activity
20182026
most citedNonlinear Discrete-time System Identification without Persistence of Excitation: Finite-time Concurrent Learning Methods

2 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

eess.SY2024

Data-driven Thermal Modeling for Electrically Excited Synchronous Motors -- A Supervised Machine Learning Approach

Farzaneh Tatari, Davis Trapp, Jason Schneider +1

This paper proposes a data-driven supervised machine learning (ML) for online thermal modeling of electrically excited synchronous motors (EESMs). EESMs are desired for EVs due to…