2023 AIChE Annual Meeting

Session: Advances in Process Control I

Chair

Paulson, J., The Ohio State University

Co-Chair

Babaei Pourkargar, D., Kansas State University

Presentations

08:00 AM

(207a) Offline Reinforcement Learning for Control of Complex Chemical Processes
Shin, J., Park, J. S., Shim, J., Lee, J. M.

08:18 AM

(207b) Entropy-Maximizing TD3-Based Reinforcement Learning for Controlling and Optimizing Complex Dynamical Systems
Lu, Q., Chowdhury, M. A.

08:36 AM

(207c) Necessary Optimality-Constrained Bayesian Optimization (NOBO) for Efficiently Learning Complex Control Policies from Closed-Loop Data
Makrygiorgos, G., Paulson, J., Mesbah, A.

08:54 AM

(207d) Moving Horizon Estimation for Diffusion-Transport-Reaction Systems: A Late-Lumping Approach
Huang, B., Dubljevic, S., Xie, J.

09:12 AM

(207e) A Systematic Approach for Controlling Processes Outside the Training Region of Data-Driven Models
Kwon, J., Bhadriraju, B., Khan, F.

09:30 AM

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

09:48 AM

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

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
Nieman, K., Durand, H.