2023 AIChE Annual Meeting

Session: Advances in Process Control I

Chair

Joel Paulson, The Ohio State University

Co-Chair

Davood Babaei Pourkargar, Kansas State University

Presentations

08:00 AM

(207a) Offline Reinforcement Learning for Control of Complex Chemical Processes
Junseop Shin, Joon Soo Park, Jaehyun Shim, Jong Min Lee

08:18 AM

(207b) Entropy-Maximizing TD3-Based Reinforcement Learning for Controlling and Optimizing Complex Dynamical Systems
Qiugang (Jay) Lu, Myisha Ahmed Chowdhury

08:36 AM

(207c) Necessary Optimality-Constrained Bayesian Optimization (NOBO) for Efficiently Learning Complex Control Policies from Closed-Loop Data
Georgios Makrygiorgos, Joel Paulson, Ali Mesbah

08:54 AM

(207d) Moving Horizon Estimation for Diffusion-Transport-Reaction Systems: A Late-Lumping Approach
Biao Huang, Stevan Dubljevic, Junyao Xie

09:12 AM

(207e) A Systematic Approach for Controlling Processes Outside the Training Region of Data-Driven Models
Joseph Kwon, Bhavana Bhadriraju, Faisal Khan

09:30 AM

(207f) Model Predictive-Based Detection of Cyberattacks on Actuators Controlling Nonlinear Systems with Changing Process Dynamics
Keshav Kasturi Rangan, Henrique Oyama, Helen Durand

09:48 AM

(207g) Learning-Based Data Reconstruction and Predictive Modeling of an Ammonia Synthesis Process for State Estimation and Control Applications
Amirsalar Bagheri, Thiago Oliveira Cabral, Davood Babaei Pourkargar

10:06 AM

(207h) Simulated Greenhouse Lighting Control Test Bed Utilizing Ray Tracing and Image Detection to Study Control and Modeling Considerations Using Classical and Quantum Computing
Kip Nieman, Helen Durand