الفهرس الالي لمكتبة كلية العلوم و علوم التكنولوجيا

Titre :	Kalman filtering : theory and practice using MATLAB
Type de document :	texte imprimé
Auteurs :	Mohinder S. Grewal, Auteur ; Angus P. Andrews, Auteur
Mention d'édition :	4th ed.
Editeur :	Wiley
Année de publication :	cop. 2015
Importance :	1 vol. (XVII-617 p.)
Présentation :	ill.
Format :	17x24 cm
ISBN/ISSN/EAN :	978-1-118-85121-0
Note générale :	ASIN : 1118851218 Éditeur : Wiley–Blackwell; 4th Edition (27 janvier 2015) Langue : Anglais Relié : 640 pages ISBN-10 : 9781118851210 ISBN-13 : 978-1118851210 Poids de l'article : 1.04 kg Dimensions : 16.26 x 4.06 x 24.38 cm
Langues :	Anglais (eng)
Mots-clés :	Kalman filtering  linear dynamic systems  probability and expectancy  random processes  linear optimal filters and predictor  optimal smoothrs  implementation methods  nonlinear approximations  practical consideration  application to navigation
Index. décimale :	621
Résumé :	This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in–depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real–world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self–instruction or review by practicing engineers and scientists who want to learn more about this important topic. sommaire: linear dynamic systems probability and expectancy random processes linear optimal filtres and predictors optimal smoothers implementation methods nonlinear approximations pratical considerations applications to navigation
Note de contenu :	Kalman Filtering: Theory and Practice with MATLAB (Anglais) Relié – 27 janvier 2015 Édition en Anglais de Mohinder S. Grewal (Auteur), Angus P. Andrews (Auteur)

Kalman filtering : theory and practice using MATLAB [texte imprimé] / Mohinder S. Grewal, Auteur ; Angus P. Andrews, Auteur  . -  4th ed. . - [S.l.] : Wiley, cop. 2015 . - 1 vol. (XVII-617 p.) : ill. ; 17x24 cm.
ISBN : 978-1-118-85121-0
ASIN : 1118851218
Éditeur : Wiley–Blackwell; 4th Edition (27 janvier 2015)
Langue : Anglais
Relié : 640 pages
ISBN-10 : 9781118851210
ISBN-13 : 978-1118851210
Poids de l'article : 1.04 kg
Dimensions : 16.26 x 4.06 x 24.38 cm
Langues : Anglais (eng)

Mots-clés :	Kalman filtering  linear dynamic systems  probability and expectancy  random processes  linear optimal filters and predictor  optimal smoothrs  implementation methods  nonlinear approximations  practical consideration  application to navigation
Index. décimale :	621
Résumé :	This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in–depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real–world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self–instruction or review by practicing engineers and scientists who want to learn more about this important topic. sommaire: linear dynamic systems probability and expectancy random processes linear optimal filtres and predictors optimal smoothers implementation methods nonlinear approximations pratical considerations applications to navigation
Note de contenu :	Kalman Filtering: Theory and Practice with MATLAB (Anglais) Relié – 27 janvier 2015 Édition en Anglais de Mohinder S. Grewal (Auteur), Angus P. Andrews (Auteur)