An Adaption Method For Fuzzy Logic Controllers In Lateral Vehicle Guidance

In this report, a formulation is made for a model reference adaptive fuzzy logic control (MRAFLC) algorithm and applied to automatic steering control of a vehicle. The purpose of the research is to design a fuzzy logic controller such that changes in operating conditions are addressed in the controller. The changes in operating conditions of interest include vehicle speed and road surface conditions.

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Year of publication:	1995-01-01
Authors:	Hessburg, Thomas ; Tomizuka, Masayoshi
Institutions:	Institute for Transportation Studies (ITS), University of California-Berkeley
Subject:	Automobile driving-Steering-Automation \| Fuzzy systems

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Extent:	application/pdf
Series:	Institute of Transportation Studies, Research Reports, Working Papers, Proceedings.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series Institute of Transportation Studies (UCB)
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010537264