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

Durand, H., Wayne State University

Co-Chair

Wang, X., National University of Singapore

Presentations

08:00 AM

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

Zhang, L., Yin, X., Liu, J.

08:19 AM

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

Narasingam, A., Kwon, J.

08:38 AM

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

Ydstie, B. E., Cai, Z.

08:57 AM

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

Hedrick, E., Reynolds, K., Sarda, P., Bhattacharyya, D., Zitney, S., Omell, B. P.

09:16 AM

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

Zedan, A., El-Farra, N.

09:35 AM

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

09:54 AM

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

Paulson, J., Mesbah, A.

10:13 AM

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

Tang, W., Daoutidis, P.