Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches Tapa dura - 2006
de Dan Simon
Resumen
Primera línea
This chapter reviews some essentials of linear systems theory.
Descripción de contraportada
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. 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.
Detalles
- Título Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches
- Autor Dan Simon
- Encuadernación Tapa dura
- Edición Edition:1
- Páginas 552
- Volúmenes 1
- Idioma ENG
- Editorial Wiley-Interscience, New Jersey
- Fecha de publicación 2006-06-01
- Features Bibliography, Index, Table of Contents
- ISBN 9780471708582 / 0471708585
- Peso 2.39 libras (1.08 kg)
- Dimensiones 10.22 x 7.26 x 1.2 pulgadas (25.96 x 18.44 x 3.05 cm)
- Library of Congress subjects Mathematical optimization, Kalman filtering
- Número de catálogo de la Librería del Congreso de EEUU 2006040065
- Dewey Decimal Code 629.831
Reseñas en medios
Citas
- Scitech Book News, 09/01/2006, Page 40
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