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'This book is obviously written with care and reads very easily. Avery valuable resource for students, teachers, andpractitioners...highly recommended.' (CHOICE, February2007) 'The dozens of helpful step-by-step examples, visualillustrations, and lists of exercises proposed at the end of eachchapter significantly facilitate a reader's understanding of thebook's content.' (Computing Reviews.com, December 4, 2006)

2011-08-08
(4.5)
'This book is obviously written with care and reads very easily. Avery valuable resource for students, teachers, andpractitioners...highly recommended.' (CHOICE, February2007) 'The dozens of helpful step-by-step examples, visualillustrations, and lists of exercises proposed at the end of eachchapter significantly facilitate a reader's understanding of thebook's content.' (Computing Reviews.com, December 4, 2006)
A bottom-up approach that enables readers to master and apply thelatest techniques in state estimation This book offers the best mathematical approaches to estimating thestate of a general system. The author presents state estimationtheory clearly and rigorously, providing the right amount ofadvanced material, recent research results, and references toenable the reader to apply state estimation techniques confidentlyacross a variety of fields in science and engineering. While there are other textbooks that treat state estimation, thisone offers special features and a unique perspective andpedagogical approach that speed learning: * Straightforward, bottom-up approach begins with basic conceptsand then builds step by step to more advanced topics for a clearunderstanding of state estimation * Simple examples and problems that require only paper and pen tosolve lead to an intuitive understanding of how theory works inpractice * MATLAB(r)-based source code that corresponds to examples in thebook, available on the author's Web site, enables readers torecreate results and experiment with other simulation setups andparameters Armed with a solid foundation in the basics, readers are presentedwith a careful treatment of advanced topics, including unscentedfiltering, 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 exercisesand computer exercises. Written exercises focus on improving thereader's understanding of theory and key concepts, whereas computerexercises help readers apply theory to problems similar to onesthey are likely to encounter in industry. With its expert blend oftheory and practice, coupled with its presentation of recentresearch results, Optimal State Estimation is strongly recommendedfor undergraduate and graduate-level courses in optimal control andstate estimation theory. It also serves as a reference forengineers and science professionals across a wide array ofindustries.
Format
PDF-ebook
Language
english 
Pages
552
File Size
22.9 MB
retrievable
24 months after purchase
Copy Protection
Adobe DRM
Publisher
John Wiley & Sons
Edition
Published
Product No.
DG2312847

'Optimal State Estimation' by Dan Simon is a digital PDF ebook for direct download to PC, Mac, Notebook, Tablet, iPad, iPhone, Smartphone, eReader - but not for Kindle. A DRM capable reader equipment is required.

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