الفهرس الالي لمكتبة كلية العلوم و علوم التكنولوجيا

Kalman filtering / Mohinder S. Grewal

Public ISBD 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)

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
ST14264	621/11.1	Ouvrage	Faculté des Sciences et de la Technologie	500 - Sciences de la nature et Mathématiques	Exclu du prêt

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