Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation
Abstract
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.
Keywords
Total Least Squares; errors-in-variables; robust estimation; Onlinefilter; recursive estimation; Robuste Schätzer; Systemidentifikation; system identificationISBN
9783731508076Publisher
KIT Scientific PublishingPublisher website
http://www.ksp.kit.edu/Publication date and place
2018Series
Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik,Classification
Technology: general issues