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Advanced kalman filtering, least-squares and modeling : a practical handbook / Bruce P. Gibbs

Publisher Hoboken, N.J : Wiley
Year ©2011
Authors *Gibbs, Bruce. P. 1946-

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OB00188380 Wiley Online Library (電子ブック) 9780470890035

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Material Type E-Book
Media type 機械可読データファイル
Size 1 online resource (xx, 605 pages) : illustrations
Notes Includes bibliographical references (pages 579-597) and index
System Dynamics and Models -- Modeling Examples -- Linear Least-Squares Estimation: Fundamentals -- Linear Least-Squares Estimation: Solution Techniques -- Least-Squares Estimation: Model Errors and Model Order -- Least-Squares Estimation: Constraints, Nonlinear Models, and Robust Techniques -- Kalman Filtering -- Filtering for Nonlinear Systems, Smoothing, Error Analysis/Model Design, and Measurement Preprocessing -- Factored (Square-Root) Filtering -- Advanced Filtering Topics -- Empirical Modeling -- Appendix A: Summary of Vector/Matrix Operations -- Appendix B: Probability and Random Variables
Print version record
This book is intended primarily as a handbook for engineers who must design practical systems. Its primarygoal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to ia priori/i determine the best model structure, use of iexploratory data analysis/i to define model structure is discussed. Methods for deciding on the "best" model are also presented./ A second goal is to present little known extensions of least squares estimation or Kalman filtering that provide guidance on model structure and parameters, or make the estimator more robust to changes in real-world behavior./ A third goal is discussion of implementation issues that make the estimator more accurate or efficient, or that make it flexible so that model alternatives can be easily compared./ The fourth goal is to provide the designer/analyst with guidance in evaluating estimator performance and in determining/correcting problems./ The final goal is to provide a subroutine library that simplifies implementation, and flexible general purpose high-level drivers that allow both easy analysis of alternative models and access to extensions of the basic filtering. / // Supplemental materials and up-to-date errata are downloadable at a href="http://booksupport.wiley.com/"http://booksupport.wiley.com/a
Use copy Restrictions unspecified star MiAaHDL
Electronic reproduction [Place of publication not identified] HathiTrust Digital Library 2011 MiAaHDL
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
digitized 2011 HathiTrust Digital Library committed to preserve pda MiAaHDL
English
John Wiley and Sons Wiley Online Library: Complete oBooks
HTTP:URL=https://onlinelibrary.wiley.com/doi/book/10.1002/9780470890042
Subjects LCSH:Engineering -- Statistical methods  All Subject Search
LCSH:Kalman filtering
LCSH:Least squares
LCSH:Mathematical models
MESH:Models, Theoretical
CSHF:Filtre de Kalman
CSHF:Ingénierie -- Méthodes statistiques  All Subject Search
CSHF:Modèles mathématiques
FREE:mathematical models
FREE:TECHNOLOGY & ENGINEERING -- Engineering (General)  All Subject Search
FREE:Engineering -- Statistical methods  All Subject Search
FREE:Kalman filtering
FREE:Least squares
FREE:Mathematical models
FREE:Kalman-Filter
FREE:Methode der kleinsten Quadrate
FREE:Reglerteori
FREE:Electronic books
Classification LCC:TA340
DC22:620.0072/7
ID 8000087625
ISBN 9780470890035

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