Optimal estimation of dynamic systems
(eBook)

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Average Rating
Published
Boca Raton, Fla. : Chapman and Hall/CRC, 2011.
Edition
2nd ed.
Physical Desc
xvi, 726 pages : ill.
Status

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Format
eBook
Language
English

Notes

Bibliography
Includes bibliographical references.
Description
"Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems. Accessible to engineering students, applied mathematicians, and practicing engineers, the text presents the central concepts and methods of optimal estimation theory and applies the methods to problems with varying degrees of analytical and numerical difficulty. Different approaches are often compared to show their absolute and relative utility. The authors also offer prototype algorithms to stimulate the development and proper use of efficient computer programs. MATLAB® codes for the examples are available on the book's website.New to the Second EditionWith more than 100 pages of new material, this reorganized edition expands upon the best-selling original to include comprehensive developments and updates. It incorporates new theoretical results, an entirely new chapter on advanced sequential state estimation, and additional examples and exercises. An ideal self-study guide for practicing engineers as well as senior undergraduate and beginning graduate students, the book introduces the fundamentals of estimation and helps newcomers to understand the relationships between the estimation and modeling of dynamical systems. It also illustrates the application of the theory to real-world situations, such as spacecraft attitude determination, GPS navigation, orbit determination, and aircraft tracking"--,Provided by publisher.
Reproduction
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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Citations

APA Citation, 7th Edition (style guide)

Crassidis, J. L., & Junkins, J. L. (2011). Optimal estimation of dynamic systems (2nd ed.). Chapman and Hall/CRC.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Crassidis, John L and John L. Junkins. 2011. Optimal Estimation of Dynamic Systems. Chapman and Hall/CRC.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Crassidis, John L and John L. Junkins. Optimal Estimation of Dynamic Systems Chapman and Hall/CRC, 2011.

MLA Citation, 9th Edition (style guide)

Crassidis, John L., and John L Junkins. Optimal Estimation of Dynamic Systems 2nd ed., Chapman and Hall/CRC, 2011.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
eb156ffa-177b-6260-ba5d-fda5c0d87370-eng
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Grouped Work IDeb156ffa-177b-6260-ba5d-fda5c0d87370-eng
Full titleoptimal estimation of dynamic systems
Authorcrassidis john l
Grouping Categorybook
Last Update2023-12-17 07:30:28AM
Last Indexed2024-05-01 05:57:16AM

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Last UsedApr 25, 2024

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First DetectedAug 09, 2021 01:56:29 PM
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MARC Record

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260 |a Boca Raton, Fla. :|b Chapman and Hall/CRC,|c 2011.
300 |a xvi, 726 p. :|b ill.
4901 |a Chapman & Hall/CRC applied mathematics and nonlinear science series
504 |a Includes bibliographical references.
520 |a "Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems. Accessible to engineering students, applied mathematicians, and practicing engineers, the text presents the central concepts and methods of optimal estimation theory and applies the methods to problems with varying degrees of analytical and numerical difficulty. Different approaches are often compared to show their absolute and relative utility. The authors also offer prototype algorithms to stimulate the development and proper use of efficient computer programs. MATLAB® codes for the examples are available on the book's website.New to the Second EditionWith more than 100 pages of new material, this reorganized edition expands upon the best-selling original to include comprehensive developments and updates. It incorporates new theoretical results, an entirely new chapter on advanced sequential state estimation, and additional examples and exercises. An ideal self-study guide for practicing engineers as well as senior undergraduate and beginning graduate students, the book introduces the fundamentals of estimation and helps newcomers to understand the relationships between the estimation and modeling of dynamical systems. It also illustrates the application of the theory to real-world situations, such as spacecraft attitude determination, GPS navigation, orbit determination, and aircraft tracking"--|c Provided by publisher.
533 |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0|a System analysis.
650 0|a Estimation theory.
655 4|a Electronic books.
7001 |a Junkins, John L.
7102 |a ProQuest (Firm)
830 0|a Chapman & Hall/CRC applied mathematics and nonlinear science series.
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945 |a E-Book