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...
| Format: | eBook |
|---|---|
| Language: | English |
| Published: |
KIT Scientific Publishing
2018
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| Series: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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| 020 | |a KSP/1000083492 | ||
| 024 | 7 | |a 10.5445/KSP/1000083492 |2 doi | |
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| 245 | 0 | 0 | |a Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation |
| 260 | |b KIT Scientific Publishing |c 2018 | ||
| 300 | |a 1 online resource (XXIV, 196 p. p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik | |
| 506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
| 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |u https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Technology: general issues |2 bicssc | |
| 653 | |a errors-in-variables | ||
| 653 | |a Onlinefilter | ||
| 653 | |a recursive estimation | ||
| 653 | |a robust estimation | ||
| 653 | |a Robuste Schätzer | ||
| 653 | |a system identification | ||
| 653 | |a Systemidentifikation | ||
| 653 | |a Total Least Squares | ||
| 793 | 0 | |a DOAB Library. | |
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| 856 | 4 | 0 | |u https://www.ksp.kit.edu/9783731508076 |7 0 |z Open Access: DOAB, download the publication |