2026
Deep Double-Bayesian Filtering
This article investigates the problem of deep learning-based state estimation for dynamic systems with partially known dynamics and unknown noise statistics. We propose a Deep Double-Bayesian Filter (DDBF), which leverages Bayesian deep learning for Bayesian filtering, augmenting state estimation while enabling the qua...
An-Di Lin, Wen-An Zhang, Xiaoxu Lyu et al.
· IEEE Transactions on Signal... · 0 citations