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Nonlinear Filtering.

Nonlinear Filtering covers linear and nonlinear filtering in a comprehensive manner, with appropriate theoretic and practical development. Aspects of modeling, estimation, recursive filtering, linear filtering, and nonlinear filtering are presented with appropriate and sufficient mathematics. A mode...

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Bibliographic Details
Main Author: Raol, Jitendra R.
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: London : CRC Press, 2017.
Subjects:
Stochastic processes.
Filters (Mathematics)
Nonlinear theory.
Engineering mathematics.
Stochastic Processes
Processus stochastiques.
Filtres (Mathématiques)
Mathématiques de l'ingénieur.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Engineering mathematics
Stochastic processes
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:Nonlinear Filtering covers linear and nonlinear filtering in a comprehensive manner, with appropriate theoretic and practical development. Aspects of modeling, estimation, recursive filtering, linear filtering, and nonlinear filtering are presented with appropriate and sufficient mathematics. A modeling-control-system approach is used when applicable, and detailed practical applications are presented to elucidate the analysis and filtering concepts. MATLAB routines are included, and examples from a wide range of engineering applications - including aerospace, automated manufacturing, robotics, and advanced control systems - are referenced throughout the text.--Provided by publisher.
Physical Description:1 online resource (556 pages) : illustrations
ISBN:1498745180
9781498745185
9781351647953
1351647954
9781315151908
1315151901