Jackson Fogelquist
Orcid: 0000-0001-8199-3507Affiliations:
- University of California, Davis, Department of Mechanical and Aerospace Engineering, CA, USA
According to our database1,
Jackson Fogelquist authored at least 8 papers
between 2022 and 2026.
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Bibliography
2026
Accelerating Bayesian Optimization for Nonlinear State-Space System Identification with Application to Lithium-Ion Batteries.
CoRR, March, 2026
2025
Proceedings of the 2025 American Control Conference, 2025
Joint Parameterization of Hybrid Physics-Based and Machine Learning Li-Ion Battery Model.
Proceedings of the 2025 American Control Conference, 2025
2024
Lightweight Electrochemical Hybrid Modeling Approach for Li-Ion Batteries Using Gaussian Process Regression.
Proceedings of the American Control Conference, 2024
2023
Reinforcement Learning of Optimal Input Excitation for Parameter Estimation With Application to Li-Ion Battery.
IEEE Trans. Ind. Informatics, November, 2023
Error Analysis for Parameter Estimation of Li-ion Battery subject to System Uncertainties.
Proceedings of the American Control Conference, 2023
2022
System Identification of Battery Single Particle Model Parameters Using New Data Optimization Approach.
Proceedings of the American Control Conference, 2022
Uncertainty-Aware Data Selection Framework for Parameter Estimation with Application to Li-ion Battery.
Proceedings of the American Control Conference, 2022