This work provides novel robust and regularized algorithms for parameter estimation with
applications in vehicle tractive force prediction and mass estimation. Given a large record of
real world data from test runs on public roads recursive algorithms adjusted the unknown
vehicle parameters under a broad variation of statistical assumptions for two linear gray-box
models.
