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230209s2014 xx o ||| 0 eng d |
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|a EBLCP
|b eng
|c EBLCP
|d OCLCQ
|d OCLCO
|d EBLCP
|d OCLCQ
|d OCLCL
|d OCLCQ
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|a 9781118984963
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|a 111898496X
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|a (OCoLC)1347028053
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|a 003/.5
|q OCoLC
|2 20/eng/20230216
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|a UAMI
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|a Grewal, Mohinder S.
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|a Kalman Filtering
|h [electronic resource] :
|b Theory and Practice with MATLAB.
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260 |
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|a Newark :
|b John Wiley & Sons, Incorporated,
|c 2014.
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300 |
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|a 1 online resource (639 p.).
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490 |
1 |
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|a New York Academy of Sciences Ser.
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500 |
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|a Description based upon print version of record.
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|a Cover -- Title Page -- Copyright -- Contents -- Preface to the Fourth Edition -- Acknowledgements -- List of Abbreviations -- Chapter 1 Introduction -- 1.1 Chapter Focus -- 1.2 On Kalman Filtering -- 1.2.1 First of All: What Is a Kalman Filter? -- 1.2.2 How It Came to Be Called a Filter -- 1.2.3 Its Mathematical Foundations -- 1.2.4 What It Is Used for -- 1.3 On Optimal Estimation Methods -- 1.3.1 Beginnings of Optimal Estimation Theory -- 1.3.2 Method of Least Squares -- 1.3.2.1 The Gramian of the Linear Least-Squares Problem -- 1.3.2.2 Least-Squares Solution
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|a 1.3.2.3 Least Squares in Continuous Time -- 1.3.2.4 Gramian Matrices and Observability -- 1.3.3 Mathematical Modeling of Uncertainty -- 1.3.4 The Wiener-Kolmogorov Filter -- 1.3.4.1 Wiener-Kolmogorov Filter Development -- 1.3.5 The Kalman Filter -- 1.3.5.1 Discovery -- 1.3.5.2 Introduction of the Kalman Filter -- 1.3.5.3 Early Applications: The Influence of Stanley F. Schmidt -- 1.3.5.4 Other Accomplishments of Kalman -- 1.3.5.5 Impact of Kalman Filtering on Technology -- 1.3.5.6 Relative Advantages of Kalman and Wiener-Kolmogorov Filtering -- 1.3.6 Implementation Methods
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|a 1.3.6.1 Numerical Stability Problems -- 1.3.6.2 Early ad hoc Fixes -- 1.3.6.3 James E. Potter (1937-2005) and Square-Root Filtering -- 1.3.6.4 Improved Square-Root and UD Filters -- 1.3.6.5 Matrix Decomposition, Factorization, and Triangularization -- 1.3.6.6 Generalizations -- 1.3.7 Nonlinear Approximations -- 1.3.7.1 Extended Kalman Filtering (EKF) for Quasilinear Problems -- 1.3.7.2 Higher Order Approximations -- 1.3.7.3 Sampling-Based Methods for Nonlinear Estimation -- 1.3.8 Truly Nonlinear Estimation -- 1.3.9 The Detection Problem for Surveillance -- 1.4 Common Notation
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|a 1.4.1 ""Dot"" Notation for Derivatives -- 1.4.2 Standard Symbols for Kalman Filter Variables -- 1.4.2.1 State Vector Notation for Kalman Filtering -- 1.4.3 Common Notation for Array Dimensions -- 1.5 Summary -- Problems -- References -- Chapter 2 Linear Dynamic Systems -- 2.1 Chapter Focus -- 2.1.1 The Bigger Picture -- 2.1.2 Models for Dynamic Systems -- 2.1.2.1 Differential Equations and State Variables -- 2.1.2.2 Other Approaches -- 2.1.3 Main Points to Be Covered -- 2.2 Deterministic Dynamic System Models -- 2.2.1 Dynamic Systems Modeled by Differential Equations -- 2.2.2 Newtonian Models
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|a 2.2.2.1 Rigid-Body Translational Mechanics -- 2.2.2.2 Rigid-Body Rotational Mechanics -- 2.2.2.3 Nonrigid Body Dynamic Models -- 2.2.3 State Variables and State Equations for Deterministic Systems -- 2.2.3.1 Homogeneous and Nonhomogeneous Differential Equations -- 2.2.3.2 State Variables Represent the Degrees of Freedom of Dynamic Systems -- 2.2.4 Continuous Time and Discrete Time -- 2.2.4.1 Shorthand Notation for Discrete-Time Systems -- 2.2.5 Time-Varying Systems and Time-Invariant Systems -- 2.3 Continuous Linear Systems and their Solutions
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|a 2.3.1 Input-Output Models of Linear Dynamic Systems
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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655 |
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0 |
|a Electronic books.
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758 |
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|i has work:
|a Kalman filtering (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCH68XFCKcvMhGwpMt4PgBq
|4 https://id.oclc.org/worldcat/ontology/hasWork
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776 |
0 |
8 |
|i Print version:
|a Grewal, Mohinder S.
|t Kalman Filtering
|d Newark : John Wiley & Sons, Incorporated,c2014
|z 9781118851210
|
830 |
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0 |
|a New York Academy of Sciences Ser.
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856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7104322
|z Texto completo
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938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL7104322
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994 |
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|a 92
|b IZTAP
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