3 papers
eess.SY2026
Bounds on Deep Neural Network Partial Derivatives with Respect to Parameters
Omkar Sudhir Patil, Brandon C. Fallin, Cristian F. Nino +2
Deep neural networks (DNNs) have emerged as a powerful tool with a growing body of literature exploring Lyapunov-based approaches for real-time system identification and control. T…
eess.SY2025
Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks
Max L. Gardenswartz, Brandon C. Fallin, Cristian F. Nino +1
This paper presents a novel approach to solving the indirect influence problem in networked systems, in which cooperative nodes must regulate a target node with uncertain dynamics…
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…