Grid-based nonlinear estimation and its applications / (Record no. 130926)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06342cam a2200601Ki 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781315193212 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FlBoTFG |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220509193141.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190429s2019 flu ob 001 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | OCoLC-P |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781315193212 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1315193213 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781351757393 |
| -- | (electronic bk. : Mobipocket) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1351757393 |
| -- | (electronic bk. : Mobipocket) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781351757409 |
| -- | (electronic bk. : EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1351757407 |
| -- | (electronic bk. : EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781351757416 |
| -- | (electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1351757415 |
| -- | (electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9781138723092 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 1138723096 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1099466336 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC-P)1099466336 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA276.8 |
| Item number | .J53 2019eb |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MAT |
| Subject category code subdivision | 003000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | SCI |
| Subject category code subdivision | 086000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | TEC |
| Subject category code subdivision | 007000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | TQ |
| Source | bicssc |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5/44 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Jia, Bin, |
| Dates associated with a name | 1982- |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Grid-based nonlinear estimation and its applications / |
| Statement of responsibility, etc | Bin Jia (Intelligent Fusion Technology, Inc., Germantown, Maryland, USA), Ming Xin (Department of Mechanical and Aerospace Engineering [University of Missouri]). |
| 264 #1 - | |
| -- | Boca Raton, FL : |
| -- | CRC Press, Taylor & Francis Group, |
| -- | 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 500 ## - GENERAL NOTE | |
| General note | "A science publishers book." |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two decades. Grid-based estimation techniques are based on efficient and precise numerical integration rules to improve performance of the traditional Kalman filtering based estimation for nonlinear and uncertainty dynamic systems. The unscented Kalman filter, Gauss-Hermite quadrature filter, cubature Kalman filter, sparse-grid quadrature filter, and many other numerical grid-based filtering techniques have been introduced and compared in this book. Theoretical analysis and numerical simulations are provided to show the relationships and distinct features of different estimation techniques. To assist the exposition of the filtering concept, preliminary mathematical review is provided. In addition, rather than merely considering the single sensor estimation, multiple sensor estimation, including the centralized and decentralized estimation, is included. Different decentralized estimation strategies, including consensus, diffusion, and covariance intersection, are investigated. Diverse engineering applications, such as uncertainty propagation, target tracking, guidance, navigation, and control, are presented to illustrate the performance of different grid-based estimation techniques. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover; Title Page; Copyright Page; Table of Contents; Preface; 1: Introduction; 1.1 Random Variables and Random Process; 1.2 Gaussian Distribution; 1.3 Bayesian Estimation; References; 2: Linear Estimation of Dynamic Systems; 2.1 Linear Discrete-Time Kalman Filter; 2.2 Information Kalman Filter; 2.3 The Relation Between the Bayesian Estimation and Kalman Filter; 2.4 Linear Continuous-Time Kalman Filter; References; 3: Conventional Nonlinear Filters; 3.1 Extended Kalman Filter; 3.2 Iterated Extended Kalman Filter; 3.3 Point-Mass Filter; 3.4 Particle Filter; 3.5 Combined Particle Filter |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 3.5.1 Marginalized Particle Filter3.5.2 Gaussian Filter Aided Particle Filter; 3.6 Ensemble Kalman Filter; 3.7 Zakai Filter and Fokker Planck Equation; 3.8 Summary; References; 4: Grid-based Gaussian Nonlinear Estimation; 4.1 General Gaussian Approximation Nonlinear Filter; 4.2 General Gaussian Approximation Nonlinear Smoother; 4.3 Unscented Transformation; 4.4 Gauss-Hermite Quadrature; 4.5 Sparse-Grid Quadrature; 4.6 Anisotropic Sparse-Grid Quadrature and Accuracy Analysis; 4.6.1 Anisotropic Sparse-Grid Quadrature; 4.6.2 Analysis of Accuracy of the Anisotropic Sparse-Grid Quadrature |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 4.7 Spherical-Radial Cubature4.8 The Relations Among Unscented Transformation, Sparse-Grid Quadrature, and Cubature Rule; 4.8.1 From the Spherical-Radial Cubature Rule to the Unscented Transformation; 4.8.2 The Connection between the Quadrature Rule and the Spherical Rule; 4.8.3 The Relations Between the Sparse-Grid Quadrature Rule and the Spherical-Radial Cubature Rule; 4.9 Positive Weighted Quadrature; 4.10 Adaptive Quadrature; 4.10.1 Global Measure of Nonlinearity for Stochastic Systems; 4.10.2 Local Measure of Nonlinearity for Stochastic Systems; 4.11 Summary; References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5: Nonlinear Estimation: Extensions5.1 Grid-based Continuous-Discrete Gaussian Approximation Filter; 5.2 Augmented Grid-based Gaussian Approximation Filter; 5.3 Square-root Grid-based Gaussian Approximation Filter; 5.4 Constrained Grid-based Gaussian Approximation Filter; 5.4.1 Interval-constrained Unscented Transformation; 5.4.2 Estimation Projection and Constrained Update; 5.5 Robust Grid-based Gaussian Approximation Filter; 5.5.1 Huber-based Filter; 5.5.2 H |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5.9 Interacting Multiple Model Filter5.10 Summary; References; 6: Multiple Sensor Estimation; 6.1 Main Fusion Structures; 6.2 Grid-based Information Kalman Filters and Centralized Gaussian Nonlinear Estimation; 6.3 Consensus-based Strategy; 6.3.1 Consensus Algorithm; 6.3.2 Consensus-based Filter; 6.4 Covariance Intersection Strategy; 6.4.1 Covariance Intersection; 6.4.2 Iterative Covariance Intersection; 6.4.3 Distributed Batch Covariance Intersection; 6.4.4 Analysis; 6.5 Diffusion-based Strategy; 6.6 Distributed Particle Filter; 6.7 Multiple Sensor Estimation and Sensor Allocation |
| 588 ## - | |
| -- | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Estimation theory. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Nonlinear theories. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MATHEMATICS / Applied |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SCIENCE / Life Sciences / General |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | TECHNOLOGY / Electricity |
| Source of heading or term | bisacsh |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Xin, Ming, |
| Dates associated with a name | 1972- |
| Relator term | author. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Taylor & Francis |
| Uniform Resource Identifier | https://www.taylorfrancis.com/books/9781315193212 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | OCLC metadata license agreement |
| Uniform Resource Identifier | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
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