2 citations · 3 across the 6 of their papers we have counts for
7 papers
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…
Exploring the Dynamics of the Specialty Insurance Market Using a Novel Discrete Event Simulation Framework: a Lloyd's of London Case Study
Sedar Olmez, Akhil Ahmed, Keith Kam +2
This research presents a novel Discrete Event Simulation (DES) of the Lloyd's of London specialty insurance market, exploring complex market dynamics that have not been previously…
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…
Application of Gaussian Processes to online approximation of compressor maps for load-sharing in a compressor station
Akhil Ahmed, Marta Zagorowska, Ehecatl Antonio del Rio-Chanona +1
Devising optimal operating strategies for a compressor station relies on the knowledge of compressor characteristics. As the compressor characteristics change with time and use, it…