Machine learning in process systems engineering: Challenges and opportunities

P Daoutidis, JH Lee, S Rangarajan, L Chiang… - Computers & Chemical …, 2023 - Elsevier
This “white paper” is a concise perspective of the potential of machine learning in the
process systems engineering (PSE) domain, based on a session during FIPSE 5, held in …

Taking the human out of decomposition-based optimization via artificial intelligence, Part II: Learning to initialize

I Mitrai, P Daoutidis - Computers & Chemical Engineering, 2024 - Elsevier
The repeated solution of large-scale optimization problems arises frequently in process
systems engineering tasks. Decomposition-based solution methods have been widely used …

Machine Learning-Based Initialization of Generalized Benders Decomposition for Mixed Integer Model Predictive Control

I Mitrai, P Daoutidis - 2024 American Control Conference (ACC), 2024 - ieeexplore.ieee.org
Model predictive control (MPC) has been widely used to control and operate complex
systems. However, the efficient implementation of MPC depends on the efficient solution of …