2023 AIChE Annual Meeting

Session: Data-driven Modeling, Estimation and Optimization for Control I

Chair

Wentao Tang, University of Minnesota

Co-Chair

Calvin Tsay, Imperial College London

Presentations

12:30 PM

(386a) Error-Triggered on-Line Model Updates for Sparse Identification-Based Feedback Control
Fahim Abdullah, Panagiotis Christofides

12:48 PM

(386b) Model-Based Reinforcement Learning Algorithms for Feedback Control of Complex Dynamic Systems
Lucky Yerimah, Christian Jorgensen, B. Wayne Bequette

01:06 PM

(386c) Predictive Control of Chemical Processes Using Physics-Informed Neural Network Models
Zhe Wu, Ming Xiao, Wallace Tan, Guoquan Wu

01:24 PM

(386d) End-to-End Reinforcement Learning of Koopman Models for Economic Model Predictive Control
Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen

02:00 PM

(386f) Dynamic Reconfiguration for Modular Facilities Using Machine Learning Assisted Mixed-Integer Nonlinear Model Predictive Control
Yi Dai, Andrew Allman

02:18 PM

(386g) Dissipativity Learning and Verification from Online Trajectories of Nonlinear Dynamics
Wentao Tang, Moritz Woelk

02:36 PM

(386h) Latent Dynamic Networked System Identification with High-Dimensional Data from Interconnected Process Networks
Yanfang Mo, S. Joe Qin, Jiaxin Yu