Robust Kalman filtering for signals and systems with large uncertainties
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Author
Contributions
- Savkin, Andrey V. - Contributor
Publication
1999 - Birkhäuser, Boston, Massachusetts
Language
English
Word Count
50,000 words, Guess
Page Count
200 pages
Identifiers
- Open LibraryOL383526M
- ISBN-100817640894
- OCLC Control Number39906013
- OCLC Control Numberrobustkalmanfilt00pete_150
- Library of Congress Control Number98046010
and 2 more
- Goodreads2786605
- LibraryThing5248717
Classifications
- DDC629.8/3
- LCCTJ216 .P462 1999
Description
"The purpose of this new book is to present recent developments in the theory of robust-state estimation for the case in which a process model contains significant uncertainties and nonlinearities. In particular, the book looks at the various ways in which the standard Kalman Filter can be modified to make it robust against large parameter uncertainties."--BOOK JACKET. "The book is an essential text/reference for graduates, researchers, and professionals in electrical, mechanical, and control engineering, applied mathematics, and computer engineering. All scientists and engineers engaged in robust control and filtering theory research will find the book a useful resource."--BOOK JACKET.
Subjects
Series Statement
- Control engineering
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