東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Fuzzy logic-based automotive airbag ...

Mian, Tariq Mahmood.

Linked to FindBook

Google Book

Amazon

博客來

Fuzzy logic-based automotive airbag control system.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fuzzy logic-based automotive airbag control system./
Author:	Mian, Tariq Mahmood.
Description:	170 p.
Notes:	Adviser: J. J. Soltis.
Contained By:	Masters Abstracts International39-02.
Subject:	Artificial Intelligence. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ52612
ISBN:	0612526127

Fuzzy logic-based automotive airbag control system.
Mian, Tariq Mahmood.

Fuzzy logic-based automotive airbag control system. - 170 p.

Adviser: J. J. Soltis.

Thesis (M.A.Sc.)--University of Windsor (Canada), 2000.

This thesis deals with the design of Automotive Airbag Control System a using Fuzzy Logic based decision structure and implementation using the 68HC12 microcontroller.

ISBN: 0612526127Subjects--Topical Terms:

769149
Artificial Intelligence.

Fuzzy logic-based automotive airbag control system.
LDR:02503nam 2200313 a 45 001 933192
005 20110505
008 110505s2000 eng d
020 $a 0612526127
035 $a (UnM)AAIMQ52612
035 $a AAIMQ52612
040 $a UnM $c UnM
100 1 $a Mian, Tariq Mahmood. $3 1256931
245 1 0 $a Fuzzy logic-based automotive airbag control system.
300 $a 170 p.
500 $a Adviser: J. J. Soltis.
500 $a Source: Masters Abstracts International, Volume: 39-02, page: 0566.
502 $a Thesis (M.A.Sc.)--University of Windsor (Canada), 2000.
520 $a This thesis deals with the design of Automotive Airbag Control System a using Fuzzy Logic based decision structure and implementation using the 68HC12 microcontroller.
520 $a Fuzzy Logic implementation is becoming increasingly important, and finding applications in diverse areas of current interest, such as control, pattern recognition, robotics, and other decision making applications. Fuzzy decision process offer a significant advantage over crisp decision process which is the ability to process different levels of truth instead of only 1 or 0 levels. Fuzzy Logic does not require precise inputs, it is inherently robust, and can process any reasonable number of inputs but system complexity increases rapidly with more inputs and outputs. Distributed processors would probably be easier to implement. Simple, plain-language IF X AND Y THEN Z rules are used to describe the desired system response in terms of linguistic variables rather than mathematical formulas. The number of these is dependent on the number of inputs, outputs, and the designer's control response goals.
520 $a The new Motorola 68HC12 MCU has an embedded fuzzy logic instruction set. Using this instruction set, we can implement complex fuzzy logic systems using only a few hundred bytes of ROM that cycle compute in less than a millisecond. Considering the fact that the fuzzy logic instruction set of the 68HC 12, enables the use of fuzzy logic in mass-market high-speed applications, such as car engine control, anti-skid brakes, traction control, inter-vehicle dynamics control, hard disk drive control, servo motor control, and cellular phones.
590 $a School code: 0115.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Engineering, Automotive. $3 1018477
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0540
690 $a 0544
690 $a 0800
710 2 0 $a University of Windsor (Canada). $3 1018526
773 0 $t Masters Abstracts International $g 39-02.
790 $a 0115
790 1 0 $a Soltis, J. J., $e advisor
791 $a M.A.Sc.
792 $a 2000
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ52612