2 citations · 3 across the 6 of their papers we have counts for
5 papers · 1 filter
PC-Gym: Benchmark Environments For Process Control Problems
Maximilian Bloor, José Torraca, Ilya Orson Sandoval +6
PC-Gym is an open-source tool for developing and evaluating reinforcement learning (RL) algorithms in chemical process control. It features environments that simulate various chemi…
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…
ARRTOC: Adversarially Robust Real-Time Optimization and Control
Akhil Ahmed, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangoz
Real-Time Optimization (RTO) plays a crucial role in the process operation hierarchy by determining optimal set-points for the lower-level controllers. However, at the control laye…
Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression
M. Zagorowska, M. Degner, L. Ortmann +4
Online Feedback Optimization is a method used to steer the operation of a process plant to its optimal operating point without explicitly solving a nonlinear constrained optimizati…
Learning Linear Representations of Nonlinear Dynamics Using Deep Learning
Akhil Ahmed, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangoz
The vast majority of systems of practical interest are characterised by nonlinear dynamics. This renders the control and optimization of such systems a complex task due to their no…