2 papers
eess.SY2025
System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach
Rebecca G. Hart, Omkar Sudhir Patil, Zachary I. Bell +1
Deep Neural Networks (DNNs) are increasingly used in control applications due to their powerful function approximation capabilities. However, many existing formulations focus prima…
eess.SY2025
Experimental Validation of Distributed Dispatching of Multiple Active Distribution Networks Using the ADMM
Matthieu Jacobs, Hanmin Cai, Mario Paolone
This paper presents the experimental validation of a framework for the coordinated dispatch and control of multiple active distribution networks (ADNs) hosting distributed energy r…