Session: Optimization and Predictive Control II (2012 Annual Meeting)

Description:

Focuses on Optimization and Predictive Control. It replaces the control for smart manufacturing session that was cancelled.

Sponsor:

Systems and Process Control

Chair:

Donald J. Chmielewski
Assistant Professor
Illinois Institute of Technology
Suite 127, Perlstein Hall
Chicago, IL 60616
Email: chmielewski@iit.edu

Co-Chair:

Prashant Mhaskar
Assistant Professor
McMaster University
Department of Chemical Engineering
Hamilton, ON L8S 4L7
Email: mhaskar@mcmaster.ca

Papers:

Introductory Remarks

713a

Development of a Parallel Predictive Control Algorithm for Complex Processes with Multiscale Objectives
Antonios Armaou, The Pennsylvania State University; Stevan D. Wilson, The Pennsylvania State University

713b

Self-Optimizing Control Using the Sensitivity Features of SIpopt
Johannes Jäschke, Norwegian University of Science and Technology; Lorenz T. Biegler, Carnegie Mellon University; Sigurd Skogestad, Norwegian University of Science and Technology

713c

Nonlinear Model Predictive Control of a Thermal Oxidizer System
Reza Asgharzadeh Shishavan, Brigham Young University; John D. Hedengren, Brigham Young University

713d

Discrete Mechanics Optimal Control (DMOC) and Model Predictive Control (MPC) Synthesis for 3D Spatial Actuation
Yu Yang, University of Alberta; Stevan Dubljevic, University of Alberta

713e

Application of Linear Multiple Model Predictive Control (MMPC) Framework towards Dynamic Maximization of Oxygen Yield in an Elevated-Pressure Air Separation Unit
Priyadarshi Mahapatra, National Energy Technology Laboratory; Stephen E. Zitney, National Energy Technology Laboratory; B. Wayne Bequette, Rensselaer Polytechnic Institute

713f

Integrated Continuous-Flow System for Automated Online Optimization of Chemical Synthesis
Nikolay Zaborenko, Eli Lilly and Company; Marc Champagne, Eli Lilly; Wei-Ming Sun, Eli Lilly &Co., Inc.; Michael T. Miller, Eli Lilly & Co.; Todd D. Maloney, Eli Lilly & Co.; Edward Sheldon, Eli Lilly & Co.

713g

A New Extended Prediction Self-Adaptive Control (EPSAC) Strategy for Batch Control
Qing Lin Su, National University of Singapore; Martin W. Hermanto, Institute of Chemical and Engineering Sciences; Richard D. Braatz, Massachusetts Institute of Technology; Min-Sen Chiu, National University of Singapore

Concluding Remarks

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

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