2019 AIChE Annual Meeting

Session: Predictive Control and Optimization

We seek contributions on new formulations for predictive control and real-time economic optimization, as well as novel solution algorithms for the associated formulations.

Chair

Ali Mesbah, University of California, Berkeley

Co-Chair

Fernando V. Lima, West Virginia University

Presentations

12:30 PM

(705a) On the Use of Recurrent Neural Network Models in Economic Model Predictive Control of Nonlinear Processes
Zhe Wu, Scarlett (Siyao) Chen, David Rincon, Panagiotis Christofides

12:49 PM

(705b) Closed-Loop Dynamic Real Time Optimization with a Stable MPC Formulation
Praveen Sundaresan Ramesh, Prashant Mhaskar, Christopher Swartz

01:08 PM

(705c) Robust Nonlinear Model Predictive Control with Scenario Reduction
Zhou (Joyce) Yu, Lorenz Biegler

01:27 PM

(705d) Overlapping Domain Decomposition Schemes for Graph-Structured Optimization Problems
Sungho Shin, Mihai Anitescu, Victor M. Zavala

01:46 PM

(705e) Autonomous Design of Advanced Control Systems for Modular Chemical Systems
Matthias von Andrian, Anastasia Nikolakopoulou, Richard D. Braatz

02:05 PM

(705f) Fast Advanced-Step Economic MPC Based on Turnpike Properties
Dinesh Krishnamoorthy, Lorenz Biegler, Johannes Jäschke

02:24 PM

(705g) A Multiparametric Programming-Based Approach for Multi-Objective Model Predictive Control
Iosif S. Pappas, Styliani Avraamidou, Efstratios Pistikopoulos, Nikolaos A. Diangelakis

02:43 PM

(705h) Economic Linear Optimal Control with Model Uncertainty
Jin Zhang, Donald J. Chmielewski