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stat.AP2025
Experimental validation of universal filtering and smoothing for linear system identification using adaptive tuning
Zihao Liu, Sima Abolghasemi, Mohsen Ebrahimzadeh Hassanabadi +2
In Kalman filtering, unknown inputs are often estimated by augmenting the state vector, which introduces reliance on fictitious input models. In contrast, minimum-variance unbiased…
stat.AP2024
A recursive smoothing method for input and state estimation of vibrating structures
Zihao Liu, Mohsen Ebrahimzadeh Hassanabadi, Daniel Dias-da-Costa
Recursive Bayesian filters have been widely deployed in structural system identification where output-only filters are of higher practicality. Unfortunately, the estimation obtaine…