3 papers
eess.SY2025
LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models
Amit Jena, Na Li, Le Xie
System identification in control theory aims to approximate dynamical systems from trajectory data. While neural networks have demonstrated strong predictive accuracy, they often f…
cs.LG2024
PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems
Ali Menati, Fatemeh Doudi, Dileep Kalathil +1
The electricity sector is undergoing substantial transformations due to the rising electrification of demand, enhanced integration of renewable energy resources, and the emergence…
eess.SY2023
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
Amit Jena, Dileep Kalathil, Le Xie
This paper addresses the problem of Neural Network (NN) based adaptive stability certification in a dynamical system. The state-of-the-art methods, such as Neural Lyapunov Function…