Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation

By: Material type: ArticleArticleLanguage: English Publication details: KIT Scientific Publishing 2018Description: 1 electronic resource (XXIV, 196 p. p.)ISBN:
  • KSP/1000083492
  • 9783731508076
Subject(s): Online resources: Summary: 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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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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