2019 AIChE Annual Meeting

Session: Advances in Process Control

The session seeks to showcase novel theoretical developments and applications in any traditional or emerging area of process control.

Chair

Helen Durand, Wayne State University

Co-Chair

Xiaonan Wang, National University of Singapore

Presentations

08:00 AM

(243a) Optimal Subsystem Decomposition of Process Networks for Distributed State Estimation Based on Weighted Graph

Langwen Zhang, Xunyuan Yin, Jinfeng Liu

08:19 AM

(243b) Data-Driven Nonlinear Stabilization Using Operator-Theoretic Lyapunov-Based Model Predictive Control

Abhinav Narasingam, Joseph Kwon

08:38 AM

(243c) Passivity of Multi-Phase Reaction Systems at Chemical Equilibrium

B. Erik Ydstie, Zicheng Cai

08:57 AM

(243d) Learning and Adapting Model Predictive Controllers with Reinforcement Learning for Time-Varying Systems

Elijah Hedrick, Katherine Reynolds, Parikshit Sarda, Debangsu Bhattacharyya, Stephen Zitney, Benjamin P. Omell

09:16 AM

(243e) Model-Based Output Feedback Control of Networked Process Systems with Event-Triggered Parameter Re-Identification

Amr Zedan, Nael El-Farra

09:35 AM

(243f) Decompositions to Handle Disparate Time-Scales in Economic Model Predictive Control

Matthew Ellis

09:54 AM

(243g) A Deep Learning-Based Approach for Explicit Offset-Free Tracking Nonlinear Model Predictive Control

Joel Paulson, Ali Mesbah

10:13 AM

(243h) Lyapunov Stability and Process Flexibility Analysis: Analogies and New Approaches

Wentao Tang, Prodromos Daoutidis