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Applied Optimal Estimation (Mit Press),New
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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 selfcontained 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 largescale 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 'builtin' answers at the end of each of the nine chapters further enhances the selfstudy potential of the text.After a brief historical prelude, the book introduces the mathematics underlying random process theory and statespace characterization of linear dynamic systems. The theory and practice of optimal estimation is them presented, including filtering, smoothing, and prediction. Both linear and nonlinear systems, and continuous and discretetime cases, are covered in considerable detail. New results are described concerning the application of covariance analysis to nonlinear 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.
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- Q: What is the main focus of Applied Optimal Estimation? A: The book primarily emphasizes practical applications of optimal estimation, presenting the subject more from an engineering perspective rather than a purely mathematical one.
- Q: Who is the author of Applied Optimal Estimation? A: The author is The Analytic Sciences Corporation, who contributed to the material based on their extensive experience in optimal estimation techniques.
- Q: What topics are covered in Applied Optimal Estimation? A: The book covers a range of topics including random process theory, state-space characterization of linear dynamic systems, filtering, smoothing, prediction, and both linear and non-linear systems.
- Q: Is this book suitable for beginners? A: Yes, the book is designed to be self-contained, introducing theoretical and mathematical concepts suitable for readers without prior knowledge in the field.
- Q: How many pages does Applied Optimal Estimation have? A: The book contains a total of 374 pages.
- Q: What is the binding type of this book? A: Applied Optimal Estimation is available in a paperback binding.
- Q: When was Applied Optimal Estimation published? A: The book was published on May 15, 1974.
- Q: What condition is the book in? A: The book is listed as being in 'Good' condition.
- Q: Does Applied Optimal Estimation include practical examples? A: Yes, the book includes numerous illustrative examples based on actual applications to help readers understand the theoretical material.
- Q: Are there any exercises in the book? A: Yes, each of the nine chapters includes problems with 'built-in' answers to enhance self-study opportunities for readers.