In 2008 the National Academy of Engineering awarded Rudolf Kalman the Charles Stark Draper Prize--the engineering equivalent of the Nobel Prize -- for the development and dissemination of the optimal digital technique (known as the Kalman Filter) that is pervasively used to control a vast array of consumer, health, commercial, and defense products. Fundamentals of Kalman Filtering, Fourth Edition is a practical guide to building Kalman filters that shows how the filtering equations can be applied to real-life problems. ...
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In 2008 the National Academy of Engineering awarded Rudolf Kalman the Charles Stark Draper Prize--the engineering equivalent of the Nobel Prize -- for the development and dissemination of the optimal digital technique (known as the Kalman Filter) that is pervasively used to control a vast array of consumer, health, commercial, and defense products. Fundamentals of Kalman Filtering, Fourth Edition is a practical guide to building Kalman filters that shows how the filtering equations can be applied to real-life problems. Numerous examples are presented in detail, showing the many ways in which Kalman filters can be designed. For this edition, source code listings appearing in the text have been converted from FORTRAN to MATLAB(R). In addition, both FORTRAN and MATLAB* source code are available electronically for all of the examples so that the interested reader can verify concepts and explore issues beyond the scope of the text. In certain instances, the authors intentionally introduce mistakes to the initial filter designs to show the reader what happens when the filter is not working properly.The text carefully sets up a problem before the Kalman filter is actually formulated, to give the reader an intuitive feel for the problem being addressed. Because real problems are seldom presented as differential equations, and usually do not have unique solutions, the authors illustrate several different filtering approaches. Readers will gain experience in software and performance tradeoffs for determining the best filtering approach. The fourth edition features four new chapters presenting the following techniques: the State Dependent Ricatti Equation Filter (SDRE), the Unscented Kalman Filter (UKF), the Interactive Multiple Model (IMM) Filter Bank, and the Cramer-Rao lower bound (CRLB), for finding the best that a filter can perform.
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Add this copy of Fundamentals of Kalman Filtering (Progress in to cart. $178.69, like new condition, Sold by ClickGoodwill rated 5.0 out of 5 stars, ships from Indianapolis, IN, UNITED STATES, published 2015 by AIAA (American Institute of Aeronautics & Astronautics).
Edition:
2015, AIAA (American Institute of Aeronautics & Astronautics)
Publisher:
AIAA (American Institute of Aeronautics & Astronautics)
Published:
2015
Language:
English
Alibris ID:
18111391986
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Fine. This is a hard cover book: Used-Like New: All pages are intact with no pencil markings, highlighting, notes, or damage. The dust jacket/cover is in excellent condition with no minor marks, wear, or cuts. Binding is intact and in good conditon. No missing pages.
Add this copy of Fundamentals of Kalman Filtering to cart. $190.87, new condition, Sold by booksXpress, ships from Bayonne, NJ, UNITED STATES, published 2015 by AIAA (American Institute of Aeronautics & Astronautics).
Edition:
2015, AIAA (American Institute of Aeronautics & Astronautics)
Add this copy of Fundamentals of Kalman Filtering (Progress in to cart. $350.00, good condition, Sold by Found Books rated 5.0 out of 5 stars, ships from AUSTIN, TX, UNITED STATES, published by AIAA.
Edition:
2015, AIAA (American Institute of Aeronautics & Astronautics)