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

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

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2 papers

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…

eess.SY2021★ 2 cited

Nonlinear Discrete-time System Identification without Persistence of Excitation: Finite-time Concurrent Learning Methods

Farzaneh Tatari, Christos Panayiotou, Marios Polycarpou

This paper deals with the problem of finite-time learning for unknown discrete-time nonlinear systems' dynamics, without the requirement of the persistence of excitation. Two finit…