Introduction to Random Signals and Applied Kalman Filtering With MATLAB Exercises - Rilegato

Brown, Robert Grover; Hwang, Patrick Y. C.

Rilegato

ISBN 10: 0470609699 ISBN 13: 9780470609699

Casa editrice: John Wiley & Sons Inc, 2012

Riassunto

Advances in computers and personal navigation systems have greatly expanded the applications of Kalman filters. A Kalman filter uses information about noise and system dynamics to reduce uncertainty from noisy measurements. Common applications of Kalman filters include such fast-growing fields as autopilot systems, battery state of charge (SoC) estimation, brain-computer interface, dynamic positioning, inertial guidance systems, radar tracking, and satellite navigation systems.

Brown and Hwang's bestselling textbook introduces the theory and applications of Kalman filters for senior undergraduates and graduate students. This revision updates both the research advances in variations on the Kalman filter algorithm and adds a wide range of new application examples. The book emphasizes the application of computational software tools such as MATLAB. The companion website includes M-files to assist students in applying MATLAB to solving end-of-chapter homework problems.

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Informazioni sull'autore

Robert Grover Brown and Patrick Y. C. Hwang are the authors of Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises, 4th Edition, published by Wiley.

Dettagli dell'edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 0470609699
• ISBN 13: 9780470609699
• Rilegatura: Copertina rigida
• Numero edizione: 4
• Numero di pagine: 383
• Contatto del produttore: WROX; https://www.wiley.com/en-us; ; 111 River Street; Hoboken; NJ; 7030; U.S.A.
• Persona responsabile: non disponibile