Race car performance evaluation by a Neuro-Fuzzy Inference System

被引：0

作者：

Antonini, P. ^{[1
]}

Corradini, M. L. ^{[2
]}

Ippoliti, G. ^{[3
]}

Longhi, S. ^{[3
]}

Stronati, C. ^{[1
]}

机构：

[1] ETA Srl, Via Zona Ind, I-64010 Ancarano, TE, Italy

[2] Univ Camerino, Dipartimento Matemat Informat, I-62032 Camerino, Italy

[3] Univ Politecn Marche, DIIGA, I-60131 Ancona, Italy

来源：

2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12 | 2006年 / 1-12卷

关键词：

D O I：

10.1109/ACC.2006.1656611

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper a tool supporting racing car design and set-up is proposed. A Neuro - Fuzzy inference system is used to model performance using set-up parameters. This approach has been suggested by the need of adopting a linguistic description of the system itself. The network has been developed by performance simulations of a race car in known conditions. A variational analysis of the output surfaces can provide a simply way to achieve the desired car performances.

引用

页码：2579 / +

页数：2

共 12 条

[1]

BASTOW D, 2004, CAR SUSPENSION HANDL, P283

[2]

CHAPMAN CB, 1999, KNOWLEDGE BASED SYST, V12

[3] Object-oriented programming techniques in vehicle dynamics simulation [J].