2025 AIChE Annual Meeting

Session: 10B: AI/ML and Data-Driven Modeling for Control II

This session welcomes contributions that highlight the application of AI/ML and data-driven technologies for modeling with control-relevant applications, as well as theory for AI/ML and data-driven methods as applied to modeling in control-relevant applications.

Chair

Davood Pourkargar, Kansas State University

Co-Chairs

Dhan Lord Fortela, University of Louisiana at Lafayette
Akhilesh Jain, Sparkcognition
Manish Aggarwal, AspenTech Corporation

Presentations

12:30 PM

(529a) Model-Based Fault Diagnosis and Fault Tolerant Control in Closed-Loop Safety-Critical Chemical Reactors: An Experimental Study
Pu Du, Ritu Ranjan, Benjamin Wilhite, Costas Kravaris

12:48 PM

(529b) Addressing Missing Underlying Physics in Dynamic Systems with Embedded Gaussian Process Modeling
Claudemi Nascimento, San Dinh, David S. Mebane, Fernando Lima

01:06 PM

(391b) An Accelerated Reinforcement Learning Algorithm for Process Control Via Y-Wise Affine Neural Networks
Austin Braniff, Yuhe Tian

01:24 PM

(529d) Dynamic Operational Strategies of a Dividing-Wall Distillation Column with Electric Heating
Natalia Cislo, Michael Baldea

01:42 PM

(529e) Gray-Box Soft-Sensor Modeling of Vessel Interior Temperatures across Different Liquid Supply Angles
Jinxin WANG, Feng Xu, Hisashi Takahashi, Yuka Sakai, Yasuki Kansha

02:00 PM

(529f) Dynamic Optimization of Multi-Timescale Processes Using Adaptive Timescale Coupling
Nishant Vinayak Giridhar, Debangsu Bhattacharyya, Douglas A. Allan, Sangbum Lee

02:18 PM

(529g) Integrated Optimization of the Short-Term and the Long-Term Operation of a Blue Hydrogen Plant
Farbod Maghsoudi, Raunak Pandey, Vladimir Mahalec

02:36 PM

(391g) Bayesian Optimization for Nonlinear System Online PID Control
Tate Bestwick, Kyle Camarda