3 papers
eess.SY2026
Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
John Cao, Luca Furieri
We study distributed control of networked systems through reinforcement learning, where neural policies must be simultaneously scalable, expressive and stabilizing. We introduce a…
eess.SY2025
KKL Observer Synthesis for Nonlinear Systems via Physics-Informed Learning
M. Umar B. Niazi, John Cao, Matthieu Barreau +1
This paper proposes a novel learning approach for designing Kazantzis-Kravaris or nonlinear Luenberger (KKL) observers for autonomous nonlinear systems. The design of a KKL observe…
cs.LG2024
ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring
Rayan Ansari, John Cao, Sabyasachi Bandyopadhyay +3
We present ConvexECG, an explainable and resource-efficient method for reconstructing six-lead electrocardiograms (ECG) from single-lead data, aimed at advancing personalized and c…