Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Vehicle dynamics estimation using Ka...
~
Doumiati, Moustapha, (1983-)
Vehicle dynamics estimation using Kalman filtering = experimental validation /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Vehicle dynamics estimation using Kalman filtering/ Moustapha Doumiati ... [et al.].
Reminder of title:
experimental validation /
other author:
Doumiati, Moustapha,
Published:
London :Iste ; : 2013.,
Description:
1 online resource (xxii, 239 p.) :ill. :
Subject:
Motor vehicles - Dynamics. -
Online resource:
http://onlinelibrary.wiley.com/book/10.1002/9781118578988
ISBN:
9781118579008
Vehicle dynamics estimation using Kalman filtering = experimental validation /
Vehicle dynamics estimation using Kalman filtering
experimental validation /[electronic resource] :Moustapha Doumiati ... [et al.]. - London :Iste ;2013. - 1 online resource (xxii, 239 p.) :ill. - Automation-control and industrial engineering series. - Automation-control and industrial engineering series..
Includes bibliographical references (p. [227]-235) and index.
Vehicle dynamics and stability have been of considerable interest for a number of years. The obvious dilemma is that people naturally desire to drive faster and faster yet expect their vehicles to be "infinitely" stable and safe during all normal and emergency maneuvers. For the most part, people pay little attention to the limited handling potential of their vehicles until some unusual behavior is observed that often results in accidents and even fatalities. This book presents several model-based estimation methods which involve information from current potential-integrable sensors. I.
ISBN: 9781118579008Subjects--Topical Terms:
639490
Motor vehicles
--Dynamics.
LC Class. No.: TL243 / .D68 2013
Dewey Class. No.: 629.2/31
Vehicle dynamics estimation using Kalman filtering = experimental validation /
LDR
:01912cam a2200337Ma 4500
001
831606
003
OCoLC
005
20151014091554.0
006
m o d
007
cr |||||||||||
008
160215s2013 enka ob 001 0 eng d
020
$a
9781118579008
020
$a
1118579003
020
$a
9781118578988 (electronic bk.)
020
$a
1118578988 (electronic bk.)
020
$z
9781848213661 (hardback)
020
$z
1848213662 (hardback)
020
$a
9781118578995 (electronic bk.)
020
$a
1118578996 (electronic bk.)
035
$a
(OCoLC)892431495
$z
(OCoLC)825096685
$z
(OCoLC)827207821
$z
(OCoLC)829706590
035
$a
ocn892431495
040
$a
YDXCP
$b
eng
$c
YDXCP
$d
EBLCP
$d
DG1
$d
N
$d
E7B
$d
CDX
$d
IDEBK
$d
UMC
$d
OCLCF
$d
DEBBG
050
4
$a
TL243
$b
.D68 2013
082
0 4
$a
629.2/31
$2
23
245
0 0
$a
Vehicle dynamics estimation using Kalman filtering
$h
[electronic resource] :
$b
experimental validation /
$c
Moustapha Doumiati ... [et al.].
260
$a
London :
$a
Hoboken, NJ :
$b
Iste ;
$c
2013.
$b
Wiley,
300
$a
1 online resource (xxii, 239 p.) :
$b
ill.
490
1
$a
Automation-control and industrial engineering series
504
$a
Includes bibliographical references (p. [227]-235) and index.
520
$a
Vehicle dynamics and stability have been of considerable interest for a number of years. The obvious dilemma is that people naturally desire to drive faster and faster yet expect their vehicles to be "infinitely" stable and safe during all normal and emergency maneuvers. For the most part, people pay little attention to the limited handling potential of their vehicles until some unusual behavior is observed that often results in accidents and even fatalities. This book presents several model-based estimation methods which involve information from current potential-integrable sensors. I.
588
$a
Description based on print version record.
650
0
$a
Motor vehicles
$x
Dynamics.
$3
639490
650
0
$a
Motor vehicles
$x
Stability.
$3
670930
650
0
$a
Kalman filtering.
$3
579841
700
1
$a
Doumiati, Moustapha,
$d
1983-
$3
1059737
830
0
$a
Automation-control and industrial engineering series.
$3
1000213
856
4 0
$u
http://onlinelibrary.wiley.com/book/10.1002/9781118578988
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login