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.
This work provides novel robust and regularized algorithms for parameter estimation with applications in vehicle t ...
DETAILS
Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation
Dissertationsschrift
Rhode, Stephan
Kartoniert, 244 S.
graph. Darst.
Sprache: Englisch
21 cm
KIT Scientific Publishing (2018)
Gewicht: 460 g
ISBN-13: 978-3-7315-0807-6
Titelnr.: 73452475