01722nam 2200397z- 450 991034695260332120231214133128.01000083492(CKB)4920000000100996(oapen)https://directory.doabooks.org/handle/20.500.12854/58556(EXLCZ)99492000000010099620202102d2018 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRobust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass EstimationKIT Scientific Publishing20181 electronic resource (XXIV, 196 p. p.)Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik3-7315-0807-9 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.Total Least Squareserrors-in-variablesrobust estimationOnlinefilterrecursive estimationRobuste SchätzerSystemidentifikationsystem identificationRhode Stephanauth1326685BOOK9910346952603321Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation3037663UNINA