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Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches by Simon
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Standort: Columbia, Missouri, USA
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eBay-Artikelnr.:335425500914
Artikelmerkmale
- Artikelzustand
- Book Title
- Optimal State Estimation: Kalman, H Infinity, and Nonlinear Appro
- ISBN
- 9780471708582
Über dieses Produkt
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
Publication Year
2006
Subject
System Theory, Electrical, Optimization
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
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)
Dewey Edition
22
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., 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
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textbooks_source
99,5% positive Bewertungen•254.767 Artikel verkauft
Angemeldet als gewerblicher Verkäufer
Verkäuferbewertungen (43.036)
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Alle Artikel (43.036)
- Automatische Bewertung von eBay- Bewertung vom Käufer.Letzter MonatBestellung pünktlich und problemlos geliefert
- j***b (107)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufA+++++ Seller! Professor's syllabus listed the wrong book for the course, and told us of the mistake the first day of class. Contacted seller textbooks_source ASAP, and they were able to stop and refund the first order. I then purchased this textbook as the correct book for the course. Textbook received as described. This is a great seller. I would (and did) purchase from again. A++++++!!!!!!!
- _***i (82)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufI needed this for a class I am enrolled in and the seller delivered with amazing results for a unbeatable price. Normal price point was way over my budget and I am so happy I found this seller. Item arrived on time and packaged with care. Came exactly as described without any damage or defects. Will purchase from seller again for next course!
- l***l (60)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufPurchased and quickly cancelled order. The seller monitors messages and cancelled the order before it shipped with a full refund. Honest seller, good prices, and excellent customer service. I would reconsider purchasing from this seller. A++The Arras Witch Treatises: Johannes Tinctor's Invectives contre la secte de vau (Nr. 235954445229)