Fuzzy self-adjusted and realtime learning algorithm for vehicle lateral control

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper we deal with the vehicle lateral problem. More precisely, we solve this problem by properly applying fuzzy self-adjusted and realtime learning algorithm to the two degree of freedom vehicle lateral dynamic model. The model is set up by plenty of experiments in real driving environment.

Original languageEnglish
Title of host publication2006 1st IEEE Conference on Industrial Electronics and Applications
DOIs
StatePublished - 2006
Event2006 1st IEEE Conference on Industrial Electronics and Applications, ICIEA 2006 - Singapore, Singapore
Duration: 24 May 200626 May 2006

Publication series

Name2006 1st IEEE Conference on Industrial Electronics and Applications

Conference

Conference2006 1st IEEE Conference on Industrial Electronics and Applications, ICIEA 2006
Country/TerritorySingapore
CitySingapore
Period24/05/0626/05/06

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