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...
I tiakina i:
| Kaituhi matua: | |
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| Hōputu: | Online |
| Reo: | Ingarihi |
| I whakaputaina: |
KIT Scientific Publishing
2021
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| Ngā marau: | |
| Urunga tuihono: | 34199 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869526535299399680 |
|---|---|
| author | Rhode, Stephan |
| author_browse | Rhode, Stephan |
| author_facet | Rhode, Stephan |
| author_sort | Rhode, Stephan |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-58556 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-585562024-04-09T23:15:33Z Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation Rhode, Stephan T1-995 Total Least Squares errors-in-variables robust estimation Onlinefilter recursive estimation Robuste Schätzer Systemidentifikation system identification thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2021-02-12T02:26:20Z 2021-02-12T02:26:20Z 2019-07-28 18:37:01 2018 book 34199 18696058 9783731508076 https://directory.doabooks.org/handle/20.500.12854/58556 eng Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731508076 KIT Scientific Publishing 10.5445/KSP/1000083492 10.5445/KSP/1000083492 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731508076 XXIV, 196 p. open access |
| spellingShingle | T1-995 Total Least Squares errors-in-variables robust estimation Onlinefilter recursive estimation Robuste Schätzer Systemidentifikation system identification thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Rhode, Stephan Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation |
| title | Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation |
| title_full | Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation |
| title_fullStr | Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation |
| title_full_unstemmed | Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation |
| title_short | Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation |
| title_sort | robust and regularized algorithms for vehicle tractive force prediction and mass estimation |
| topic | T1-995 Total Least Squares errors-in-variables robust estimation Onlinefilter recursive estimation Robuste Schätzer Systemidentifikation system identification thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | T1-995 Total Least Squares errors-in-variables robust estimation Onlinefilter recursive estimation Robuste Schätzer Systemidentifikation system identification thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | 34199 |
| work_keys_str_mv | AT rhodestephan robustandregularizedalgorithmsforvehicletractiveforcepredictionandmassestimation |