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Kalman filtering : theory and practice / Mohinder S. Grewal ; Angus P. Andrews

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Titre : Kalman filtering : theory and practice
Type de document : texte imprimé
Auteurs : Mohinder S. Grewal ; Angus P. Andrews
Importance : XVIII-381 p.
Format : 24 cm
Accompagnement : 1 disquette
ISBN/ISSN/EAN : 978-0-13-211335-9
Note générale : Bibliogr. Index
Langues : Anglais (eng)
Mots-clés : Mathématique numérique
Kalman filtering
Index. décimale : 519.218.7
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.

Note de contenu : Sommaire:
1 Introduction
2 Linear Dynamic Systems
3 Probability and Expectancy 73
4 Random Processes
5 Linear Optimal Filters and Predictors
6 Optimal Smoothers
7 Implementation Methods
8 Nonlinear Approximations
9 Practical Considerations
10 Applications to Navigation
Appendix A Software

Kalman filtering : theory and practice [texte imprimé] / Mohinder S. Grewal ; Angus P. Andrews . - [s.d.] . - XVIII-381 p. ; 24 cm + 1 disquette.
ISBN : 978-0-13-211335-9
Bibliogr. Index
Langues : Anglais (eng)
Mots-clés : Mathématique numérique
Kalman filtering
Index. décimale : 519.218.7
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.

Note de contenu : Sommaire:
1 Introduction
2 Linear Dynamic Systems
3 Probability and Expectancy 73
4 Random Processes
5 Linear Optimal Filters and Predictors
6 Optimal Smoothers
7 Implementation Methods
8 Nonlinear Approximations
9 Practical Considerations
10 Applications to Navigation
Appendix A Software

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Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire
044436 519.218.7 GRE Papier Bibliothèque Centrale Mathématiques Disponible

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519.218.7

Ouvrages de la bibliothèque en indexation 519.218.7

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