Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation
Dissertationsschrift
(Sprache: Englisch)
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...
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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.
Klappentext zu „Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation “
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.
Bibliographische Angaben
- Autor: Stephan Rhode
- 2018, 244 Seiten, mit Abbildungen, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: KIT Scientific Publishing
- ISBN-10: 3731508079
- ISBN-13: 9783731508076
Sprache:
Englisch
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