712 Economics and Process Control


Description:
This session focuses on the representation and incorporation of economic objectives into feedback control strategies. Topics on representing economic objectives, economic-based controller formulations, performance of strategies incorporating economics, and the interplay between competing control objectives are considered. Papers offering insights into other aspects of economics-based controls are also encouraged.

Sponsor:
Systems and Process Control


Chair:
Ravendra Singh
Assistant Research Professor
Rutgers, The State University of New Jersey
Department of Chemical and Biochemical Engineering
98 Brett Road
Piscataway, NJ
08854
Fax Number: +17324452581
Email: ravendra.singh@rutgers.edu

Co-Chair:
Cory Jensen
Colorado School of Mines
Division of Engineering
888 1st Street NE
Golden, CO
20426
Phone Number: 202-230-3223
Email: cory.jensen@alumni.colostate.edu


Papers:
712a
Economic Nonlinear Model Predictive Control of Continuous Pharmaceuticals Manufacturing Processes
Michael Shoham Patrascu, Massachusetts Institute of Technology; Aditya Tulsyan, Massachusetts Institute of Technology; Paul I. Barton, Massachusetts Institute of Technology
712b
A Scheduling Perspective on the Monetary Value of Improving Process Control
Joseph Costandy, The University of Texas at Austin; Thomas F. Edgar, McKetta Department of Chemical Engineering, The University of Texas at Austin; Michael Baldea, The University of Texas at Austin
712c
A Computationally Efficient Approach to Economic Model Predictive Control Via Carleman Approximation
Yizhou Fang, The Pennsylvania State University; Antonios Armaou, Pennsylvania State University
712d
Handling Economic and Practical Considerations in Feedback Control of Hydraulic Fracturing in Ultra-Low Permeability Reservoirs
Prashanth Siddhamshetty, Texas A&M University; Shuai Liu, Texas A&M University; Joseph Sangil Kwon, Texas A&M University; Peter P. Valkó, Texas A&M University
712e
Integrating RTO with Stabilizing Economic MPC
Douglas A. Allan, University of Wisconsin Madison; James B. Rawlings, University of Wisconsin-Madison
712f
Combining Self-Optimizing Control and Extremum-Seeking Control – Applied to Ammonia Reactor Case Study
Dinesh Krishnamoorthy, Norwegian University of Science and Technology; Julian Straus, Norwegian University of Science and Technology; Sigurd Skogestad, Norwegian University of Science and Technology
712g
Combining First-Principles and Empirical Modeling for Computation Time Reduction of Economic Model Predictive Control
Helen Durand, University of California, Los Angeles; Panagiotis D. Christofides, University of California, Los Angeles
712h
Economic Performance Improvement for Lyapunov-Based Economic Model Predictive Control Using Disturbance Probability Distributions
Fahad Albalawi, University of California, Los Angeles; Zhe Wu, University of California, Los Angeles; Zhihao Zhang, University of California, Los Angeles; Helen Durand, University of California, Los Angeles; Panagiotis D. Christofides, University of California, Los Angeles
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division
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