An Adaption Method For Fuzzy Logic Controllers In Lateral Vehicle Guidance
Thomas Hessburg and
Masayoshi Tomizuka
Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley
Abstract:
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.
Keywords: Automobile driving--Steering--Automation; Fuzzy systems (search for similar items in EconPapers)
Date: 1995-01-01
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Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsrrp:qt9814b01x
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