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Applied Optimal Estimation

Applied Optimal Estimation
Author: The Analytic Sciences Corporation
Publisher: MIT Press
ISBN: 9780262570480
Size: 67.19 MB
Format: PDF, ePub, Mobi
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This is the first book on the optimal estimation that places its major emphasis on practical applications, treating the subject more from an engineering than a mathematical orientation. Even so, theoretical and mathematical concepts are introduced and developed sufficiently to make the book a self-contained source of instruction for readers without prior knowledge of the basic principles of the field. The work is the product of the technical staff of The Analytic Sciences Corporation (TASC), an organization whose success has resulted largely from its applications of optimal estimation techniques to a wide variety of real situations involving large-scale systems. Arthur Gelb writes in the Foreword that "It is our intent throughout to provide a simple and interesting picture of the central issues underlying modern estimation theory and practice. Heuristic, rather than theoretically elegant, arguments are used extensively, with emphasis on physical insights and key questions of practical importance." Numerous illustrative examples, many based on actual applications, have been interspersed throughout the text to lead the student to a concrete understanding of the theoretical material. The inclusion of problems with "built-in" answers at the end of each of the nine chapters further enhances the self-study potential of the text. After a brief historical prelude, the book introduces the mathematics underlying random process theory and state-space characterization of linear dynamic systems. The theory and practice of optimal estimation is them presented, including filtering, smoothing, and prediction. Both linear and non-linear systems, and continuous- and discrete-time cases, are covered in considerable detail. New results are described concerning the application of covariance analysis to non-linear systems and the connection between observers and optimal estimators. The final chapters treat such practical and often pivotal issues as suboptimal structure, and computer loading considerations. This book is an outgrowth of a course given by TASC at a number of US Government facilities. Virtually all of the members of the TASC technical staff have, at one time and in one way or another, contributed to the material contained in the work.
Applied Optimal Estimation
Language: en
Pages: 374
Authors: The Analytic Sciences Corporation
Categories: Computers
Type: BOOK - Published: 1974-05-15 - Publisher: MIT Press
This is the first book on the optimal estimation that places its major emphasis on practical applications, treating the subject more from an engineering than a mathematical orientation. Even so, theoretical and mathematical concepts are introduced and developed sufficiently to make the book a self-contained source of instruction for readers
Applied Optimal Estimation
Language: en
Pages: 374
Authors: Arthur Gelb
Categories: Computers
Type: BOOK - Published: 1974 - Publisher:
Books about Applied Optimal Estimation
Applied optimal estimation
Language: en
Pages: 374
Authors: Arthur Gelb
Categories: Computers
Type: BOOK - Published: 1986 - Publisher:
Books about Applied optimal estimation
Applied Optimal Control
Language: en
Pages: 496
Authors: A. E. Bryson
Categories: Technology & Engineering
Type: BOOK - Published: 1975-01-01 - Publisher: CRC Press
This best-selling text focuses on the analysis and design of complicated dynamics systems. CHOICE called it “a high-level, concise book that could well be used as a reference by engineers, applied mathematicians, and undergraduates. The format is good, the presentation clear, the diagrams instructive, the examples and problems helpful...References and
Applied Optimal Control
Language: en
Pages: 481
Authors: Arthur Earl Bryson, Yu-Chi Ho
Categories: Automatic control
Type: BOOK - Published: 1969 - Publisher:
Books about Applied Optimal Control
Optimal Estimation of Dynamic Systems, Second Edition
Language: en
Pages: 749
Authors: John L. Crassidis, John L. Junkins
Categories: Mathematics
Type: BOOK - Published: 2011-10-26 - Publisher: CRC Press
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
Applied optimal control
Language: en
Pages: 481
Authors: Arthur E. Bryson (Jr.), Ju-Chi Ho
Categories: Mathematics
Type: BOOK - Published: 1969 - Publisher:
Books about Applied optimal control
Optimal Control and Estimation
Language: en
Pages: 639
Authors: Robert F. Stengel
Categories: Mathematics
Type: BOOK - Published: 1994-09-20 - Publisher: Courier Corporation
"An excellent introduction to optimal control and estimation theory and its relationship with LQG design. . . . invaluable as a reference for those already familiar with the subject." — Automatica. This highly regarded graduate-level text provides a comprehensive introduction to optimal control theory for stochastic systems, emphasizing application of
Optimal Estimation of Dynamic Systems
Language: en
Pages: 608
Authors: John L. Crassidis, John L. Junkins
Categories: Mathematics
Type: BOOK - Published: 2004-04-27 - Publisher: CRC Press
Most newcomers to the field of linear stochastic estimation go through a difficult process in understanding and applying the theory.This book minimizes the process while introducing the fundamentals of optimal estimation. Optimal Estimation of Dynamic Systems explores topics that are important in the field of control where the signals received
Optimal Estimation in Approximation Theory
Language: en
Pages: 300
Authors: Charles Michelli
Categories: Science
Type: BOOK - Published: 2013-11-22 - Publisher: Springer Science & Business Media
The papers in this volume were presented at an International Symposium on Optimal Estimation in Approximation Theory which was held in Freudenstadt, Federal Republic of Germany, September 27-29, 1976. The symposium was sponsored by the IBM World Trade Europe/Middle East/Africa Corporation, Paris, and IBM Germany. On behalf of all the