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Ajouter au panierPaperback. Etat : Brand New. 2nd edition. 750 pages. 9.18x6.12x9.21 inches. In Stock.
Edité par Taylor and Francis Ltd, GB, 2024
ISBN 10 : 103291761X ISBN 13 : 9781032917610
Langue: anglais
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Ajouter au panierPaperback. Etat : New. 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.
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Ajouter au panierEtat : New. John L. Crassidis, Ph.D., is a professor of mechanical and aerospace engineering and the associate director of the Center for Multisource Information Fusion at the University at Buffalo, State University of New York. He previously worked.
Edité par UNIVELT INCORPORATED., USA, 2006
ISBN 10 : 0877035253 ISBN 13 : 9780877035251
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Ajouter au panierCouverture rigide. Etat : Comme neuf. Pas de jaquette. Format: 18/25 HEAVY BOOKS WITH CD ROM PROCEEDINGS OF THE UNIVERSITY AT BUFFALO STATE UNIVERSITY OF NEW YORK /AAS MALCOM D SHUSTER ASTRONAUTICS SYMPOSIUM HELD JUNE 12/15 .2005 GRAND ISLAND NEW YORK .AVEC CD ROM AMERICAN ASTRONAUTICAL SOCIETY PUBLICATION.
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ISBN 10 : 103291761X ISBN 13 : 9781032917610
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Ajouter au panierPaperback. Etat : New. 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.
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Edité par Chapman and Hall/CRC 2011-09-08, 2011
ISBN 10 : 1439839859 ISBN 13 : 9781439839850
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Ajouter au panierGebunden. Etat : New. John L. Crassidis, Ph.D., is a professor of mechanical and aerospace engineering and the associate director of the Center for Multisource Information Fusion at the University at Buffalo, State University of New York. He previously worked.
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Edité par Taylor and Francis Inc, US, 2011
ISBN 10 : 1439839859 ISBN 13 : 9781439839850
Langue: anglais
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Ajouter au panierHardback. Etat : New. 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.
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Ajouter au panierhardcover. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.