2 papers
eess.SY2025
Accelerating Adaptive Systems via Normalized Parameter Estimation Laws
Mohammad Boveiri, Mohammad Khosravi, Peyman Mohajerin Esfahani
In this paper, we propose a new class of parameter estimation laws for adaptive systems, called \emph{normalized parameter estimation laws}. A key feature of these estimation laws…
eess.SY2025
User-centric Vehicle-to-Grid Optimization with an Input Convex Neural Network-based Battery Degradation Model
Arghya Mallick, Georgios Pantazis, Mohammad Khosravi +2
We propose a data-driven, user-centric vehicle-to-grid (V2G) methodology based on multi-objective optimization to balance battery degradation and V2G revenue according to EV user p…