UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 9
September-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFB06021


Registration ID:
314984

Page Number

169-173

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Title

ANTILOCK BRAKING SYSTEM USING FUZZY LOGICS AND NEURAL NETWORK

Abstract

Recently, various electronic control techniques and control systems, such as anti-lock braking system, traction control system, and so on are being developed greatly and applied widely to improve the ride comfort, safety and operation stability in vehicle. Recently, various electronic control techniques and control systems, such as anti-lock braking system, traction control system, and so on are being developed greatly and applied widely to improve the ride comfort, safety and operation stability in vehicle. Many theories and design methods for antilock braking systems have been proposed several literatures for decades. Researchers have considered a lot of control strategies and methods of anti-lock braking systems, which have been demonstrated effective for ABS system.

Key Words

Fuzzy, Neural, Control System, ABS System

Cite This Article

"ANTILOCK BRAKING SYSTEM USING FUZZY LOGICS AND NEURAL NETWORK ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.169-173, September-2021, Available :http://www.jetir.org/papers/JETIRFB06021.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ANTILOCK BRAKING SYSTEM USING FUZZY LOGICS AND NEURAL NETWORK ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. pp169-173, September-2021, Available at : http://www.jetir.org/papers/JETIRFB06021.pdf

Publication Details

Published Paper ID: JETIRFB06021
Registration ID: 314984
Published In: Volume 8 | Issue 9 | Year September-2021
DOI (Digital Object Identifier):
Page No: 169-173
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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