Error correction using fuzzy logic in vehicle load measurement

被引：0
|
作者：
Su, LP
Komata, C
机构：
来源：
FIRST INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ELECTRONIC SYSTEMS, PROCEEDINGS 1997 - KES '97, VOLS 1 AND 2 | 1997年
关键词：
vehicle load measurement; error correction; inclination parameter; fuzzy logic;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In vehicle load measurement, there is an accuracy problem caused by variations of measuring condition, sensor characteristics and. so on. The problem can be explained by changes of loading states with a diversity of uncertainties. In this study, we consider an in-vehicle type load indicator and propose an error correction technique to compensate the error contained in the load measurement, using fuzzy logic in dealing with the changes of loading stares with a diversity of uncertainties.
引用
收藏
页码：595 / 598
页数：4
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