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20232026
most citedRobust Estimation of Battery State of Health Using Reference Voltage Trajectory

1 citations · 2 across the 13 of their papers we have counts for

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8 papers · 1 filter

eess.SY2026

Incremental stability in and : classification and synthesis

Simon Kuang, Xinfan Lin

All Lipschitz dynamics with the weak infinitesimal contraction (WIC) property can be expressed as a Lipschitz nonlinear system in proportional negative feedback -- this statement,…

eess.SY2025

Assumed Density Filtering and Smoothing with Neural Network Surrogate Models

Simon Kuang, Xinfan Lin

The Kalman filter and Rauch-Tung-Striebel (RTS) smoother are optimal for state estimation in linear dynamic systems. With nonlinear systems, the challenge consists in how to propag…

eess.SY2025★ 1 cited

Joint Parameterization of Hybrid Physics-Based and Machine Learning Li-Ion Battery Model

Jackson Fogelquist, Xinfan Lin

Electrochemical hybrid battery models have major potential to enable advanced physics-based control, diagnostic, and prognostic features for next-generation lithium-ion battery man…

eess.SY2025★ 1 cited

Robust Estimation of Battery State of Health Using Reference Voltage Trajectory

Rui Huang, Jackson Fogelquist, Xinfan Lin

Accurate estimation of state of health (SOH) is critical for battery applications. Current model-based SOH estimation methods typically rely on low C-rate constant current tests to…

eess.SY2025

Debiasing Continuous-time Nonlinear Autoregressions

Simon Kuang, Xinfan Lin

We study how to identify a class of continuous-time nonlinear systems defined by an ordinary differential equation affine in the unknown parameter. We define a notion of asymptotic…

eess.SY2024

A New Type of Nonlinear Disturbance Rejection

Simon Kuang, Xinfan Lin

Asymptotic disturbance rejection (equivalently tracking) for nonlinear systems has been studied only in qualitative terms (the state is asymptotically stable under bounded disturba…

eess.SY2024

System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization

Hao Tu, Xinfan Lin, Yebin Wang +1

Essential to various practical applications of lithium-ion batteries is the availability of accurate equivalent circuit models. This paper presents a new coupled electro-thermal mo…

eess.SY2023

Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems

Simon Kuang, Xinfan Lin

We present a method of parameter estimation for large class of nonlinear systems, namely those in which the state consists of output derivatives and the flow is linear in the param…