.
36
Michael J. Risbeck and James B. Rawlings.
Stability and performance of economic model predictive control with discrete actuators.
AIChE Annual Meeting, Minneapolis, MN, October 2017.
37
Douglas A. Allan and James B. Rawlings.
Integrating RTO with stabilizing economic MPC.
AIChE Annual Meeting, Minneapolis, MN, November 2017.
38
Travis J. Arnold and James B. Rawlings.
State estimation of polymerization processes having delayed lab measurements.
Canadian Chemical Engineering Conference, Edmonton, Alberta, October 2017.
39
James B. Rawlings.
Achieving high-level control goals with model predictive control.
67th Canadian Chemical Engineering Conference, Edmonton, Alberta, October 2017.
40
Ankur Gupta, Andrea Timm, James B. Rawlings, and John Yin.
Chemical kinetic modeling of intracellular viral processes in VSV-infected single cells.
AIChE Annual Meeting, San Francisco, CA, November 2016.
41
Nishith R. Patel and James B. Rawlings.
Model predictive control for optimal zone tracking.
AIChE Annual Meeting, San Francisco, CA, November 2016.
42
Travis J. Arnold and James B. Rawlings.
Noise covariance estimation for an air separation plant.
AIChE Annual Meeting, San Francisco, CA, November 2016.
43
Michael J. Risbeck and James B. Rawlings.
Discreetly discrete: Quietly adding integer-valued actuators to model predictive control.
AIChE Annual Meeting, San Francisco, CA, November 2016.
44
Michael J. Risbeck, Christos T. Maravelias, James B. Rawlings, and Robert D. Turney.
Mixed-integer model predictive control for online scheduling of HVAC equipment in commercial buildings.
AIChE Annual Meeting, Salt Lake City, UT, November 2015.
45
Douglas Allan, Thomas A. Badgwell, and James B. Rawlings.
Application of MPC to a scheduling problem.
AIChE Annual Meeting, Salt Lake City, UT, November 2015.
46
James B. Rawlings and Michael J. Risbeck.
Stability and robustness of model predictive control with discrete actuators.
ISMP 2015, Pittsburgh, PA, July 2015.
47
Megan Zagrobelny and James B. Rawlings.
A feasible generalized least-squares approach to disturbance covariance identification.
AIChE Annual Meeting, Atlanta, GA, November 2014.
48
Megan Zagrobelny and James B. Rawlings.
Disturbance covariance identification using maximum likelihood estimation.
AIChE Annual Meeting, Atlanta, GA, November 2014.
49
Min Yao, James B. Rawlings, Kevin L. Schulte, and Thomas F. Kuech.
Modeling and analysis of rapid synthesis of GaAs by hydride vapor phase epitaxy process.
AIChE Annual Meeting, Atlanta, GA, November 2014.
50
Cuyler Bates and James B. Rawlings.
On the inherent robustness of suboptimal economic model predictive control.
AIChE Annual Meeting, San Francisco, CA, November 2013.
51
Megan Zagrobelny and James B. Rawlings.
Identifying noise covariance matrices from industrial datasets.
AIChE Annual Meeting, San Francisco, CA, November 2013.
52
James B. Rawlings, Gabriele Pannocchia, Stephen J. Wright, and Cuyler N. Bates.
On the inherent robustness of suboptimal model predictive control.
OMPC 2013 SADCO Summer School and Workshop on Optimal and Model Predictive Control, Bayreuth, Germany, September 9–13, 2013.
53
James B. Rawlings.
Model predictive control: Its interesting past and bright future.
Nordic Process Control Workshop, Oulu, Finland, August 2013.
54
James B. Rawlings, Gabriele Pannocchia, Stephen J. Wright, and Cuyler N. Bates.
On the inherent robustness of suboptimal model predictive control.
2013 SIAM Conference on Control and its Applications, San Diego, California, July 2013.
55
Kaushik Subramanian, Christos T. Maravelias, and James B. Rawlings.
A state-space model and advanced control methods for chemical production scheduling.
AIChE Annual Meeting, Pittsburgh, PA, November 2012.
56
Rishi Srivastava and James B. Rawlings.
Parameter estimation in stochastic kinetic models.
AIChE Annual Meeting, Pittsburgh, PA, November 2012.
57
G. Pannocchia, D. Q. Mayne, and J. B. Rawlings.
On the convergence of numerical solutions to the continuous-time constrained LQR problem.
In The 21st International Symposium on Mathematical Programming (ISMP 2012), Berlin, Germany, August 2012.
58
James B. Rawlings, Luo Ji, and Giulio Mancuso.
Current status and future challenges of moving horizon state estimation.
In OPTEC Workshop on Moving Horizon Estimation and System Identification, Leuven, Belgium, August 2012.
59
Luo Ji and James B. Rawlings.
MPC performance monitoring and evaluation principles.
In AIChE Annual Meeting, Minneapolis, MN, October 2011.
60
James B. Rawlings.
Controlling large scale systems with distributed model predictive control.
In AIChE Annual Meeting, Salt Lake City, UT, November 2010.
61
Kaushik Subramanian, Christos T. Maravelias, and James B. Rawlings.
Improving supply chain performance using game theory, cooperation and model predictive control.
In AIChE Annual Meeting, Salt Lake City, UT, November 2010.
62
James B. Rawlings.
Optimal control unchained: How fast online computing enabled today's advanced industrial control systems.
In IFAC Workshop on Fifty Years of Nonlinear Control and Optimization, London, UK, September 2010.
63
James B. Rawlings, Brett T. Stewart, Kaushik Subramanian, and Christos T. Maravelias.
Cooperation-based optimization of industrial supply chains.
Workshop on Distributed Model Predictive Control and Supply Chains, Lund University, Lund, Sweden, May 19–21, 2010.
64
Fernando V. Lima, James B. Rawlings, and Tyler A. Soderstrom.
Nonlinear stochastic modeling and state estimation of weakly observable systems: Application to industrial polymerization processes.
In AIChE Annual Meeting, Nashville, TN, November 2009.
65
James B. Rawlings.
Optimal control unchained.
In AIChE Annual Meeting, Nashville, TN, November 2009.
66
Brett T. Stewart and James B. Rawlings.
Cooperative model predictive control with resource management to address coupled constraints.
In 2009 AIChE Spring National Meeting, Tampa, Florida, April 26-30, 2009.
67
James B. Rawlings.
Predictive control from practice to theory.
In AIChE Annual Meeting, Philadelphia, PA, November 2008.
68
Fernando V. Lima and James B. Rawlings.
Nonlinear stochastic modeling for state estimation of an industrial polymerization reactor.
In AIChE Annual Meeting, Philadelphia, PA, November 2008.
69
Rishi Amrit and James B. Rawlings.
Economically optimizing model predictive control.
In AIChE Annual Meeting, Philadelphia, PA, November 2008.
70
Brett Stewart and James B. Rawlings.
Cooperative, distributed model predictive control for systems with coupled input constraints.
In AIChE Annual Meeting, Philadelphia, PA, November 2008.
71
Rishi Srivastava, Sebastian Hensel, John Yin, and James B. Rawlings.
Stochastic modeling of vesicular stomatitis virus (VSV) growth in cells: An application of order statistics to predict replication delays.
Presented at the IMA Workshop, Stochastic Models for Intracellular Reaction Networks, Minneapolis, Minnesota, May 2008.
72
James B. Rawlings and Murali R. Rajamani.
A hybrid approach for state estimation: Combining moving horizon estimation and particle filtering.
In Sandia CSRI Workshop, Large-Scale Inverse Problems and Quantification of Uncertainty, Santa Fe, New Mexico, September 2007.
73
Murali R. Rajamani and James B. Rawlings.
Estimation of noise covariances and disturbance structure from data using least squares with optimal weighting.
In AIChE Annual Meeting, San Francisco, California, November 2006.
74
Ethan A. Mastny, Eric L. Haseltine, and James B. Rawlings.
Stochastic simulation of catalytic surface reactions in the fast diffusion limit.
In AIChE Annual Meeting, San Francisco, California, November 2006.
75
Paul A. Larsen and James B. Rawlings.
Assessing the reliability of crystal size distribution measurements obtained by in situ video microscopy and image analysis.
In AIChE Annual Meeting, San Francisco, California, November 2006.
76
Paul A. Larsen and James B. Rawlings.
Crystal size and shape control using in situ microscopy and model-based object recognition.
Association for Crystallization Technology, 14th Larson Workshop, Princeton, New Jersey, October 8–11, 2006.
77
Paul A. Larsen, James B. Rawlings, and Nicola J. Ferrier.
Crystal size and shape monitoring using high-speed, in situ video imaging and model-based recognition.
In Proceedings of the fifth World Congress on Particle Technology, Orlando, Florida, April 23–28 2006.
78
James B. Rawlings and Bhavik R. Bakshi.
Particle filtering and moving horizon estimation.
Chemical Process Control — 7, Lake Louise, Alberta, Canada, January 2006.
79
Aswin N. Venkat, James B. Rawlings, and Stephen J. Wright.
A framework for integrating model predictive controllers to control large-scale systems.
Annual AIChE Meeting, Cincinnati, OH, October 2005.
80
Eric L. Haseltine, John Yin, and James B. Rawlings.
Multi-level dynamics of viral infections.
Annual AIChE Meeting, Austin, TX, November 2004.
81
Ethan A. Mastny, James B. Rawlings, and Ioannis G. Kevrekidis.
Systems Engineering and Feedback Control of Stochastic Lattice Gas Reaction Models.
Annual AIChE Meeting, Austin, TX, November 2004.
82
James B. Rawlings.
Model predictive control and moving horizon estimation: Assessment of the current status.
Model Predictive Control Workshop, Danish Automation Society, Skaerbaek, Denmark, May 13, 2004.
83
Ethan A. Mastny, Eric L. Haseltine, James B. Rawlings, and Ioannis G. Kevrekidis.
Control of a kinetic Monte Carlo lattice gas model.
Annual AIChE Meeting, San Francisco, CA, November 2003.
84
Brian J. Odelson, James B. Rawlings, James J. Downs, and Stephen M. Miller.
Performance monitoring tailored for model predictive control.
Annual AIChE Meeting, San Francisco, CA, November 2003.
85
Eric L. Haseltine and James B. Rawlings.
Using moving horizon estimation to overcome extended Kalman filtering failure.
Annual AIChE Meeting, San Francisco, CA, November 2003.
86
James B. Rawlings and Eric L. Haseltine.
Estimating the state of a system: The moving horizon approach.
Gordon Research Conference on Statistics in Chemistry and Chemical Engineering, South Hadley, MA, July 2003.
87
James B. Rawlings.
Looking down: Particle technology at the macroscale.
UK Particle Technology Forum, Particle Technology Across the Length Scales, Sheffield, England, July 2003.
88
Brian J. Odelson and James B. Rawlings.
Performance monitoring tailored for model predictive control.
Annual AIChE Meeting, Indianapolis, IN, November 2002.
89
James B. Rawlings, Daniel B. Patience, Eric L. Haseltine, and Philip Dell'Orco.
Stochastic population modeling and application to particle size control in pharmaceutical crystallization.
Annual AIChE Meeting, Indianapolis, IN, November 2002.
90
Daniel B. Patience, Eric L. Haseltine, Philip Dell'Orco, and James B. Rawlings.
Stochastic modeling and control of particle size in crystallization of a pharmaceutical.
World Congress On Particle Technology 4, Sydney, Australia, July 2002.
91
Daniel B. Patience, Eric L. Haseltine, Phillip Dell'Orco, and James B. Rawlings.
Crystallization of a pharmaceutical. experimental data and stochastic modeling of particle size and shape.
Annual AIChE Meeting, Reno, Nevada, November 2001.
92
Matthew J. Tenny and James B. Rawlings.
State estimation strategies for nonlinear model predictive contrtol.
Annual AIChE Meeting, Reno, Nevada, November 2001.
93
Gabriele Pannocchia and James B. Rawlings.
Infinite horizon model predictive control with active steady-state constraints.
Annual AIChE Meeting, Reno, Nevada, November 2001.
94
James B. Rawlings.
Crystal engineering through particle size and shape measurement, kinetic parameter estimation, modeling and control.
International Industrial Pharmaceutical Research and Development Conference, Devil's Head Resort and Conference Center, Wisconsin, June 2001.
95
Daniel B. Patience and James B. Rawlings.
On-line monitoring and modeling of crystal shape in crystallization processes.
Annual AIChE Meeting, Los Angeles, California, November 2000.
96
James B. Rawlings and Daniel B. Patience.
Measuring, modeling and controlling particle size and shape in crystallization processes.
First Symposium on Particulate Processes, Max-Planck-Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany, October 12-13, 2000.
97
James B. Rawlings and Daniel B. Patience.
On-line monitoring of crystal shape in crystallization processes.
Annual Meeting of the International Fine Particle Research Institute, Den Haag, The Netherlands, July 2000.
98
Rahul Bindlish and James B. Rawlings.
Model predictive control of a prototypical copolymerization process.
Annual AIChE Meeting, Dallas, Texas, November 1999.
99
Christopher V. Rao and James B. Rawlings.
Constrained process monitoring: A moving horizon perspective.
Annual AIChE Meeting, Dallas, Texas, November 1999.
100
Christopher V. Rao and James B. Rawlings.
Robust model predictive control: Game theory and output feedback.
Annual AIChE Meeting, Dallas, Texas, November 1999.
101
James B. Rawlings and Daniel B. Patience.
On-line monitoring and control of crystal size and shape.
Annual Meeting of the International Fine Particle Research Institute, Somerset, New Jersey, June 1999.
102
Daniel B. Patience, Hazim Mohameed, and James B. Rawlings.
The kinetics of para-xylene crystallization in scraped surface crystallizers.
Association for Crystallization Technology, ACT 9, Kingsport, Tennessee, April 19–21, 1999.
103
Christopher V. Rao and James B. Rawlings.
Optimization strategies for linear model predictive control.
In Proceedings of the 1998 IFAC DYCOPS Symposium, Corfu, Greece, 1998.
104
Christopher V. Rao and James B. Rawlings.
Stability of moving horizon estimation.
Annual AIChE Meeting, Miami, Florida, November 1998.
105
Scott A. Middlebrooks and James B. Rawlings.
Modelling and control of silicon and germanium thin film chemical vapor deposition.
Annual AIChE Meeting, Miami, Florida, November 1998.
106
Daniel B. Patience and James B. Rawlings.
On-line monitoring and stochastic modelling of particle size distributions.
Annual Meeting of the International Fine Particle Research Institute, Brighton, England, July 1998.
107
Daniel B. Patience and James B. Rawlings.
On-line monitoring and stochastic modelling of particle size distributions.
Annual Meeting of the International Fine Particle Research Institute, Osaka, Japan, June 1997.
108
H. B. Matthews and James B. Rawlings.
Kinetic parameter estimation and optimal control for the batch crystallization of industrial chemical systems.
Annual AIChE Meeting, Chicago, Illinois, November 1996.
109
Christopher V. Rao and James B. Rawlings.
Optimal experimental design for feedback systems.
Annual AIChE Meeting, Chicago, Illinois, November 1996.
110
John C. Campbell and James B. Rawlings.
Evaluation of model predictive control performance in sheet and film forming processes.
Annual AIChE Meeting, Chicago, Illinois, November 1996.
111
Pierre O.M. Scokaert and James B. Rawlings.
Infinite constraint horizons in model predictive control.
Annual AIChE Meeting, Miami Beach, Florida, November 1995.
112
James B. Rawlings and H. B. Matthews.
Crystal size distributions: how they are measured, modelled, and controlled.
Annual AIChE Meeting, Miami Beach, Florida, November 1995.
113
John C. Campbell and James B. Rawlings.
Gage control of film and sheet forming processes.
SIAM Conference on Control and its Applications, St. Louis, Missouri, April 1995.
114
Stephen M. Miller, Hazel B. Matthews, and James B. Rawlings.
Model identification and control strategies for batch cooling crystallizers.
First International Particle Technology Forum, Denver, Colorado, August 1994.
115
James B. Rawlings and Kenneth R. Muske.
An overview of model predictive control.
Annual AIChE Meeting, St. Louis, Missouri, November 1993.
116
James A. Mullins and James B. Rawlings.
Extensions of the general two-particle sintering results to compacts of many particles.
Annual AIChE Meeting, St. Louis, Missouri, November 1993.
117
James B. Rawlings and Stephen M. Miller.
On-Line Control: Applications and Prospects of Model Based Control Schemes.
Third Annual Meeting of the Association for Crystallization Technology, Roche Pharmaceuticals, Nutley, New Jersey, March 1993.
118
Jay H. Lee, Doug Robertson, Kenneth R. Muske, and James B. Rawlings.
Constrained receding horizon estimation.
Annual AIChE Meeting, Miami Beach, Florida, November 1992.
119
James A. Mullins and James B. Rawlings.
General formulation and solution to the two-particle sintering problem.
Annual AIChE Meeting, Miami Beach, Florida, November 1992.
120
Stephen M. Miller and James B. Rawlings.
Control strategies for batch cooling crystallizers.
Annual AIChE Meeting, Miami Beach, Florida, November 1992.
121
James B. Rawlings and Stephen M. Miller.
Controlling Particle Size in Batch Cooling Crystallizers.
Second Annual Meeting of the Association for Crystallization Technology, Eastman Chemical Co., Kingsport, Tennessee, February 1992.
122
James B. Rawlings and Vasilios Manousiouthakis.
Comparing model-predictive control to the minmax approach for robust control.
Annual AIChE Meeting, Los Angeles, California, November 1991.
123
Stephen M. Miller and James B. Rawlings.
An optimal control strategy for batch cooling crystallizers.
Annual AIChE Meeting, Los Angeles, California, November 1991.
124
Andrew P. Fordyce and James B. Rawlings.
Modelling antibiotic production using a structured/segregated approach.
Annual AIChE Meeting, Chicago, Illinois, November 1990.
125
Walter R. Witkowski, Stephen M. Miller, and James B. Rawlings.
Kinetic parameter estimation of crystallization processes.
Annual AIChE Meeting, San Francisco, California, November 1989.
126
Jerome K. DeHey, James B. Rawlings, and Howard F. Rase.
Model improvement by simultaneous data collection and parameter re-estimation.
National AIChE Meeting, Houston, Texas, April 1989.
127
Walter R. Witkowski and James B. Rawlings.
Kinetic parameter estimation of naphthalene/toluene crystallization.
National AIChE Meeting, Houston, Texas, April 1989.
128
John W. Eaton and James B. Rawlings.
Feedback control of chemical processes using on-line optimization techniques.
Annual AIChE Meeting, Washington, D.C., November 1988.
129
Ashutosh A. Patwardhan, James B. Rawlings, and Thomas F. Edgar.
Model predictive control of nonlinear processes in the presence of constraints.
Annual AIChE Meeting, Washington, D.C., November 1988.
130
James B. Rawlings and Wai M. Chan.
Stability and bifurcation of population balance models.
Annual AIChE Meeting, Washington, D.C., November 1988.
131
James B. Rawlings and W. Harmon Ray.
Bifurcation structure and stability of emulsion polymerization reactors.
Annual AIChE Meeting, Chicago, November 1985.
132
James B. Rawlings and W. Harmon Ray.
Simulation and stability of emulsion polymerization reactors.
Summer National AIChE Meeting, Philadelphia, Pennsylvania, August 1984.
133
James B. Rawlings and W. Harmon Ray.
The structure of the dynamic behavior of continuous emulsion polymerization reactors.
Annual AIChE Meeting, Los Angeles, California, November 1982.