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142692

A Fuzzy Model for an Automotive Engines-Development on a Production Vehicle.

Article

Last updated: 22 Jan 2023

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Subjects

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Tags

Computer Engineering and Systems

Abstract

In this paper, we developed a fuzzy model for an automotive engine. The fuzzy model was presented by a set of rules based on the Takagi-Sugeno type. The Gustafson-Kessel (GK) algorithm was applied to determine the antecedent membership functions and east square estimation was used to determine the consequence parameters. The performance of the fuzzy model was tested using a set of measurements recorded from a single production vehicle with a 3.1 I V-6 engine and a four speed automatic transmission. This data was collected earlier during a project implemented at George Mason University, USA. The developed fuzzy model was able to provide a good modeling capabilities. 

DOI

10.21608/bfemu.2021.142692

Authors

First Name

Alaa

Last Name

Sheta

MiddleName

F.

Affiliation

Computer Science Department., University of Louisiana at Lafayette., Lafayette., LA 70504

Email

asheta@louisiana.edu

City

-

Orcid

-

First Name

Janos

Last Name

Gertler

MiddleName

-

Affiliation

Electrical and Computer Engineering Department., George Mans University Firefax., VA 22030., USA

Email

-

City

-

Orcid

-

Volume

27

Article Issue

3

Related Issue

21025

Issue Date

2002-09-01

Receive Date

2002-07-11

Publish Date

2021-09-01

Page Start

1

Page End

16

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 27_Issue 3_Pages 1-16.pdf

PDF . 686.4kB

Link

https://bfemu.journals.ekb.eg/article_142692.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=142692

Order

4

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023