2023 AIChE Annual Meeting

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

Chair

Heleno Bispo, Federal University of Campina Grande

Co-Chair

Daniel Howsmon, Rensselaer Polytechnic Institute

Presentations

08:00 AM

(433a) Grey-Box Modeling and Estimation for Health Monitoring of High Temperature Boiler Components
Vivek Saini, Angan Mukherjee, Samuel Adeyemo, Debangsu Bhattacharyya

08:18 AM

(433b) Time-Series Modeling for Run-to-Run Control of an Area-Selective Atomic Layer Deposition Process
Matthew Tom, Sungil Yun, Henrik Wang, Feiyang Ou, Gerassimos Orkoulas, Panagiotis Christofides

08:36 AM

(433c) Implicit Neural Representations for Accurately Modeling State Transition Dynamics of a Distillation Column
Jae Jung Urm, Jong Min Lee

08:54 AM

(433d) Adversarially Robust Real-Time Optimization and Control (ARRTOC)
Akhil Ahmed, Mehmet Mercangoz, Antonio del Rio Chanona

09:12 AM

(433e) Robust Learning and Predictive Control of Time-Delay Nonlinear Processes with Deep Recurrent Koopman Operators
Minghao Han, Xunyuan Yin

09:30 AM

(433f) Next-Generation Hybrid Models: Combining Attention Mechanisms and Lstm for Improved Predictions and Process Control in the Chemical Industry
Parth Shah, Niranjan Sitapure, Joseph Kwon

09:48 AM

(433g) Integrating Koopman Operator with Subspace Identification for Model Predictive Control (MPC) Design
Xiaonian Wang, Brandon Corbett, Prashant Mhaskar

10:06 AM

(433h) A Training Methodology for Hybrid Building Thermal Models with Time-Varying Heat Disturbances
Pranav Krishna, Loren dela Rosa, Matthew Ellis