An Autocovariance Least-Squares-Based Data-Driven Kalman Filter for Unknown Systems

Suyang Hu, Xiaoxu Lyu, Peihu Duan +2

This article investigates the problem of data-driven state estimation for linear systems with both unknown system dynamics and noise covariances. We propose an Autocovariance Least…