2 citations · 2 across the 2 of their papers we have counts for
Showing eess.SPShow all
3 papers · 1 filter
eess.SP2026
An Information-Theoretic Method for Dynamic System Identification With Output-Only Damping Estimation
Marios Impraimakis, Feiyu Zhou, Andrew Plummer
The system identification capabilities of a novel information-theoretic method are examined here. Specifically, this work uses information-theoretic metrics and vibration-based mea…
eess.SP2025★ 87 cited
An unscented Kalman filter method for real time input-parameter-state estimation
Marios Impraimakis, Andrew W. Smyth
The input-parameter-state estimation capabilities of a novel unscented Kalman filter is examined herein on both linear and nonlinear systems. The unknown input is estimated in two…
eess.SP2025★ 14 cited
A Kullback-Leibler divergence method for input-system-state identification
Marios Impraimakis
The capability of a novel Kullback-Leibler divergence method is examined herein within the Kalman filter framework to select the input-parameter-state estimation execution with the…