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...
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| Superior document: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik |
|---|---|
| : | |
| Year of Publication: | 2018 |
| Language: | English |
| Series: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik
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| Physical Description: | 1 electronic resource (XXIV, 196 p. p.) |
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| 245 | 1 | 0 | |a Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation |
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| 520 | |a 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. | ||
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