Session: Advances in Process Control II (2009 Annual Meeting)

Description:

This session emphasizes papers that address recent advances in process control, with highlights on contributions that advance the state of the art on real-time control of batch process systems. Priority will be given to papers that present novel theories, innovative control strategies, or the definition of new process-control areas. The scope of the session topics includes (1) modeling and simulation for process control purposes, (3) advances in real-time control algorithms and techniques, such as run-to-run and predictive control, for example, (4) integration of batch-process modeling, control, and optimization, (5) novel methods for batch process control, (6) real-time control for agile batch manufacturing, and (7) plant-wide control. Application areas of particular interest include the control of microelectronic, pharmaceutical, and bioengineering batch processes. Papers on the topic of optimization and scheduling of batch processing operations will be considered only if the contribution contains a real-time control component.

Sponsor:

Systems and Process Control

Chair:

Oscar D. Crisalle
Professor
University of Florida
Chemical Engineering
Room 237, CHE PO Box 116005
Gainesville, FL 32611-6005
Phone Number: (352) 392-5120
Email: crisalle@che.ufl.edu

Co-Chair:

Michael Baldea

Papers:

438a

Simultaneous Optimal Control and Design of Batch Process Networks
Florian Habla, UCLA; Vasilios I. Manousiouthakis, UCLA

438b

Near-Optimal Control of Batch Processes by Tracking of Approximated Sufficient Conditions of Optimality for Dynamic Optimization
Håkon Dahl-Olsen, Norwegian University of Science and Technology; Sigurd Skogestad, Norwegian University of Science and Technology

438c

A Novel MPC Strategy by Adapting Disturbance Models
Zhijie Sun, University of Southern California; S. Joe Qin, University of Southern California; Ashish Singhal, Praxair; Larry Megan, Praxair

438d

Identification and Control for Optimizing Building Energy Demand
S. Joe Qin, University of Southern California; Bo Li, University of Southern California; Tim Salsbury, Johnson Controls

438e

Stochastic Optimal Control of Batch Distillation for Biodiesel Production
Sheraz Abbasi, University of Illinois at Chicago; Urmila Diwekar, University of Illinois at Chicago

438f

Modeling and Control of An Experimental Reverse Osmosis Water Desalination System
Alex Bartman, University of California Los Angeles; Panagiotis D. Christofides, University of California, Los Angeles; Yoram Cohen, University of California, Los Angeles

438g

Fundamentals Based Low-Dimensional Combustion Models for Control and Optimization of IC Engines
Pankaj Kumar, University of Houston; Matthew Franchek, University of Houston; Karolos Grigoriadis, University of Houston; Vemuri Balakotaiah, University of Houston

See more of this Group/Topical: Computing and Systems Technology Division

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