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Optimal State Estimation : Kalman, H Infinity, And Nonlinear Approaches, Hard...
US $149.03
ApproximatelyRM 626.67
Condition:
Like New
A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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eBay item number:354952080316
Item specifics
- Condition
- Book Title
- Optimal State Estimation : Kalman, H Infinity, And Nonlinear Appr
- ISBN
- 9780471708582
- Subject Area
- Mathematics, Technology & Engineering, Science
- Publication Name
- Optimal State Estimation : Kalman, H Infinity, and Nonlinear Approaches
- Publisher
- Wiley & Sons, Incorporated, John
- Item Length
- 10.3 in
- Subject
- Electrical, System Theory, Optimization
- Publication Year
- 2006
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.4 in
- Item Weight
- 41.4 Oz
- Item Width
- 7.3 in
- Number of Pages
- 552 Pages
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471708585
ISBN-13
9780471708582
eBay Product ID (ePID)
52323878
Product Key Features
Number of Pages
552 Pages
Publication Name
Optimal State Estimation : Kalman, H Infinity, and Nonlinear Approaches
Language
English
Subject
Electrical, System Theory, Optimization
Publication Year
2006
Type
Textbook
Subject Area
Mathematics, Technology & Engineering, Science
Format
Hardcover
Dimensions
Item Height
1.4 in
Item Weight
41.4 Oz
Item Length
10.3 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2006-040065
Dewey Edition
22
Reviews
"The dozens of helpful step-by-step examples, visual illustrations, and lists of exercises proposed at the end of each chapter significantly facilitate a reader's understanding of the book's content." ("Computing Reviews.com," December 4, 2006), "This book is obviously written with care and reads very easily. A very valuable resource for students, teachers, and practitioners...highly recommended." ( CHOICE , February 2007) "The dozens of helpful step-by-step examples, visual illustrations, and lists of exercises proposed at the end of each chapter significantly facilitate a reader's understanding of the book's content." ( Computing Reviews.com , December 4, 2006)
Illustrated
Yes
Dewey Decimal
629.8/312
Synopsis
A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice MATLAB-based source code that corresponds to examples in the book, available on the authors Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the readers understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. A solutions manual is available for instructors. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries., This is a book that is clear and lucid in its presentation of the technically difficult area of state estimation. The bottom-up approach taken in this text lays the foundation one block at a time until the reader has a firm grasp of optimal filtering., A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: * Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation * Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice * MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries.
LC Classification Number
QA402.3.S5446 2006
Item description from the seller
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