This preliminary program is subject to change.

Optimization and Predictive Control I


Description:
This session seeks papers addressing advances in optimization in connection with predictive control.

Sponsor:
Systems and Process Control


Chair:
Donald J. Chmielewski
Illinois Institute of Technology
Chemical and Biological Engineering
Chicago, IL 60616
Phone Number: 312-567-3537
Email: chmielewski@iit.edu

Co-Chair:
Prashant Mhaskar
McMaster University
Chemical Engineering
Hamilton, ON L8S 4L7
Email: mhaskar@mcmaster.ca


Papers:
Constrained Dynamic Programming of Hybrid Systems and Explicit Model Predictive Control – a Multi-Parametric Programming Approach
Pedro Rivotti, Imperial College; Martina Wittmann-Hohlbein, Centre for Process Systems Engineering, Imperial College; Efstratios N. Pistikopoulos, Imperial College London, Centre for Process Systems Engineering
Advanced-Multi-Step Nonlinear Model Predictive Control
Xue Yang, Carnegie Mellon University; Gilvan A. G. Fischer, Petróleo Brasileiro S.A. – Petrobras; Lorenz T. Biegler, Carnegie Mellon University
Composite Fast-Slow MPC Design for Nonlinear Singularly Perturbed Systems
Xianzhong Chen, Univ. of California, Los Angeles; Jinfeng Liu, University of California, Los Angeles; Mohsen Heidarinejad, University of California, Los Angeles; Panagiotis D. Christofides, University of California, Los Angeles
Towards Model Predictive Dual Control
Tor Aksel N. Heirung, Norwegian University of Science and Technology; B. Erik Ydstie, Carnegie Mellon University; Bjarne Foss, Norwegian University of Science and Technology
Multi-Tiered Dynamic Optimization of Partial Shutdowns with Constrained Ukf-Based State and Parameter Estimation
Zhiwen Chong, McMaster University; Christopher L. E. Swartz, McMaster University
Quasi-Decentralized Model Predictive Control of Process Systems Using Adaptive Sampling
Ye Hu, University of California, Davis; Nael H. El-Farra, University of California, Davis
See more of this Group/Topical: Computing and Systems Technology Division