Neutron imaging of lithium concentration in battery pouch cells. - Jason B. Siegel; Xinfan Lin; Anna G. Stefanopoulou; David J. Gorsich (ACC, 2011)

Quadruple adaptive observer of the core temperature in cylindrical Li-ion batteries and their health monitoring. - Xinfan Lin; Anna G. Stefanopoulou; Hector Eduardo Perez; Jason B. Siegel; Yonghua Li; R. Dyche Anderson (ACC, 2012)

On the accuracy and simplifications of battery models using in situ measurements of Lithium concentration in operational cells. - Jason B. Siegel; Xinfan Lin; Anna G. Stefanopoulou (ACC, 2012)

State of charge estimation of cells in series connection by using only the total voltage measurement. - Xinfan Lin; Anna G. Stefanopoulou; Yonghua Li; R. Dyche Anderson (ACC, 2013)

Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring. - Xinfan Lin; Hector Eduardo Perez; Jason B. Siegel; Anna G. Stefanopoulou; Yonghua Li; R. Dyche Anderson; Yi Ding; Matthew P. Castanier (IEEE Trans. Control. Syst. Technol., 2013)

Space-resolved reduced order modeling of prismatic battery thermal dynamics. - Xinfan Lin; Tae-Kyung Lee (ACC, 2015)

State of Charge Imbalance Estimation for Battery Strings Under Reduced Voltage Sensing. - Xinfan Lin; Anna G. Stefanopoulou; Yonghua Li; R. Dyche Anderson (IEEE Trans. Control. Syst. Technol., 2015)

On the analytic accuracy of battery SOC, capacity and resistance estimation. - Xinfan Lin (ACC, 2016)

Analytic Analysis of the Data-Dependent Estimation Accuracy of Battery Equivalent Circuit Dynamics. - Xinfan Lin (IEEE Control. Syst. Lett., 2017)

A Data Selection Strategy for Real-time Estimation of Battery Parameters. - Xinfan Lin (ACC, 2018)

Theoretical Analysis of Battery SOC Estimation Errors Under Sensor Bias and Variance. - Xinfan Lin (IEEE Trans. Ind. Electron., 2018)

Analytical Sensitivity Analysis for Battery Electrochemical Parameters. - Qingzhi Lai; Sidharth Jangra; Hyoung Jun Ahn; Geumbee Kim; Won Tae Joe; Xinfan Lin (ACC, 2019)

Modeling and Estimation for Advanced Battery Management. - Xinfan Lin; Youngki Kim; Shankar Mohan; Jason B. Siegel; Anna G. Stefanopoulou (Annu. Rev. Control. Robotics Auton. Syst., 2019)

Optimization of Current Excitation for Identification of Battery Electrochemical Parameters based on Analytic Sensitivity Expression. - Qingzhi Lai; Hyoung Jun Ahn; Geumbee Kim; Won Tae Joe; Xinfan Lin (ACC, 2020)

Robust Estimation of Battery System Temperature Distribution Under Sparse Sensing and Uncertainty. - Xinfan Lin; Hector Eduardo Perez; Jason B. Siegel; Anna G. Stefanopoulou (IEEE Trans. Control. Syst. Technol., 2020)

Data Optimization for Parameter Estimation under System Uncertainties with Application to Li-ion Battery. - Qingzhi Lai; Won Tae Joe; Geumbee Kim; Xinfan Lin (ACC, 2021)

Data-Driven Real-Valued Timed-Failure-Propagation-Graph Refinement for Complex System Fault Diagnosis. - Gang Chen 024; Xinfan Lin; Zhaodan Kong (IEEE Control. Syst. Lett., 2021)

Uncertainty-Aware Data Selection Framework for Parameter Estimation with Application to Li-ion Battery. - Jackson Fogelquist; Xinfan Lin (ACC, 2022)

System Identification of Battery Single Particle Model Parameters Using New Data Optimization Approach. - Qingzhi Lai; Jackson Blake Fogelquist; Xinfan Lin (ACC, 2022)

Energy-Efficient UAV Trajectory Generation Based on System-Level Modeling of Multi-Physical Dynamics. - Nicolas Michel; Zhaodan Kong; Xinfan Lin (ACC, 2022)

Data-Enabled Predictive Control for Fast Charging of Lithium-Ion Batteries with Constraint Handling. - Kaian Chen; Kaixiang Zhang 001; Xinfan Lin; Yusheng Zheng; Xunyun Yin; Xiaosong Hu; Ziyou Song; Zhaojian Li (CoRR, 2022)

System identification of wind effects on multirotor aircraft. - Peng Wei; Xinfan Lin; Zhaodan Kong (Int. J. Intell. Robotics Appl., 2022)

Error Analysis for Parameter Estimation of Li-ion Battery subject to System Uncertainties. - Jackson Fogelquist; Qingzhi Lai; Xinfan Lin (ACC, 2023)

Excitation Optimization for Estimating Battery Health Parameters using Reinforcement Learning considering Information Content and Bias. - Rui Huang; Morgan Jones; Xinfan Lin (ACC, 2023)

Finite-sample Identification of Continuous-time Parameter-linear Systems. - Simon Kuang; Xinfan Lin (CoRR, 2023)

Reinforcement Learning of Optimal Input Excitation for Parameter Estimation With Application to Li-Ion Battery. - Rui Huang; Jackson Fogelquist; Xinfan Lin (IEEE Trans. Ind. Informatics, 2023)

Lightweight Electrochemical Hybrid Modeling Approach for Li-Ion Batteries Using Gaussian Process Regression. - Jackson Fogelquist; Xinfan Lin (ACC, 2024)

System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization. - Hao Tu; Xinfan Lin; Yebin Wang; Huazhen Fang (ACC, 2024)

Energy-Optimal Planning of Waypoint-Based UAV Missions - Does Minimum Distance Mean Minimum Energy? - Nicolas Michel; Ayush Patnaik; Zhaodan Kong; Xinfan Lin (IROS, 2024)

Enhancing Large-Scale Evacuations of Electric Vehicles Through Integration of Mobile Charging Stations. - Xuchang Tang; Xinfan Lin; Shuang Feng; Samuel Markolf; Ricardo de Castro; Qijian Gan; Scott J. Moura (ITSC, 2024)

Nonlinear High-Pass Filters. - Simon Kuang; Xinfan Lin (CoRR, 2024)

Structural Constraints for Physics-augmented Learning. - Simon Kuang; Xinfan Lin (CoRR, 2024)

Joint Parameterization of Hybrid Physics-Based and Machine Learning Li-Ion Battery Model. - Jackson Fogelquist; Xinfan Lin (ACC, 2025)

Robust Estimation of Battery State of Health Using Reference Voltage Trajectory. - Rui Huang; Jackson Fogelquist; Xinfan Lin (ACC, 2025)

A New Type of Nonlinear Disturbance Rejection. - Simon Kuang; Xinfan Lin (ACC, 2025)

Optimization of Electric Vehicle Evacuation Integrating Mobile Charging Stations and Considering Vehicle Diversity. - Xuchang Tang; Simon Kuang; Xinfan Lin; Shuang Feng; Ricardo de Castro; Qijian Gan; Scott J. Moura (ACC, 2025)

Enhancing Multirotor Drone Efficiency: Exploring Minimum Energy Consumption Rate of Forward Flight under Varying Payload. - Ayush Patnaik; Nicolas Michel; Xinfan Lin (CoRR, 2025)

Debiasing Continuous-time Nonlinear Autoregressions. - Simon Kuang; Xinfan Lin (CoRR, 2025)