Feedback

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

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

en

0 Ungluers have Faved this Work
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.

This book is included in DOAB.

Why read this book? Have your say.

You must be logged in to comment.

Rights Information

Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.

Downloads

This work has been downloaded 60 times via unglue.it ebook links.
  1. 60 - pdf (CC BY-SA) at Unglue.it.

Keywords

  • errors-in-variables
  • Onlinefilter
  • recursive estimation
  • robust estimation
  • Robuste Schätzer
  • System identification
  • Systemidentifikation
  • Total Least Squares

Links

DOI: 10.5445/KSP/1000083492

Editions

edition cover

Share

Copy/paste this into your site: