In this paper, we present a novel optimization algorithm designed specifically for estimating state-space models to deal with heavy-tailed measurement noise and constraints. Our algorithm addresses ...
Abstract: Accurate estimation of state of charge (SOC) is essential for the applications of lithium-ion battery. Although many machine learning-based SOC estimation algorithms have been proposed, the ...
This repository contains a maintained and modernized version of the Espresso logic minimizer, originally developed at the University of California, Berkeley. Espresso is a heuristic multi-valued PLA ...