3 papers
eess.SY2025
Safe Physics-Informed Machine Learning for Dynamics and Control
Jan Drgona, Truong X. Nghiem, Thomas Beckers +6
This tutorial paper focuses on safe physics-informed machine learning in the context of dynamics and control, providing a comprehensive overview of how to integrate physical models…
eess.SY2024
Using Flexibility Envelopes for the Demand-Side Hierarchical Optimization of District Heating Networks
Audrey Blizard, Colin N. Jones, Stephanie Stockar
The demand-side control of district heating networks is notoriously challenging due to the large number of connected users and the high number of states to be considered. To overco…
math.OC2023
SOStab: a Matlab Toolbox for Transient Stability Analysis
Stéphane Drobot, Matteo Tacchi, Carmen Cardozo +1
This paper presents a new Matlab toolbox, aimed at facilitating the use of polynomial optimization for stability analysis of nonlinear systems. In the past decade several decisive…