2023 AIChE Annual Meeting

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

Chair

Bispo, H., Federal University of Campina Grande

Co-Chair

Howsmon, D., Rensselaer Polytechnic Institute

Presentations

08:00 AM

(433a) Grey-Box Modeling and Estimation for Health Monitoring of High Temperature Boiler Components
Saini, V., Mukherjee, A., Adeyemo, S., Bhattacharyya, D.

08:18 AM

(433b) Time-Series Modeling for Run-to-Run Control of an Area-Selective Atomic Layer Deposition Process
Tom, M., Yun, S., Wang, H., Ou, F., Orkoulas, G., Christofides, P.

08:36 AM

(433c) Implicit Neural Representations for Accurately Modeling State Transition Dynamics of a Distillation Column
Urm, J. J., Lee, J. M.

08:54 AM

(433d) Adversarially Robust Real-Time Optimization and Control (ARRTOC)
Ahmed, A., Mercangoz, M., del Rio Chanona, A.

09:12 AM

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

09:30 AM

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

09:48 AM

(433g) Integrating Koopman Operator with Subspace Identification for Model Predictive Control (MPC) Design
Wang, X., Corbett, B., Mhaskar, P.

10:06 AM

(433h) A Training Methodology for Hybrid Building Thermal Models with Time-Varying Heat Disturbances
Krishna, P., dela Rosa, L., Ellis, M.