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  • 1
    Online-Ressource
    Online-Ressource
    Hoboken, N.J. :Wiley,
    UID:
    almafu_9959328426302883
    Umfang: 1 online resource (xx, 605 pages) : , illustrations
    Ausgabe: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2011.
    ISBN: 9780470890035 , 0470890037 , 9780470890042 , 0470890045 , 9781118003169 , 1118003160 , 1283025191 , 9781283025195 , 9786613025197 , 6613025194
    Inhalt: 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.
    Anmerkung: 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. , 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.
    Weitere Ausg.: Print version: Gibbs, Bruce P., 1946- Advabced jaknab fukterubgm least-squares and modeling. Hoboken, N.J. : Wiley, ©2010 ISBN 9780470529706
    Sprache: Englisch
    Fachgebiete: Technik
    RVK:
    Schlagwort(e): Electronic books. ; Electronic books. ; Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    [Place of publication not identified] : Wiley Imprint
    UID:
    edocfu_9961553823402883
    Umfang: 1 online resource (632 pages)
    Ausgabe: 1st edition
    Inhalt: This book provides a complete explanation of estimation theory and application, modeling approaches, and model evaluation. Each topic starts with a clear explanation of the theory (often including historical context), followed by application issues that should be considered in the design. Different implementations designed to address specific problems are presented, and numerous examples of varying complexity are used to demonstrate the concepts. This book is intended primarily as a handbook for engineers who must design practical systems. Its primary goal is to explain all important aspects of Kalman filtering and least-squares theory and application. Discussion of estimator design and model development is emphasized so that the reader may develop an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis 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.
    Anmerkung: Bibliographic Level Mode of Issuance: Monograph , English
    Weitere Ausg.: ISBN 1-118-00316-0
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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