3 papers
cs.LG2025
HOFLON: Hybrid Offline Learning and Online Optimization for Process Start-Up and Grade-Transition Control
Alex Durkin, Jasper Stolte, Mehmet Mercangöz
Start-ups and product grade-changes are critical steps in continuous-process plant operation, because any misstep immediately affects product quality and drives operational losses.…
eess.SY2024
Control-Informed Reinforcement Learning for Chemical Processes
Maximilian Bloor, Akhil Ahmed, Niki Kotecha +3
This work proposes a control-informed reinforcement learning (CIRL) framework that integrates proportional-integral-derivative (PID) control components into the architecture of dee…
eess.SY2024
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information
Liqiu Dong, Marta Zagorowska, Tong Liu +2
Physics informed neural networks (PINNs) have recently been proposed as surrogate models for solving process optimization problems. However, in an active learning setting collectin…