Articles

References
1
Titus Quah, Sho C. Takatori, and James B. Rawlings.
Learning Continuum-level Closures For Control of Interacting Active Particles.
J. Chem. Phys., 164:044126, 2026.
2
Steven J. Kuntz and James B. Rawlings.
Offset-free model predictive control: stability under plant-model mismatch.
IEEE Trans. Auto. Cont., 2025.
3
Steven J. Kuntz and James B. Rawlings.
Beyond inherent robustness: strong stability of MPC despite plant-model mismatch.
IEEE Trans. Auto. Cont., 2025.
4
Davide Mannini, Joao Hespanha, and James B. Rawlings.
Disturbance attenuation for linear systems: Optimal solutions and nonlinear control.
IEEE Trans. Auto. Cont., 70(12):8181–8194, Dec 2025.
5
Steven J. Kuntz and James B. Rawlings.
Maximum Likelihood Identification of Linear Models with Integrating Disturbances for Offset-Free Control.
IEEE Trans. Auto. Cont., 70(9):5675–5689, Sep 2025.
6
Sho C. Takatori, Titus Quah, and James B. Rawlings.
Feedback control of active matter.
Annu. Rev. Conden. Matter Phys., 16:319–341, 2025.
7
Titus Quah, Kevin J. Modica, James B. Rawlings, and Sho C. Takatori.
Model predictive control of non-interacting active Brownian particles.
Soft Matt., 20(43):8581–8588, 2024.
8
Prithvi Dake, Maria Rikaela Ilagan, Shoili Banerjee, Susannah L. Scott, and James B. Rawlings.
Identifying kinetic models from reactor measurements.
J. Vac. Sci. Technol. A., 42(6), 2024.
9
Davide Mannini, Robin Strässer, and James B. Rawlings.
Optimal design of disturbance attenuation feedback controllers for linear dynamical systems.
In American Control Conference, pages 1891–1896, Toronto, CA, July 8–12, 2024.
10
Titus Quah, Sho C. Takatori, and James B. Rawlings.
Neural Network Augmented Model Predictive Control: Application to Active Brownian Particles.
In American Control Conference, pages 5382–5387, Toronto, CA, July 8–12, 2024.
11
Luke Bhan, Yuanyuan Shi, Iasson Karafyllis, Miroslav Krstic, and James B. Rawlings.
Moving horizon estimators for hyperbolic and parabolic PDEs in 1-D.
In American Control Conference, pages 4735–4740, Toronto, CA, July 8–12, 2024.
12
Robert D. McAllister and James B. Rawlings.
A suboptimal economic model predictive control algorithm for large and infrequent disturbances.
IEEE Trans. Auto. Cont., 69(2):1242–1248, 2024.
13
Robert D. McAllister and James B. Rawlings.
On the inherent distributional robustness of stochastic and nominal model predictive control.
IEEE Trans. Auto. Cont., 69(2):741–754, 2024.
14
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.
Comput. Chem. Eng., 179, 2023.
15
Jack T. Hopper, Ruining Ma, James B. Rawlings, Peter C. Ford, and Mahdi M. Abu-Omar.
Markedly improved catalytic dehydration of sorbitol to isosorbide by sol-gel sulfated zirconia: a quantitative structure-reactivity study.
ACS Catal., 13(15):10137–10152, 2023.
16
Pratyush Kumar and James B. Rawlings.
Unconstrained feedback controller design using Q-learning from noisy process data.
Comput. Chem. Eng., 177, 2023.
17
Pratyush Kumar and James B. Rawlings.
Structured nonlinear process modeling using neural networks and application to economic optimization.
Comput. Chem. Eng., 177, 2023.
18
James B. Rawlings and Robert D. McAllister.
Harmonizing the use of optimization and feedback in process operations and control.
Comput. Chem. Eng., 176, 2023.
19
Pratyush Kumar, James B. Rawlings, Michael J. Wenzel, and Michael J. Risbeck.
Grey-box model and neural network disturbance predictor identification for economic MPC in building energy systems.
Energ. Buildings, 286, 2023.
Available online 7 March 2023.
20
Robert D. McAllister and James B. Rawlings.
On using feedback control to contend with nature's randomness.
Ind. Eng. Chem. Res., 62:2175–2190, 2023.
21
Robert D. McAllister and James B. Rawlings.
Nonlinear stochastic model predictive control: Existence, measurability, and stochastic asymptotic stability.
IEEE Trans. Auto. Cont., 68(3):1524–1536, Mar 2023.
22
Robert D McAllister and James B Rawlings.
The stochastic robustness of nominal and stochastic model predictive control.
IEEE Trans. Auto. Cont., 2022.
Online Early Access.
23
Robert D McAllister and James B Rawlings.
Inherent stochastic robustness of model predictive control to large and infrequent disturbances.
IEEE Trans. Auto. Cont., 67(10):5166–5178, 2022.
24
Pratyush Kumar, James B. Rawlings, and Pierre Carrette.
Modeling proportional-integral controllers in tracking and economic model predictive control.
J. Proc. Cont., 122:1–12, 2022.
25
Robert D. McAllister and James B. Rawlings.
Advances in mixed-integer model predictive control.
In American Control Conference, pages 364–369, Atlanta, GA, June 8–10, 2022.
26
Steven J. Kuntz and James B. Rawlings.
Maximum likelihood estimation of linear disturbance models for offset-free model predictive control.
In American Control Conference, pages 3961–3966, Atlanta, GA, June 8–10, 2022.
27
Robert D. McAllister, James B. Rawlings, and Christos T. Maravelias.
The inherent robustness of closed-loop scheduling.
Comput. Chem. Eng., 159:107678, 2022.
28
Travis J. Arnold and James B. Rawlings.
Tractable calculation and estimation of the optimal weighting for autocovariance least squares.
IEEE Trans. Auto. Cont., 67(11):6045–60, 2022.
29
Robert D McAllister and James B Rawlings.
Stochastic exponential stability of nonlinear stochastic model predictive control.
In 2021 60th IEEE Conference on Decision and Control (CDC), pages 880–885. IEEE, 2021.
30
Robert D McAllister and James B Rawlings.
Robustness of model predictive control to (large) discrete disturbances.
IFAC-PapersOnLine, 54(6):64–69, 2021.
31
Douglas A. Allan and James B. Rawlings.
Robust stability of full information estimation.
SIAM J. Cont. Opt., 59(5):3472–3497, 2021.
32
Douglas A. Allan, James B. Rawlings, and Andrew R. Teel.
Nonlinear detectability and incremental input/output-to-state stability.
SIAM J. Cont. Opt., 59(4):3017–3039, 2021.
33
Pratyush Kumar, James B. Rawlings, and Stephen J. Wright.
Industrial, large-scale model predictive control with structured neural networks.
Comput. Chem. Eng., 150:107291, 2021.
34
Min Yao, James B. Rawlings, and Thomas F. Kuech.
Simulation and analysis of III-V heterostructure solar cells for a continuous HVPE process.
Semicond. Sci. Tech., 35:105011, 2020.
35
Robert D. McAllister, James B. Rawlings, and Christos T. Maravelias.
Rescheduling penalties for economic model predictive control and closed-loop scheduling.
Ind. Eng. Chem. Res., 59(6):2214–2228, 2020.
36
Michael J. Risbeck, Christos T. Maravelias, James B. Rawlings, and Robert F. Turney.
Mixed-integer optimization methods for online scheduling in large-scale HVAC systems.
Optim. Lett., 14:889–924, 2020.
37
Michael J. Risbeck and James B. Rawlings.
Economic MPC for time-varying cost and peak demand charge optimization.
IEEE Trans. Auto. Cont., 65(7):2957–2968, Jul 2020.
38
James B. Rawlings and Douglas A. Allan.
Moving horizon estimation.
In Tariq Samad and John Baillieul, editors, Encyclopedia of Systems and Control. Springer-Verlag, London, second edition, 2019.
39
Douglas A. Allan and James B. Rawlings.
A Lyapunov-like function for full information estimation.
In American Control Conference, pages 4497–4502, Philadelphia, PA, July 10–12, 2019.
40
Michael J. Risbeck, Christos T. Maravelias, and James B. Rawlings.
Unification of closed-loop scheduling and control: State-space formulations, terminal constraints, and nominal theoretical properties.
Comput. Chem. Eng., 129, 2019.
41
Nishith R. Patel, James B. Rawlings, Matthew J. Ellis, Michael J. Wenzel, and Robert D. Turney.
Economic optimization of distributed embedded battery units for large-scale HVAC applications.
AIChE J., 65, 2019.
42
James B. Rawlings and Christos T. Maravelias.
Bringing new technologies and approaches to the operation and control of chemical process systems.
AIChE J., 65(6), 2019.
43
Min Yao, James B. Rawlings, and Thomas F. Kuech.
Modeling of transport and reaction in a novel hydride vapor phase epitaxy system.
J. Cryst. Growth, 513:58–68, 2019.
44
Joel A. E. Andersson, Joris Gillis, Greg Horn, James B. Rawlings, and Moritz Diehl.
CasADi—a software framework for nonlinear optimization and optimal control.
Math. Prog. Comp., 11(1):1–36, Mar 2019.
45
Nishith R. Patel and James B. Rawlings.
Application of MPC to building HVAC systems.
In Sasa V. Raković and William S. Levine, editors, Handbook of Model Predictive Control, pages 607–623. Birkhäuser, Chan, Switzerland, 2019.
46
Douglas A. Allan and James B. Rawlings.
Moving horizon estimation.
In Sasa V. Raković and William S. Levine, editors, Handbook of Model Predictive Control, pages 99–124. Birkhäuser, Chan, Switzerland, 2019.
47
Joel A.E. Andersson and James B. Rawlings.
Sensitivity analysis for nonlinear programming in CasADi.
IFAC-PapersOnLine, 51(20):331–336, 2018.
48
Douglas A. Allan and James B. Rawlings.
Inherent robustness of discontinuous MPC: Even $(u,u^3)$ is robust.
6th IFAC Conference on Nonlinear Model Predictive Control NMPC 2018, Madison, WI, Aug 2018.
49
Travis J. Arnold and James B. Rawlings.
Uniqueness conditions for ALS problems.
6th IFAC Conference on Nonlinear Model Predictive Control NMPC 2018, Madison, WI, Aug 2018.
50
James B. Rawlings, Nishith R. Patel, Michael J. Risbeck, Christos T. Maravelias, Michael J. Wenzel, and Robert D. Turney.
Economic MPC and real-time decision making with application to large-scale HVAC energy systems.
Comput. Chem. Eng., 114:89–98, 2018.
51
Douglas A. Allan, Cuyler N. Bates, Michael J. Risbeck, and James B. Rawlings.
On the inherent robustness of optimal and suboptimal nonlinear MPC.
Sys. Cont. Let., 106:68–78, Aug 2017.
52
Michael J. Risbeck, Christos T. Maravelias, James B. Rawlings, and Robert D. Turney.
A mixed-integer linear programming model for real-time cost optimization of building heating, ventilation, and air conditioning equipment.
Energ. Buildings, 142:220–235, May 2017.
53
James B. Rawlings and Michael J. Risbeck.
Model predictive control with discrete actuators: Theory and application.
Automatica, 78:258–265, 2017.
54
Luo Ji, James B. Rawlings, Wuhua Hu, Andrew Wynn, and Moritz Diehl.
Robust stability of moving horizon estimation under bounded disturbances.
IEEE Trans. Auto. Cont., 61(11):3509–3514, Nov 2016.
55
Fuke Wu, Tianhai Tian, James B. Rawlings, and George Yin.
Approximate method for stochastic chemical kinetics with two-time scales by chemical Langevin equations.
J. Chem. Phys., 144(17):174112, 2016.
56
Douglas A. Allan, Michael J. Risbeck, and James B. Rawlings.
Stability and robustness of model predictive control with discrete actuators.
In American Control Conference, pages 32–37, Boston, MA, July 6–8, 2016.
57
Nishith R. Patel, Michael J. Risbeck, James B. Rawlings, Michael J. Wenzel, and Robert D. Turney.
Distributed economic model predictive control for large-scale building temperature regulation.
In American Control Conference, pages 895–900, Boston, MA, July 6–8 2016.
58
Michael J. Risbeck, Christos T. Maravelias, James B. Rawlings, and Robert D. Turney.
Closed-loop scheduling for cost minimization in HVAC central plants.
In 4th International High Performance Buildings Conference at Purdue, West Lafayette, IN, July 11–14 2016.
59
Nishith R. Patel, James B. Rawlings, Michael J. Wenzel, and Robert D. Turney.
Design and application of distributed economic model predictive control for large-scale building temperature regulation.
In 4th International High Performance Buildings Conference at Purdue, West Lafayette, IN, July 11-14 2016.
60
Luo Ji and James B. Rawlings.
Application of MHE to large-scale nonlinear processes with delayed lab measurements.
Comput. Chem. Eng., 80:63–72, 2015.
61
Megan A. Zagrobelny and James B. Rawlings.
Practical improvements to autocovariance least-squares.
AIChE J., 61(6):1840–1855, 2015.
62
Lars Norbert Petersen, John Bagterp Jørgensen, and James B. Rawlings.
Economic optimization of spray dryer operation using nonlinear model predictive control with state estimation.
In ADCHEM 2015, International Symposium on Advanced Control of Chemical Processes, Whistler, British Columbia, Canada, June 7-10, 2015.
63
Megan A. Zagrobelny and James B. Rawlings.
Identifying the uncertainty structure using maximum likelihood estimation.
In American Control Conference, pages 422–427, Chicago, IL, July 1–3, 2015.
64
Michael J. Risbeck, Christos T. Maravelias, James B. Rawlings, and Robert D. Turney.
Cost optimization of combined building heating/cooling equipment via mixed-integer linear programming.
In American Control Conference, pages 1689–1694, Chicago, IL, July 1–3, 2015.
65
Gabriele Pannocchia, James B. Rawlings, David Q. Mayne, and Guilio Mancuso.
Whither discrete time model predictive control?
IEEE Trans. Auto. Cont., 60(1):246–252, Jan 2015.
66
James B. Rawlings.
Moving horizon estimation.
In Tariq Samad and John Baillieul, editors, Encyclopedia of Systems and Control. Springer-Verlag, London, 2014.
67
Matthias A. Müller, David Angeli, Frank Allgöwer, Rishi Amrit, and James B. Rawlings.
Convergence in economic model predictive control with average constraints.
Automatica, 50(12):3100–3111, 2014.
68
Ankur Gupta and James B. Rawlings.
Comparison of parameter estimation methods in stochastic chemical kinetic models: Examples in systems biology.
AIChE J., 60:1253–1268, 2014.
69
Kaushik Subramanian, James B. Rawlings, and Christos T. Maravelias.
Economic model predictive for inventory management in supply chains.
Comput. Chem. Eng., 64:71–80, 2014.
70
Rishi Srivastava and James B. Rawlings.
Parameter estimation in stochastic chemical kinetic models using derivative free optimization and bootstrapping.
Comput. Chem. Eng., 63:152–158, 2014.
71
Gabriele Pannocchia, Stephen J. Wright, and James B. Rawlings.
On the use of suboptimal solvers for efficient cooperative distributed linear MPC.
In R. Negenborn and P. Maestre, editors, Distributed MPC Made Easy, pages 553–568. Springer, 2014.
72
Casian Pantea, Ankur Gupta, James B. Rawlings, and Gheorghe Craciun.
The QSSA in chemical kinetics: As taught and as practiced.
In N. Jonoska and S. Masahico, editors, Discrete and Topological Models in Molecular Biology, Natural Computing Series, pages 419–442. Springer Berlin Heidelberg, 2014.
73
Rishi Amrit, James B. Rawlings, and Lorenz T. Biegler.
Optimizing process economics online using model predictive control.
Comput. Chem. Eng., 58:334–343, 2013.
74
Megan A. Zagrobelny, Luo Ji, and James B. Rawlings.
Quis custodiet ipsos custodes?
Annual Rev. Control, 37(2):260–270, 2013.
75
Fernando V. Lima, Murali R. Rajamani, Tyler A. Soderstrom, and James B. Rawlings.
Covariance and state estimation of weakly observable systems: Application to polymerization processes.
IEEE Trans. Cont. Sys. Tech., 21(4):1249–1257, Jul 2013.
76
Gabriele Pannocchia, David Q. Mayne, James B. Rawlings, and Guilio Mancuso.
A parsimonious algorithm for the solution of continuous-time constrained LQR problems with guaranteed convergence.
In Proceedings of 2013 European Control Conference, Zurich, Switzerland, 2013.
77
Rishi Srivastava, David F. Anderson, and James B. Rawlings.
Comparison of finite difference based methods to obtain sensitivities of stochastic chemical kinetic models.
J. Chem. Phys., 138:074110:1–10, 2013.
78
Kaushik Subramanian, James B. Rawlings, Christos T. Maravelias, Jesus Flores-Cerrillo, and Lawrence Megan.
Integration of control theory and scheduling methods for supply chain management.
Comput. Chem. Eng., 51:4–20, Apr 2013.
79
James B. Rawlings and Luo Ji.
Optimization-based state estimation: Current status and some new results.
J. Proc. Cont., 22:1439–1444, 2012.
80
James B. Rawlings, David Angeli, and Cuyler Bates.
Fundamentals of economic model predictive control.
In IEEE Conference on Decision and Control (CDC), pages 3851–3861, Maui, HI, Dec 2012.
81
David Angeli, Rishi Amrit, and James B. Rawlings.
On average performance and stability of economic model predictive control.
IEEE Trans. Auto. Cont., 57(7):1615–1626, 2012.
82
Kaushik Subramanian, Christos T. Maravelias, and James B. Rawlings.
A state-space model for chemical production scheduling.
Comput. Chem. Eng., 47:97–110, Dec 2012.
83
Rishi Amrit, James B. Rawlings, and David Angeli.
Economic optimization using model predictive control with a terminal cost.
Annual Rev. Control, 35:178–186, 2011.
84
David Angeli, Rishi Amrit, and James B. Rawlings.
Enforcing convergence in nonlinear economic MPC.
In IEEE Conference on Decision and Control (CDC), Orlando, FL, 2011.
85
Gabriele Pannocchia, James B. Rawlings, and Stephen J. Wright.
Inherently robust suboptimal nonlinear MPC: theory and application.
In Proceedings of 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), pages 3398–3403, Orlando, FL (USA), 2011.
86
John B. Jørgensen, Jakob K. Huusom, and James B. Rawlings.
Finite horizon MPC for systems in innovation form.
In IEEE Conference on Decision and Control (CDC), pages 1896–1903, Orlando, FL, 2011.
87
Gabriele Pannocchia, James B. Rawlings, and Stephen J. Wright.
Partial enumeration MPC: Robust stability results and application to an unstable CSTR.
J. Proc. Cont., 21:1459–1466, 2011.
88
James B. Rawlings and David Q. Mayne.
Postface to: Model predictive control: Theory and design, 2011.
http://jbrwww.che.wisc.edu/home/jbraw/mpc/postface.pdf.
89
Gabriele Pannocchia, James B. Rawlings, and Stephen J. Wright.
Conditions under which suboptimal nonlinear MPC is inherently robust.
Sys. Cont. Let., 60:747–755, 2011.
90
Rishi Srivastava, Eric L. Haseltine, Ethan A. Mastny, and James B. Rawlings.
The stochastic quasi-steady-state assumption: Reducing the model but not the noise.
J. Chem. Phys., 134:154109:1–10, 2011.
91
Gabriele Pannocchia, James B. Rawlings, and Stephen J. Wright.
Conditions under which suboptimal nonlinear MPC is inherently robust.
In 18th IFAC World Congress, Milan, Italy, Sep 2011.
92
Antonio Ferramosca, James B. Rawlings, Daniel Limon, and Eduardo F. Camacho.
Cooperative distributed MPC for tracking.
In 18th IFAC World Congress, Milan, Italy, Sep 2011.
93
Brett T. Stewart, Stephen J. Wright, and James B. Rawlings.
Cooperative distributed model predictive control for nonlinear systems.
J. Proc. Cont., 21:698–704, 2011.
94
Fernando V. Lima and James B. Rawlings.
Nonlinear stochastic modeling to improve state estimation in process monitoring and control.
AIChE J., 57:996–1007, 2011.
95
Moritz Diehl, Rishi Amrit, and James B. Rawlings.
A Lyapunov function for economic optimizing model predictive control.
IEEE Trans. Auto. Cont., 56(3):703–707, 2011.
96
Antonio Ferramosca, James B. Rawlings, Daniel Limon, and Eduardo F. Camacho.
Economic MPC for a changing economic criterion.
In IEEE Conference on Decision and Control (CDC), pages 6131–6136, Atlanta, GA, 2010.
97
Brett T. Stewart, Aswin N. Venkat, James B. Rawlings, Stephen J. Wright, and Gabriele Pannocchia.
Cooperative distributed model predictive control.
Sys. Cont. Let., 59:460–469, 2010.
98
Gabriele Pannocchia, James B. Rawlings, David Q. Mayne, and Wolfgang Marquardt.
On computing the solutions to the continuous time constrained linear quadratic regulator.
IEEE Trans. Auto. Cont., 55(9):2192–2198, 2010.
99
David Angeli and James B. Rawlings.
Receding horizon cost optimization and control for nonlinear plants.
In 8th IFAC Symposium on Nonlinear Control Systems (NOLCOS), Bologna, Italy, Sep 2010.
100
Brett T. Stewart, James B. Rawlings, and Stephen J. Wright.
Hierarchical cooperative distributed model predictive control.
In American Control Conference, pages 3963–3968, Baltimore, Maryland, Jun 2010.
101
David Angeli, Rishi Amrit, and James B. Rawlings.
Receding horizon cost optimization for overly constrained nonlinear plants.
In IEEE Conference on Decision and Control (CDC), Shanghai, China, Dec 2009.
102
Sebastian Hensel, James B. Rawlings, and John Yin.
Stochastic kinetic modeling of vesicular stomatitis virus intracellular growth.
Bull. Math. Biol., 71:1671–692, 2009.
103
Paul A. Larsen and James B. Rawlings.
The potential of current high-resolution imaging-based particle size distribution measurements for crystallization monitoring.
AIChE J., 55(4):896–905, Apr 2009.
104
Paul A. Larsen and James B. Rawlings.
Assessing the reliability of particle number density measurements obtained by image analysis.
Part. Part. Syst. Charact., 25(5–6):420–433, Feb 2009.
105
Murali R. Rajamani, James B. Rawlings, and S. Joe Qin.
Achieving state estimation equivalence for misassigned disturbances in offset-free model predictive control.
AIChE J., 55(2):396–407, Feb 2009.
106
Murali R. Rajamani and James B. Rawlings.
Estimation of the disturbance structure from data using semidefinite programming and optimal weighting.
Automatica, 45:142–148, 2009.
107
Gabriele Pannocchia, Stephen J. Wright, Brett T. Stewart, and James B. Rawlings.
Efficient cooperative distributed MPC using partial enumeration.
In ADCHEM 2009, International Symposium on Advanced Control of Chemical Processes, Istanbul, Turkey, July 12-15, 2009.
108
Gabriele Pannocchia, James B. Rawlings, David Q. Mayne, and Wolfgang Marquardt.
Computation of the infinite horizon continuous time constrained linear quadratic regulator.
In ADCHEM 2009, International Symposium on Advanced Control of Chemical Processes, Istanbul, Turkey, July 12-15, 2009.
109
Lynn Würth, James B. Rawlings, and Wolfgang Marquardt.
Economic dynamic real-time optimization and nonlinear model-predictive control on infinite horizons.
In ADCHEM 2009, International Symposium on Advanced Control of Chemical Processes, Istanbul, Turkey, July 12-15, 2009.
110
James B. Rawlings and Rishi Amrit.
Optimizing process economic performance using model predictive control.
In Lalo Magni, Davide Martino Raimondo, and Frank Allgöwer, editors, Nonlinear Model Predictive Control, volume 384 of Lecture Notes in Control and Information Sciences, pages 119–138, Berlin, 2009. Springer.
111
Aswin N. Venkat, Ian A. Hiskens, James B. Rawlings, and Stephen J. Wright.
Distributed MPC strategies with application to power system automatic generation control.
IEEE Ctl. Sys. Tech., 16(6):1192–1206, Nov 2008.
112
Eric L. Haseltine, John Yin, and James B. Rawlings.
Implications of decoupling the intracellular and extracellular levels in multi-level simulations of virus infections.
Biotech. Bioeng., 101(4):811–820, 2008.
113
James B. Rawlings, Dennis Bonné, John B. Jørgensen, Aswin N. Venkat, and Sten Bay Jørgensen.
Unreachable setpoints in model predictive control.
IEEE Trans. Auto. Cont., 53(9):2209–2215, Oct 2008.
114
James B. Rawlings and Brett T. Stewart.
Coordinating multiple optimization-based controllers: New opportunities and challenges.
J. Proc. Cont., 18:839–845, 2008.
115
Eric L. Haseltine, Vy Lam, John Yin, and James B. Rawlings.
Image-guided modeling of virus growth and spread.
Bull. Math. Biol., 70(6):1730–1748, 2008.
116
Ethan A. Mastny, Eric L. Haseltine, and James B. Rawlings.
Two classes of quasi-steady-state model reductions for stochastic kinetics.
J. Chem. Phys., 127(9):094106, Sep 2007.
117
Aswin N. Venkat, James B. Rawlings, and Stephen J. Wright.
Distributed model predictive control of large-scale systems.
In Assessment and Future Directions of Nonlinear Model Predictive Control, pages 591–605. Springer, 2007.
118
Scott A. Middlebrooks and James B. Rawlings.
Model predictive control of Si-Ge thin film chemical vapor deposition.
IEEE Trans. Semicond. Manuf., 20(2):114–125, May 2007.
119
Gabriele Pannocchia, James B. Rawlings, and Stephen J. Wright.
Fast, large-scale model predictive control by partial enumeration.
Automatica, 43:852–860, 2007.
120
Paul A. Larsen, James B. Rawlings, and Nicola J. Ferrier.
Model-based object recognition to measure crystal size and shape distributions from in situ video images.
Chem. Eng. Sci., 62:1430–1441, 2007.
121
Zhuang Wu, Murali R. Rajamani, James B. Rawlings, and Jakob Stoustrup.
Application of autocovariance least-squares method for model predictive control of hybrid ventilation in livestock stable.
In American Control Conference, New York, USA, July 11-13 2007.
122
Murali R. Rajamani and James B. Rawlings.
Improved state estimation using a combination of moving horizon estimator and particle filters.
In American Control Conference, New York, USA, July 11-13 2007.
123
Zhuang Wu, Murali R. Rajamani, James B. Rawlings, and Jakob Stoustrup.
Model predictive control of thermal comfort and indoor air quality in livestock stable.
In European Control Conference, Kos, Greece, 2-5 July 2007.
124
K. Doshi, Aswin N. Venkat, Ravindra D. Gudi, and James B. Rawlings.
An iterative, direct closed-loop identification method for model refinement: Application to interaction estimation.
In DYCOPS, Cancun, Mexico, Jun 2007.
125
Ethan A. Mastny, Eric L. Haseltine, and James B. Rawlings.
Stochastic simulation of catalytic surface reactions in the fast diffusion limit.
J. Chem. Phys., 125(19):194715, Nov 2006.
126
Scott A. Middlebrooks and James B. Rawlings.
State estimation approach for determining composition and growth rate of Si$_{1-x}$Ge$_x$ chemical vapor deposition utilizing real-time ellipsometric measurements.
Applied Opt., 45(27):7043–7055, 2006.
127
Ravindra D. Gudi and James B. Rawlings.
Identification for Decentralized Model Predictive Control.
AIChE J., 52(6):2198–2210, 2006.
128
Aswin N. Venkat, James B. Rawlings, and Stephen J. Wright.
Implementable distributed model predictive control with guaranteed performance properties.
In American Control Conference, Minneapolis, Minnesota, June 14-16 2006.
129
James B. Rawlings and Bhavik R. Bakshi.
Particle filtering and moving horizon estimation.
Comput. Chem. Eng., 30:1529–1541, 2006.
130
Paul A. Larsen, James B. Rawlings, and Nicola J. Ferrier.
An algorithm for analyzing noisy, in situ images of high-aspect-aspect ratio crystals to monitor particle size distribution.
Chem. Eng. Sci., 61(16):5236–5248, 2006.
131
Paul A. Larsen, Daniel B. Patience, and James B. Rawlings.
Industrial crystallization process control.
IEEE Ctl. Sys. Mag., 26(4):70–80, Aug 2006.
132
Brian J. Odelson, Alexander Lutz, and James B. Rawlings.
The autocovariance least-squares methods for estimating covariances: Application to model-based control of chemical reactors.
IEEE Ctl. Sys. Tech., 14(3):532–541, May 2006.
133
Aswin N. Venkat, Ian A. Hiskens, James B. Rawlings, and Stephen J. Wright.
Distributed MPC strategies for Automatic Generation Control.
In IFAC Symposium on Power Plants and Power Systems Control, Kananaskis, Canada, June 25-28 2006.
134
Aswin N. Venkat, Ian A. Hiskens, James B. Rawlings, and Stephen J. Wright.
Distributed output feedback MPC for power system control.
In IEEE Conference on Decision and Control CDC, San Diego, California, December 13-15 2006.
135
Murali R. Rajamani, James B. Rawlings, S. Joe Qin, and James J. Downs.
Equivalence of MPC disturbance models identified from data.
In Chemical Process Control 7, Lake Louise, Alberta, Canada, Jan 2006.
136
Gabriele Pannocchia, James B. Rawlings, and Stephen J. Wright.
A partial enumeration strategy for fast large-scale linear model predictive control.
In Chemical Process Control 7, Lake Louise, Alberta, Canada, Jan 2006.
137
Brian J. Odelson, Murali R. Rajamani, and James B. Rawlings.
A new autocovariance least-squares method for estimating noise covariances.
Automatica, 42(2):303–308, Feb 2006.
138
Eric L. Haseltine and James B. Rawlings.
On the origins of approximations for stochastic chemical kinetics.
J. Chem. Phys., 123(16):Art. No. 164115, Oct 2005.
139
Eric L. Haseltine, James B. Rawlings, and John Yin.
Dynamics of viral infections: Incorporating both the intracellular and extracellular levels.
Comput. Chem. Eng., 29:675–686, 2005.
140
James B. Rawlings and Babatunde A. Ogunnaike.
Preface to W. Harmon Ray festschrift.
Ind. Eng. Chem. Res., 44(8):2349–2350, Apr 2005.
141
Eric L. Haseltine and James B. Rawlings.
Critical evaluation of extended Kalman filtering and moving horizon estimation.
Ind. Eng. Chem. Res., 44(8):2451–2460, Apr 2005.
142
Aswin N. Venkat, James B. Rawlings, and Stephen J. Wright.
Stability and optimality of distributed model predictive control.
In CDC-ECC Joint Conference, Seville, Spain, 2005.
143
Ethan A. Mastny, James B. Rawlings, and Yannis G. Kevrekidis.
Model-based control methodologies for catalytic surface reactions.
In American Control Conference, Portland, Oregon, Jun 2005.
144
Eric L. Haseltine, Daniel B. Patience, and James B. Rawlings.
On the stochastic simulation of particulate systems.
Chem. Eng. Sci., 60(10):2627–2641, 2005.
145
Gabriele Pannocchia, Nabil Laachi, and James B. Rawlings.
A candidate to replace PID control: SISO constrained LQ control.
AIChE J., 51(4):1171–1189, Apr 2005.
146
Matthew J. Tenny, James B. Rawlings, and Stephen J. Wright.
Closed-loop behavior of nonlinear model predictive control.
AIChE J., 50(9):2142–2154, Sep 2004.
147
Daniel B. Patience, Philip. C. Dell'Orco, and James B. Rawlings.
Optimal operation of a seeded pharmaceutical crystallization with growth-dependent dispersion.
Org. Process Res. Dev., 8(4):609–615, 2004.
148
Matthew J. Tenny, Stephen J. Wright, and James B. Rawlings.
Nonlinear model predictive control via feasibility-perturbed sequential quadratic programming.
Comp. Optim. Appl., 28(1):87–121, Apr 2004.
149
Yiyang Wang and James B. Rawlings.
A new robust model predictive control method. I: Theory and computation.
J. Proc. Cont., 14:231–247, 2004.
150
Yiyang Wang and James B. Rawlings.
A new robust model predictive control method. II: Examples.
J. Proc. Cont., 14:249–262, 2004.
151
John B. Jørgensen, James B. Rawlings, and Sten Bay Jørgensen.
Numerical methods for large-scale moving horizon estimation and control.
In DYCOPS, Boston, MA, Jul 2004.
152
Aswin N. Venkat, James B. Rawlings, and Stephen J. Wright.
Plant-wide optimal control with decentralized MPC.
In DYCOPS, Boston, MA, Jul 2004.
153
Gabriele Pannocchia, Nabil Laachi, and James B. Rawlings.
A fast, easily tuned, SISO, model predictive controller.
In DYCOPS, Boston, MA, Jul 2004.
154
Ravindra D. Gudi, James B. Rawlings, Aswin N. Venkat, and N. Jabbar.
Identification for decentralized MPC.
In DYCOPS, Boston, MA, Jul 2004.
155
Rahul Bindlish and James B. Rawlings.
Target linearization and model predictive control of polymerization processes.
AIChE J., 49(11):2885–2899, Nov 2003.
156
Rahul Bindlish, James B. Rawlings, and Robert E. Young.
Parameter estimation for industrial polymerization processes.
AIChE J., 49(8):2071–2078, Aug 2003.
157
Gabriele Pannocchia, Stephen J. Wright, and James B. Rawlings.
Existence and computation of infinite horizon model predictive control with active steady-state input constraints.
IEEE Trans. Auto. Cont., 48(6):1002–1006, Jun 2003.
158
Brian J. Odelson and James B. Rawlings.
Online monitoring of MPC disturbance models from closed-loop data.
In American Control Conference, pages 2714–2719, Denver, Colorado, Jun 2003.
159
Christopher V. Rao, James B. Rawlings, and David Q. Mayne.
Constrained state estimation for nonlinear discrete-time systems: Stability and moving horizon approximations.
IEEE Trans. Auto. Cont., 48(2):246–258, Feb 2003.
160
Gabriele Pannocchia and James B. Rawlings.
Disturbance models for offset-free model predictive control.
AIChE J., 49(2):426–437, Feb 2003.
161
John W. Eaton and James B. Rawlings.
Ten years of Octave — recent developments and plans for the future.
In Kurt Hornik and Fritz Leisch, editors, 3rd International Workshop on Distributed Statistical Computing, Vienna, Austria, Mar 2003.
162
Eric L. Haseltine and James B. Rawlings.
Approximate simulation of coupled fast and slow reactions for stochastic chemical kinetics.
J. Chem. Phys., 117(15):6959–6969, Oct 2002.
163
Matthew J. Tenny and James B. Rawlings.
Efficient moving horizon estimation and nonlinear model predictive control.
In American Control Conference, pages 4475–4480, Anchorage, Alaska, May 2002.
164
Christopher V. Rao and James B. Rawlings.
Constrained process monitoring: A moving horizon approach.
AIChE J., 48(1):97–109, Jan 2002.
165
Daniel B. Patience, James B. Rawlings, and Hazim A. Mohameed.
Crystallization of para-xylene in scraped-surface crystallizers.
AIChE J., 47(11):2441–2451, Nov 2001.
166
Daniel B. Patience and James B. Rawlings.
Particle-shape monitoring and control in crystallization processes.
AIChE J., 47(9):2125–2130, Sep 2001.
167
Christopher V. Rao, James B. Rawlings, and Jay H. Lee.
Constrained linear state estimation – a moving horizon approach.
Automatica, 37(10):1619–1628, 2001.
168
David Q. Mayne and James B. Rawlings.
Correction to “Constrained model predictive control: stability and optimality”.
Automatica, 37(3):483, 2001.
169
Matthew J. Tenny, James B. Rawlings, and Rahul Bindlish.
Feasible real-time nonlinear model predictive control.
In James B. Rawlings, Babatunde A. Ogunnaike, and John W. Eaton, editors, Chemical Process Control–VI: Sixth International Conference on Chemical Process Control, pages 433–437, Tucson, Arizona, Jan 2001. AIChE Symposium Series, Volume 98, Number 326.
170
James B. Rawlings.
Tutorial overview of model predictive control.
IEEE Ctl. Sys. Mag., 20(3):38–52, Jun 2000.
171
David Q. Mayne, James B. Rawlings, Christopher V. Rao, and Pierre O.M. Scokaert.
Constrained model predictive control: Stability and optimality.
Automatica, 36(6):789–814, 2000.
172
Christopher V. Rao and James B. Rawlings.
Linear programming and model predictive control.
J. Proc. Cont., 10:283–289, 2000.
173
Christopher V. Rao and James B. Rawlings.
Nonlinear moving horizon estimation.
In Frank Allgöwer and Alex Zheng, editors, Nonlinear Model Predictive Control, volume 26 of Progress in Systems and Control Theory, pages 45–69, Basel, 2000. Birkhäuser.
174
James B. Rawlings and Daniel B. Patience.
Authors' reply to letter to the editor.
AIChE J., 45(8):1842–1843, Aug 1999.
175
Pierre O.M. Scokaert and James B. Rawlings.
Feasibility issues in linear model predictive control.
AIChE J., 45(8):1649–1659, Aug 1999.
176
Christopher V. Rao and James B. Rawlings.
Steady states and constraints in model predictive control.
AIChE J., 45(6):1266–1279, Jun 1999.
177
Pierre O.M. Scokaert, David Q. Mayne, and James B. Rawlings.
Suboptimal model predictive control (feasibility implies stability).
IEEE Trans. Auto. Cont., 44(3):648–654, Mar 1999.
178
Frank Allgöwer, Thomas A. Badgwell, S. Joe Qin, James B. Rawlings, and Stephen J. Wright.
Nonlinear predictive control and moving horizon estimation – an introductory overview.
In Paul M. Frank, editor, Advances in Control: Highlights of ECC '99, pages 391–449, London, Sep 1999. Springer.
179
Christopher V. Rao, James B. Rawlings, and Jay H. Lee.
Stability of constrained linear moving horizon estimation.
In American Control Conference, San Diego, CA, pages 3387–3391, June 1999.
180
James B. Rawlings.
Tutorial: Model predictive control technology.
In American Control Conference, San Diego, CA, pages 662–676, June 1999.
181
Christopher V. Rao, Stephen J. Wright, and James B. Rawlings.
On the application of interior point methods to model predictive control.
J. Optim. Theory Appl., 99:723–757, 1998.
182
John C. Campbell and James B. Rawlings.
Predictive control of sheet- and film-forming processes.
AIChE J., 44(8):1713–1723, Aug 1998.
183
Pierre O.M. Scokaert and James B. Rawlings.
Constrained linear quadratic regulation.
IEEE Trans. Auto. Cont., 43(8):1163–1169, Aug 1998.
184
Hazel B. Matthews and James B. Rawlings.
Batch crystallization of a photochemical: Modelling, control and filtration.
AIChE J., 44(5):1119–1127, May 1998.
185
Christopher V. Rao, Stephen J. Wright, and James B. Rawlings.
Efficient interior point methods for model predictive control.
Preprint ANL/MCS-P644-0597, Mathematics and Computer Science Division, Argonne National Laboratory, June 1997.
186
Christopher V. Rao, John C. Campbell, James B. Rawlings, and Stephen J. Wright.
Efficient implementation of model predictive control for sheet and film forming processes.
In American Control Conference, Albuquerque, NM, pages 2940–2944, 1997.
187
Rahul Bindlish, James B. Rawlings, and Robert E. Young.
Parameter estimation in a dynamic model of a copolymerization process.
In American Control Conference, pages 2424–2428, 1997.
188
Pierre O.M. Scokaert and James B. Rawlings.
Optimization problems in model predictive control.
In Lorenz T. Biegler, Thomas F. Coleman, Andrew R. Conn, and Fadil N. Santosa, editors, Large-Scale Optimization with Applications, pages 185–202, New York, 1997. Springer.
189
Pierre O.M. Scokaert and James B. Rawlings.
On infeasibilities in model predictive control.
In Jeffrey C. Kantor, Carlos E. García, and Brice Carnahan, editors, Chemical Process Control–V, pages 331–334. CACHE, AIChE, 1997.
190
Edward S. Meadows and James B. Rawlings.
Model predictive control.
In Michael A. Henson and Dale E. Seborg, editors, Nonlinear Process Control, pages 233–310. Prentice Hall, 1997.
191
Pierre O.M. Scokaert, James B. Rawlings, and Edward S. Meadows.
Discrete-time stability with perturbations: Application to model predictive control.
Automatica, 33(3):463–470, 1997.
192
John C. Campbell and James B. Rawlings.
Identification and control of sheet forming processes.
In IFAC '96 World Congress, San Francisco, California, pages 55–60, July 1–5, 1996.
193
Pierre O.M. Scokaert and James B. Rawlings.
Infinite horizon linear quadratic control with constraints.
In IFAC '96 World Congress, San Francisco, California, volume M, pages 109–114, July 1–5, 1996.
194
Andrew P. Fordyce and James B. Rawlings.
Segregated fermentation model for growth and differentiation of Bacillus licheniformis.
AIChE J., 42(11):3241–3252, Nov 1996.
195
James B. Rawlings and I-Lung Chien.
Gage control of film and sheet-forming processes.
AIChE J., 42(3):753–766, Mar 1996.
196
Hazel B. Matthews, Stephen M. Miller, and James B. Rawlings.
Model identification for crystallization: Theory and experimental verification.
Powder Tech., 88(3):227–235, 1996.
197
Douglas G. Robertson, Jay H. Lee, and James B. Rawlings.
A moving horizon-based approach for least-squares state estimation.
AIChE J., 42(8):2209–2224, Aug 1996.
198
Edward S. Meadows, Michael A. Henson, John W. Eaton, and James B. Rawlings.
Receding horizon control and discontinuous state feedback stabilization.
Int. J. Control, 62(5):1217–1229, 1995.
199
John C. Campbell and James B. Rawlings.
Estimation and control of sheet and film forming processes.
In Irena Lasiecka and Blaise Morton, editors, Control Problems in Industry, pages 43–63, Boston, 1995. SIAM, Birkhäuser.
200
Pierre O.M. Scokaert and James B. Rawlings.
Stability of model predictive control under perturbations.
In IFAC Symposium on Nonlinear Control System Design, Tahoe City, California, pages 21–26, 1995.
201
Edward S. Meadows, Kenneth R. Muske, and James B. Rawlings.
Implementable model predictive control in the state space.
In American Control Conference, pages 3699–3703, 1995.
202
John W. Eaton and James B. Rawlings.
Octave—a high level interactive language for numerical computations.
CACHE News, 40:11–18, Spring 1995.
203
Edward S. Meadows and James B. Rawlings.
Topics in model predictive control.
In Ridvan Berber, editor, Methods of Model Based Process Control, pages 331–347. Kluwer, 1995.
204
Kenneth R. Muske and James B. Rawlings.
Nonlinear moving horizon state estimation.
In Ridvan Berber, editor, Methods of Model Based Process Control, pages 349–365. Kluwer, 1995.
205
Stephen M. Miller and James B. Rawlings.
Model identification and control strategies for batch cooling crystallizers.
AIChE J., 40(8):1312–1327, Aug 1994.
206
James B. Rawlings, Edward S. Meadows, and Kenneth R. Muske.
Nonlinear model predictive control: a tutorial and survey.
In ADCHEM '94, Kyoto, Japan, pages 185–197, 1994.
207
John W. Eaton, James B. Rawlings, and Lyle H. Ungar.
Stability of neural net based model predictive control.
In American Control Conference, pages 2481–2485, 1994.
208
Kenneth R. Muske, Edward S. Meadows, and James B. Rawlings.
The stability of constrained receding horizon control with state estimation.
In American Control Conference, pages 2837–2841, 1994.
209
James B. Rawlings and I-Lung Chien.
Gage control of film and sheet forming processes.
DuPont Accession Report 17944, August 27, 1993.
210
James B. Rawlings and Kenneth R. Muske.
Stability of constrained receding horizon control.
IEEE Trans. Auto. Cont., 38(10):1512–1516, Oct 1993.
211
Edward S. Meadows, Kenneth R. Muske, and James B. Rawlings.
Constrained state estimation and discontinuous feedback in model predictive control.
In European Control Conference, pages 2308–2312, 1993.
212
Kenneth R. Muske, James B. Rawlings, and Jay H. Lee.
Receding horizon recursive state estimation.
In American Control Conference, pages 900–904, 1993.
213
Edward S. Meadows and James B. Rawlings.
Receding horizon control with an infinite horizon.
In American Control Conference, pages 2926–2930, 1993.
214
Kenneth R. Muske and James B. Rawlings.
Linear model predictive control of unstable processes.
J. Proc. Cont., 3(2):85–96, May 1993.
215
James B. Rawlings, Stephen M. Miller, and Walter R. Witkowski.
Model identification and control of solution crystallization processes: a review.
Ind. Eng. Chem. Res., 32(7):1275–1296, Jul 1993.
216
James A. Mullins, James B. Rawlings, and Keith P. Johnston.
Partial derivative quantities from phase equilibria relationships for mixtures.
AIChE J., 39(8):1363–1369, Aug 1993.
217
Kenneth R. Muske and James B. Rawlings.
Model predictive control with linear models.
AIChE J., 39(2):262–287, Feb 1993.
218
James B. Rawlings, Chester W. Sink, and Stephen M. Miller.
Control of crystallization processes.
In Allan S. Myerson, editor, Handbook of Industrial Crystallization, pages 179–207, Boston, 1993. Butterworth–Heinemann.
219
Kenneth R. Muske and James B. Rawlings.
Implementation of a stabilizing constrained receding horizon regulator.
In American Control Conference, pages 1594–1595, 1992.
220
John W. Eaton and James B. Rawlings.
Model predictive control of chemical processes.
Chem. Eng. Sci., 47(4):705–720, 1992.
221
James B. Rawlings, Walter R. Witkowski, and John W. Eaton.
Modelling and control of crystallizers.
Powder Tech., 69(1):3–9, 1992.
222
Thomas F. Edgar and James B. Rawlings.
Process control and dynamics.
In J. J. McKetta, editor, The Encyclopedia of Chemical Processing and Design, volume 42, pages 457–489. Marcel Dekker, 1992.
223
John W. Eaton and James B. Rawlings.
Model predictive control of chemical processes.
In American Control Conference, pages 1790–1795, 1991.
224
Edward S. Meadows and James B. Rawlings.
Model identification and control of a semibatch chemical reactor.
In American Control Conference, pages 249–255, 1991.
225
Lorenz T. Biegler and James B. Rawlings.
Optimization approaches to nonlinear model predictive control.
In Yaman Arkun and W. Harmon Ray, editors, Chemical Process Control–CPCIV, pages 543–571. CACHE, 1991.
226
Walter R. Witkowski and James B. Rawlings.
The interpretation of particle size distribution measurement and its impact on process identification.
In Second World Congress on Particle Technology, pages 486–493, 1990.
227
Edward S. Meadows and James B. Rawlings.
Simultaneous model identification and control of a semi-batch chemical reactor.
In American Control Conference, pages 1656–1657, 1990.
228
Walter R. Witkowski, Stephen M. Miller, and James B. Rawlings.
Light scattering measurements to estimate kinetic parameters of crystallization.
In Allan S. Myerson and Ken Toyokura, editors, Crystallization as a Separations Process, pages 102–114. American Chemical Society, 1990.
229
John W. Eaton and James B. Rawlings.
Feedback control of chemical processes using on-line optimization techniques.
Comput. Chem. Eng., 14(4/5):469–479, 1990.
230
James B. Rawlings.
Analytical solutions of emulsion polymerization models.
AIChE J., 36(4):623–626, Apr 1990.
231
Ashutosh A. Patwardhan, James B. Rawlings, and Thomas F. Edgar.
Nonlinear model predictive control.
Chem. Eng. Commun., 87:123–141, 1990.
232
James B. Rawlings and John W. Eaton.
Optimal control and model identification applied to the Shell standard control problem.
In David M. Prett, Carlos E. Garcí, and Brian L. Ramaker, editors, The Second Shell Process Control Workshop, pages 209–240. Butterworths, 1990.
233
Andrew P. Fordyce, James B. Rawlings, and Thomas F. Edgar.
Control strategies for fermentation processes.
In Daniel R. Omstead, editor, Computer Control of Fermentation Processes, pages 165–206. CRC Press, 1990.
234
James B. Rawlings, Norman F. Jerome, John W. Hamer, and Timothy M. Bruemmer.
End-point control in semi-batch chemical reactors.
In IFAC Symposium on Dynamics and Control of Chemical Reactors, Distillation Columns, and Batch Processes, pages 323–328, 1989.
235
James B. Rawlings, Walter R. Witkowski, and John W. Eaton.
Control issues arising in population balance models.
In American Control Conference, pages 677–682, 1989.
236
Ashutosh A. Patwardhan, James B. Rawlings, and Thomas F. Edgar.
Model predictive control of nonlinear processes in the presence of constraints.
In IFAC/IEEE Symposium on Nonlinear Control Systems Design, pages 456–460, 1989.
237
John W. Eaton, James B. Rawlings, and Thomas F. Edgar.
Model-predictive control and sensitivity analysis for constrained nonlinear processes.
In T. J. McAvoy, Y. Arkun, and E. Zafiriou, editors, IFAC Workshop on Model Based Process Control, pages 129–135, Oxford, 1989. Pergamon Press.
238
Noel H. Bell, Thomas F. Edgar, and James B. Rawlings.
Modeling of a laboratory water-gas shift reaction.
In ISA, pages 475–486, Research Triangle Park, 1988. Instrument Society of America (ISA).
239
James B. Rawlings and W. Harmon Ray.
The modelling of batch and continuous emulsion polymerization reactors. Part I: Model formulation and sensitivity to parameters.
Polymer Eng. & Sci., 28(5):237–256, Mar 1988.
240
James B. Rawlings and W. Harmon Ray.
The modelling of batch and continuous emulsion polymerization reactors. Part II: Comparison with experimental data from continuous stirred tank reactors.
Polymer Eng. & Sci., 28(5):257–274, Mar 1988.
241
James B. Rawlings.
Modelling and control of dispersed phase systems.
In David M. Prett and Manfred Morari, editors, Shell Process Control Workshop, pages 183–211. Butterworths, 1987.
242
Walter R. Witkowski and James B. Rawlings.
Modelling and control of crystallizers.
In American Control Conference, pages 1400–1405, 1987.
243
James B. Rawlings and W. Harmon Ray.
Emulsion polymerization reactor stability: Simplified model analysis.
AIChE J., 33(10):1663–1677, Oct 1987.
244
James B. Rawlings and W. Harmon Ray.
Stability of continuous emulsion polymerization reactors: a detailed model analysis.
Chem. Eng. Sci., 42(11):2767–2777, 1987.
245
James B. Rawlings, John C. Prindle, and W. Harmon Ray.
Better understanding of emulsion polymerization reactor behavior through detailed mathematical modelling.
In K. H. Reichert and W. Geiseler, editors, Polymer Reaction Engineering, pages 1–17. Hüthig & Wepf Publishing, New York, 1986.
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