Dan Simon: Optimal State Estimation, Gebunden
Optimal State Estimation
- Kalman, H Infinity, and Nonlinear Approaches
(soweit verfügbar beim Lieferanten)
- Verlag:
- John Wiley & Sons Inc, 07/2006
- Einband:
- Gebunden, HC gerader Rücken kaschiert
- Sprache:
- Englisch
- ISBN-13:
- 9780471708582
- Artikelnummer:
- 5527535
- Umfang:
- 552 Seiten
- Copyright-Jahr:
- 2006
- Gewicht:
- 1166 g
- Maße:
- 261 x 181 mm
- Stärke:
- 35 mm
- Erscheinungstermin:
- 21.7.2006
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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 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. 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.
Biografie
Dan Simon is a contributing author for Digital Photography All-in-One Desk Reference For Dummies, he is also a regular contributor to the Growing Edge and Pennsylvania magazines. Dan has more than 25 years experience as a journalist and photographer. He began his career as a Navy journalist with assignments aboard several ships, and in Norfolk, VA, Dededo, Guam, and McMurdo Station, Antarctica. After leaving the service in 1990, Dan worked as a river guide and photographer on Pennsylvania's Lehigh River. During the past 10 years, he's worked as a writer and photographer for several Pennsylvania and New Jersey newspapers, including the Wilkes-Barre Times Leader and Allentown Morning Call. His writing and photography have appeared in numerous books, magazines, web sites, and newspapers, including: The New York Times; ESPN; National Geographic Reference Atlas of North American Birds, Fifth Edition; Mid-Atlantic Real Estate Journal; Baltimore Daily Record; Tri-State Real Estate Journal; Corridor Real Estate Journal; All Hands magazine; Army Times; Gloucester County Times; White Haven Journal Herald; Butler Eagle; www.greenworks.tv; and www.drexel.edu/doj/gallery.asp. Dan is currently working on a master's degree in communications from Drexel University (Philadelphia, PA). Dan holds a bachelor's degree in general studies (design arts) from Drexel and an associate's in computer graphic arts from Gloucester County College (Sewell, NJ). He is also a graduate of the military's Defense Information School (Information Specialist Journalist and Broadcaster and Intermediate Photojournalism).