2025 AIChE Annual Meeting

Session: 10B: Interactive Session: Systems and Process Control

This poster session showcases contributions pertaining to the development of new process control methods and/or the application of control methods to novel processes and industrial applications. It also welcomes contributions related to the application of AI/ML and other data-driven methods for control and estimation.

Chair

Victor M. Zavala, University of Wisconsin-Madison

Co-Chairs

Helen Durand, Wayne State University
Wentao Tang, University of Minnesota
Devin Griffith, Carnegie Mellon University

Presentations

(391r) Control Lyapunov Barrier Function Based Predictive Control of Nonlinear Systems Using Physics-Informed Recurrent Neural Networks
Mohammed Alhajeri, Fahim Abdullah, Panagiotis Christofides
(391o) Prompt-Based Equivalence Judgment of Manufacturing Process Models with Unknown Variables
Takahiro Sakashita, Shota Kato, Manabu Kano
(391q) Catalytic Pyrolysis of Light Hydrocarbons to Light Olefin: Process Modelling Method for Predictive and Optimization
Dongyang Liu, Liang Zhao, Jinsen Gao, Chunming Xu
(391j) Development of a Troubleshooting Model for the Operation and Control of Industrial Hydropurification Reaction Systems
Abbas Azarpour
(391p) A Unified Framework for Total Variation Regularized Optimization in Fluid Dynamics and Related Physical Systems
Varsha Gupta
(391s) Simulation Study of Bayesian Optimization for Pressure Swing Adsorption Processes Incorporating Prior Knowledge
Howoun Jung, Sun Hyung Kim, Hee-Tae Beum, Hyung Chul Yoon, Jay Hyung Lee
(391e) Predictive Process Control of a Geothermal–Solar Hybrid Cooling System for Sustainable Greenhouse Operation in Desert Climates
Mohammed AL - Azba, Ahmed Abotaleb
(391n) Hybrid Modeling of Distillation Process Via Integration of First-Principle and Data-Driven Approaches
Hyukwon Kwon, Seunggwan Yun, Hyunjin Kang, Jaeho Baek, Hyungtae Cho, Jaewon Lee
(391k) Using Machine Learning for Wet Gas Flow Metering in an Actual Production Site: Detailed Methodology and Case Study
Marcelo F. De S. Alves, Gildeir Rabello, Bruno Manhães, Rafael Soares, Diego de Menezes, Luiz Octavio Pereira, José Carlos Pinto
(391c) Enhancing Dynamic Operability Mapping Computations
Venkata Srikar Devarakonda, Chrysanthos Gounaris, Fernando Lima
(391d) Nonlinear Model Predictive Control of Ammonia Synthesis and Separation Process Using Integrated Surrogate Modeling
Amirsalar Bagheri, Thiago Oliveira Cabral, Davood Pourkargar
(391m) Clustering-Based Filtering for Variable Definition Equivalence Judgment Task
Shota Kato, Manabu Kano