681 Predictive Control and Optimization II


Description:
This session seeks contributions on optimization-based predictive control. Topics on representing economic objectives, economic-based controller formulations, performance of strategies incorporating economics, and the interplay between competing control objectives are of high interest.

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:
Fernando V. Lima
Assistant Professor
West Virginia University
Department of Chemical and Biomedical Engineering
Morgantown, WV
Fax Number: 304-293-4139
Email: Fernando.Lima@mail.wvu.edu


Papers:
681a
Safe Economic Model Predictive Control of Nonlinear Systems
Zhe Wu, University of California, Los Angeles; Helen Durand, Wayne State University; Panagiotis D. Christofides, University of California, Los Angeles
681b
Improving Flexibility and Energy Efficiency of a Post-Combustion CO2 Capture Process Using Economic Model Predictive Control
Benjamin Decardi-Nelson, University of Alberta; Su Liu, University of Alberta; Jinfeng Liu, University of Alberta
681c
Towards on-Line Development of Physically-Based Models for Model-Based Control Design
Laura Giuliani, University of Study of L'Aquila; Helen Durand, Wayne State University
681d
Data Driven Economic Model Predictive Control for Unstable Systems
Masoud Kheradmandi, McMaster University; Prashant Mhaskar, McMaster University
681e
Incorporation of Sustainability and Economic Considerations in Process Control of Hydraulic Fracturing in Unconventional Reservoirs
Priscille Etoughe, Texas A&M Energy Institute, Texas A&M University; Prashanth Siddhamshetty, Texas A&M Energy Institute, Texas A&M University; Kaiyu Cao, Texas A&M University; Rajib Mukherjee, Gas and Fuels Research Center, Texas A&M Engineering Experiment Station; Joseph Sangil Kwon, Texas A&M University
681f
Multi-Objective Optimization of the Energy System in an Iron and Steel Plant Considering the Economic Cost and Life Cycle Environmental Impact
Yujiao Zeng, Institute of Process Engineering, Chinese Academy of Sciences; Jie Li, The University of Manchester; Xin Xiao, Institute of Process Engineering, Chinese Academy of Sciences; Fei Song, Institute of Process Engineering, Chinese Academy of Sciences; Yaling Nie, University of Chinese Academy of Sciences; Min Zhu, Institute of Process Engineering, Chinese Academy of Sciences
681g
Model Predictive Control with Active Learning Under Model Uncertainty
Tor Aksel N. Heirung, University of California - Berkeley; Ali Mesbah, University of California - Berkeley
681h
A Modified SQP Method for MPC of a Supercritical Pulverized Coal-Fired Power Plant during Cycling
Xin He, West Virginia University; Fernando V. Lima, West Virginia University
Abstract Submissions Closed
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