Isaac Skog

Online Joint State Inference and Learning of Partially Unknown State-Space Models

2021 · IEEE Transactions on Signal Processing

A computationally efficient method for online joint state inference and dynamical model learning is presented. The dynamical model combines an a priori known, physically derived, state-space model with a radial basis function expansion representing unknown …