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portada Applied State Estimation and Association (Mit Lincoln Laboratory Series)
Type
Physical Book
Publisher
Language
English
Pages
472
Format
Paperback
ISBN13
9780262548915

Applied State Estimation and Association (Mit Lincoln Laboratory Series)

Chaw-Bing Chang|Keh-Ping Dunn (Author) · Mit Press · Paperback

Applied State Estimation and Association (Mit Lincoln Laboratory Series) - Chaw-Bing Chang|Keh-Ping Dunn

Physical Book

£ 128.07

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Friday, July 19 and Friday, July 26.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Applied State Estimation and Association (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.

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