Kalman Filtering: With Real-Time Applications - Couverture rigide

Chui, Charles K.; Chen, Guanrong

9783319476100: Kalman Filtering: With Real-Time Applications

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ISBN 10 : 3319476106 ISBN 13 : 9783319476100

Editeur : Springer International Publishing AG, 2017

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Preliminaries.- Kalman Filter: An Elementary Approach.- Orthogonal Projection and Kalman Filter.- Correlated System and Measurement Noise Processes.- Colored Noise.- Limiting Kalman Filter.- Sequential and Square-Root Algorithms.- Extended Kalman Filter and System Identification.- Decoupling of Filtering Equations.- Kalman Filtering for Interval Systems.- Wavelet Kalman Filtering.- Distributed Estimation on Sensor Networks.- Notes.- Answers and Hints to Exercises.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l?auteur

Prof. Dr. Charles K. Chui, Stanford University, Stanford, CA, USA

Prof. Dr. Guanrong Chen, City Univesity Hong Kong, Kowloon, Hong Kong, PR China

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2017
Langue: anglais
ISBN 10: 3319476106
ISBN 13: 9783319476100
Reliure: Reli�
Num�ro d'�dition: 5
Nombre de pages: 247
Coordonn�es du fabricant: non disponible

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9783319837802: Kalman Filtering: with Real-Time Applications

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ISBN 10 : 331983780X ISBN 13 : 9783319837802
Editeur : Springer, 2018
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Kalman Filtering

Charles K. Chui|Guanrong Chen

Edit� par Springer International Publishing, 2017

ISBN 10 : 3319476106 ISBN 13 : 9783319476100

Neuf Couverture rigide

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a rigorous and concise introduction to Kalman filtering, now expanded and fully updated in its 5th editionIncludes many end-of-chapters exercises, as well as a section at the end of the book with solutions and hintsAlso of interest. N� de r�f. du vendeur 129681859

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Kalman Filtering: with Real-Time Applications

Chui, Charles K.; Chen, Guanrong

Edit� par Springer, 2017

ISBN 10 : 3319476106 ISBN 13 : 9783319476100

Neuf Couverture rigide

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Kalman Filtering : with Real-Time Applications

Guanrong Chen

Edit� par Springer International Publishing, 2017

ISBN 10 : 3319476106 ISBN 13 : 9783319476100

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications. N� de r�f. du vendeur 9783319476100

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Kalman Filtering

Guanrong Chen

Edit� par Springer International Publishing Mrz 2017, 2017

ISBN 10 : 3319476106 ISBN 13 : 9783319476100

Neuf Couverture rigide

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications. 268 pp. Englisch. N� de r�f. du vendeur 9783319476100

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Kalman Filtering

Guanrong Chen

Edit� par Springer International Publishing, Springer International Publishing M�r 2017, 2017

ISBN 10 : 3319476106 ISBN 13 : 9783319476100

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Neuware -This new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch. N� de r�f. du vendeur 9783319476100

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