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eess.SY2026
A Hybrid End-to-End and Modular Control Architecture Toward Safe Vehicle Lateral Control: Combining Soft Actor-Critic with Model Predictive Control
Farzaneh Tatari
Connected and automated vehicles demand lateral controllers that are simultaneously accurate, low-effort, and safe under model error and sensor noise. Modular controllers such as m…
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…