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Robust Kalman Filtering for Signals and Systems with Large Uncertainties

Ian Petersen author Andrey Savkin author William Levine editor

Format:Hardback

Publisher:Birkhauser Boston Inc

Published:10th Nov '99

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Robust Kalman Filtering for Signals and Systems with Large Uncertainties cover

This non-fiction hardback, "Robust Kalman Filtering for Signals and Systems with Large Uncertainties" from Ian Petersen, Andrey Savkin & William Levine, was published 10th November 1999 by Birkhauser Boston Inc.

"The book is primarily a research monograph which presents, in a unified fashion, some recent research on robust Kalman filtering. The book is intended for researchers in robust control and filtering theory, advanced postgraduate students, and engineers with an interest in applying the latest techniques of robust Kalman filtering. Robust Kalman filtering extends the Kalman filtering and the extended Kalman filtering to systems that contain uncertain parameters in addition to the usual white Gaussian noise... Several examples are given, showing the robust Kalman filters outperforming the regular Kalman filter or the extended Kalman filter. Each of the first ten chapters covers a specific topic, usually with a major theorem characterizing the robust filter followed by an example. The final chapter addresses its application to a particular problem." -Zentralblatt Math

ISBN: 9780817640897

Dimensions: unknown

Weight: 420g

210 pages