Advances in Process Control | AIChE

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Advances in Process Control

Chair(s)

Durand, H., Wayne State University

Co-chair(s)

Wang, X., National University of Singapore

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

Presentations

8:00 AM
(243a) Optimal Subsystem Decomposition of Process Networks for Distributed State Estimation Based on Weighted Graph
8:19 AM
(243b) Data-Driven Nonlinear Stabilization Using Operator-Theoretic Lyapunov-Based Model Predictive Control
8:38 AM
(243c) Passivity of Multi-Phase Reaction Systems at Chemical Equilibrium
8:57 AM
(243d) Learning and Adapting Model Predictive Controllers with Reinforcement Learning for Time-Varying Systems
9:16 AM
(243e) Model-Based Output Feedback Control of Networked Process Systems with Event-Triggered Parameter Re-Identification
9:35 AM
(243f) Decompositions to Handle Disparate Time-Scales in Economic Model Predictive Control
9:54 AM
(243g) A Deep Learning-Based Approach for Explicit Offset-Free Tracking Nonlinear Model Predictive Control
10:13 AM
(243h) Lyapunov Stability and Process Flexibility Analysis: Analogies and New Approaches

Topics 

Process Automation & Control

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Pricing

Individuals

AIChE Pro Members $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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