2024 AIChE Annual Meeting

Session: 10B: AI/ML Modeling, Optimization and Control Applications II

This session welcomes contributions related to the application of AI/ML technologies for Modeling, Control, Estimation and Optimization. Applications related to novel topics as well as industrial and manufacturing contributions that highlights AI/ML methods are highly encouraged.

Chair

Babaei Pourkargar, D., Kansas State University

Co-Chair

Tsay, C., Imperial C

Presentations

03:30 PM

(711a) Time-Series Integrated Surrogate Modeling for Control of Ammonia Synthesis and Adsorption Processes

03:46 PM

(711b) A Multiparametric Approach to Solving NN Constrained Model Predictive Control Problems Effectively

04:02 PM

(711c) Beyond Molecular Structure: Predicting CO2 Solubility in Amine Solvents Under Varying Operating Conditions with Transformer Models

04:18 PM

(711d) Predictive Control of Distributed Transportation Systems Using Physics-Informed Neural Network

04:34 PM

(711e) A Q-Learning RL-MPC Algorithm Addressing Challenges Encountered in Renal Replacement Therapy

04:50 PM

(711f) A Constraint on Classical Least Squares for Preprocessing Vibrational Spectra Containing Overlapping Non-Target Peaks

05:06 PM

(711g) Causality Guided Minimization of Liquid Time Constant Neural Network Models

05:22 PM

(711h) Machine Learning-Based Model Predictive Control of an Electrified Steam Methane Reformer

05:38 PM

(711i) An Implementable Reinforcement Learning Approach for Online Adaptation of Model Predictive Control