Manas Mejari

Learning reduced-order latent linear models for Kalman filtering of nonlinear systems

Manas Mejari, Milad Banitalebi Dehkordi, Dario Piga

We propose a filtering-oriented end-to-end learning framework to identify reduced-order models explicitly tailored for state estimation in high-dimensional nonlinear systems. An autoencoder (AE) neural network learns a low-dimensional latent representation of the state together w…Read more