Possible application of neural networks to vehicle dynamics and control

被引：0

作者：

Lukács, P ^{[1
]}

Széll, P ^{[1
]}

Szente, L ^{[1
]}

Vida, G ^{[1
]}

机构：

[1] Tech Univ Budapest, Dept Automobiles, H-1521 Budapest, Hungary

来源：

PROCEEDINGS OF THE 5TH MINI CONFERENCE ON VEHICLE SYSTEM DYNAMICS, IDENTIFICATION AND ANOMALIES | 1996年

关键词：

neural network; non-linearity mapping; vehicle modelling;

D O I：

暂无

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

It can be difficult problem in the vehicle modelling the description of the systems that are inherently, non-linear. There are some conventional modelling techniques, where non-linearities are approximated by mathematical formulas, look-up tables, numerical techniques or finite element approximation, where the system is replaced by limited quantities of linear systems. The non-linearity of vehicle systems can be severe toward its performance limits, and the approximation by the conventional modelling techniques can be progressively more inaccurate. Recent developments in the area of the neural networks may provide an alternative approach to the modelling of the non-linearity of vehicle systems or vehicle dynamics. This paper introduces into the possibility of the applications of neural networks mainly in the field of vehicle dynamics.

引用

页码：325 / 334

页数：10

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