359 Predictive Control and Optimization I


Description:
We seek contributions on new formulations of optimization-based predictive control, as well as novel solution algorithms.

Sponsor:
Systems and Process Control
Co-Sponsor(s):
Computers in Operations and Information Processing (10C)


Chair:
Jin Wang
Auburn University
Chemical Engineering
Auburn, AL
36849
Fax Number: 334-844-2063
Email: wang@auburn.edu

Co-Chair:
Xiaonan Wang
Assistant Professor
National University of Singapore
Department of Chemical and Biomolecular Engineering
singapore
Phone Number: +6566016221
Email: chewxia@nus.edu.sg


Papers:
359a
Optimization-Based Predictive Control of Networked Process Systems with Discrete and Delayed Sensor-Controller Communication
Da Xue, University of California, Davis; Nael H. El-Farra, University of California, Davis
359b
Stochastic-Tube MPC for Offset-Free Tracking in the Presence of Plant-Model Mismatch
Joel Paulson, University of California - Berkeley; Tito Santos, Universidade Federal da Bahia; Ali Mesbah, University of California - Berkeley
359c
An Efficient Distributed Algorithm for Multistage Scenario Model Predictive Control Using Primal Decomposition
Dinesh Krishnamoorthy, Norwegian University of Science and Technology; Eka Suwartadi, Norwegian University of Science and Technology; Sigurd Skogestad, Norwegian University of Science and Technology; Johannes Jäschke, Norwegian University of Science and Technology
359d
Approximate Dynamic Programming Based Control of Hydraulic Fracturing Process to Achieve Uniform Proppant Concentration Level
Harwinder Singh Sidhu, Texas A&M University; Prashanth Siddhamshetty, Texas A&M University; Abhinav Narasingam, Texas A&M University; Joseph Sangil Kwon, Texas A&M University
359e
Advanced-Step Multistage Nonlinear Model Predictive Control
Zhou (Joyce) Yu, Carnegie Mellon University; Lorenz T. Biegler, Carnegie Mellon University
359f
Decomposition of Optimization Problems Using Community Detection and Its Application in Nonlinear Model Predictive Control
Wentao Tang, University of Minnesota, Twin Cities; Andrew Allman, University of Minnesota, Twin Cities; Davood Babaei Pourkargar, University of Minnesota, Twin Cities; Prodromos Daoutidis, University of Minnesota
359g
Safeness Index-Based Economic Model Predictive Control of Stochastic Nonlinear Systems
Zhe Wu, University of California, Los Angeles; Helen Durand, Wayne State University; Panagiotis D. Christofides, University of California, Los Angeles
359h
Dual Offset Blocking Strategy for Computationally-Efficient Model Predictive Control
Sang Hwan Son, Seoul National University; Jong Min Lee, Seoul National University
Abstract Submissions Closed
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