Showing eess.SYShow all
3 papers · 1 filter
eess.SY2026
System Identification for Nonlinear Stochastic State-Space Models Using Ensemble Kalman Inversion with Application to Lithium-Ion Batteries
Farzaneh Barat, Rachel Carter, Sara Wilson +3
Nonlinear state-space system identification has attracted decades of interest, yet remains challenging because of the interplay among unknown parameters, nonlinear dynamics, and la…
eess.SY2026
Recursive Parameter Identification of Nonlinear Stochastic State-Space Models via Sequentialized Ensemble Kalman Inversion
Farzaneh Barat, Rachel Carter, Sara Wilson +1
Recursive parameter identification in nonlinear stochastic state-space models is challenging because unknown parameters affect the measurements through latent-state dynamics. This…
eess.SY2026
System Identification of Lithium-Ion Battery Equivalent Circuit Models Using Ensemble Kalman Inversion
Farzaneh Barat, Sara Wilson, Huijeong Kim +1
System identification remains an intriguing challenge for lithium-ion batteries, as many models are nonlinear, exhibit multi-physics coupling, and involve a large number of paramet…