Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation
Buch in deiner Nähe kaufen
Beschreibung
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 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.
Autor*in
Stephan Rhode
Themen in »Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation«
Total Least Squares robust estimation Robuste Schätzer system identification errors-in-variables Systemidentifikation Onlinefilter recursive estimation