Full Bayesian identification of linear dynamic systems using stable kernels.
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2218197120
Abstract: System identification learns mathematical models of dynamic systems starting from input-output data. Despite its long history, such research area is still extremely active. New challenges are posed by identification of complex physical processes given by… read more here.
Keywords: bayesian identification; stable kernels; identification; kernels full ... See more keywords