Applied State Estimation and Association (MIT Lincoln Laboratory Series)
Language: English
Published by MIT Press, 2016
- Hardcover
- Used
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AbeBooks seller since June 24, 2014
Condition: Used - Good
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Dispatched, from the UK, within 48 hours of ordering. This book is in good condition but will show signs of previous ownership. Please expect some creasing to the spine and/or minor damage to the cover. Grubby book may have mild dirt or some staining, mostly on the edges of pages.
Seller Inventory # CHL9924112
- Title
- Applied State Estimation and Association (MIT Lincoln Laboratory Series)
- Author
- Chang, Chaw?bing
- Publisher
- MIT Press
- Publication year
- 2016
- Condition
- Used; Good
- Binding
- hardcover
- Language
- English
- ISBN 10
- 026203400X
- ISBN 13
- 9780262034005
- Series
- Book 2 of 4: MIT Lincoln Laboratory Series
A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics, and defense industries.
Applied state estimation and association is an important area for practicing engineers in aerospace, electronics, and defense industries, used in such tasks as signal processing, tracking, and navigation. This book offers a rigorous introduction to both theory and application of state estimation and association. It takes a unified approach to problem formulation and solution development that helps students and junior engineers build a sound theoretical foundation for their work and develop skills and tools for practical applications.
Chapters 1 through 6 focus on solving the problem of estimation with a single sensor observing a single object, and cover such topics as parameter estimation, state estimation for linear and nonlinear systems, and multiple model estimation algorithms. Chapters 7 through 10 expand the discussion to consider multiple sensors and multiple objects. The book can be used in a first-year graduate course in control or system engineering or as a reference for professionals. Each chapter ends with problems that will help readers to develop derivation skills that can be applied to new problems and to build computer models that offer a useful set of tools for problem solving. Readers must be familiar with state-variable representation of systems and basic probability theory including random and stochastic processes.
"Synopsis" may belong to another edition of this title.
About the Author
Keh-Ping Dunn is a Senior Staff Member of the BMDS Integration Group at MIT Lincoln Laboratory. Dunn has forty years of experience in applying estimation and association techniques.
"About the title" may belong to another edition of this title.
Reuseabook
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