Saehong Park

According to our database, Saehong Park authored at least 11 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems.

Aaron Kandel, Saehong Park, Scott J. Moura

IEEE Trans. Control. Syst. Technol., May, 2023

2022

Reinforcement Learning Versus PDE Backstepping and PI Control for Congested Freeway Traffic.

Huan Yu, Saehong Park, Alexandre M. Bayen, Scott J. Moura, Miroslav Krstic

IEEE Trans. Control. Syst. Technol., 2022

Faster and Healthier Charging of Lithium-Ion Batteries via Constrained Feedback Control.

Luis D. Couto, Raffaele Romagnoli, Saehong Park, Dong Zhang, Scott J. Moura, Michel Kinnaert, Emanuele Garone

IEEE Trans. Control. Syst. Technol., 2022

2021

Estimation of Cyclable Lithium for Li-ion Battery State-of-Health Monitoring.

Saehong Park, Dong Zhang, Reinhardt Klein, Scott J. Moura

Proceedings of the 2021 American Control Conference, 2021

2020

Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries.

Saehong Park, Andrea Pozzi, Michael Whitmeyer, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura

CoRR, 2020

Optimal Control of Battery Fast Charging Based-on Pontryagin's Minimum Principle.

Saehong Park, Donggun Lee, Hyoung Jun Ahn, Claire J. Tomlin, Scott J. Moura

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries.

Saehong Park, Andrea Pozzi, Michael Whitmeyer, Hector Eduardo Perez, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Distributionally Robust Surrogate Optimal Control for Large-Scale Dynamical Systems.

Aaron Kandel, Saehong Park, Hector Eduardo Perez, Geumbee Kim, Yohwan Choi, Hyoung Jun Ahn, Won Tae Joe, Scott J. Moura

Proceedings of the 2020 American Control Conference, 2020

2018

Optimal Input Design for Parameter Identification in an Electrochemical Li-ion Battery Model.

Saehong Park, Dylan Kato, Zach Gima, Reinhardt Klein, Scott J. Moura

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Hybrid electrochemical modeling with recurrent neural networks for li-ion batteries.

Saehong Park, Dong Zhang, Scott J. Moura

Proceedings of the 2017 American Control Conference, 2017

2014

A framework for baseline load estimation in demand response: Data mining approach.

Saehong Park, Seunghyoung Ryu, Yohwan Choi, Hongseok Kim

Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014