Robust Kalman Filtering for Signals and Systems with Large Uncertainties

The Kalman Filter gives an optimal estimate of the state of the given process based on output measurements. The aim of this text is to cover the theory of robust state estimation for the case in which the process model contains significant uncertainties and non-linearities. Read More

The Kalman Filter gives an optimal estimate of the state of the given process based on output measurements. The aim of this text is to cover the theory of robust state estimation for the case in which the process model contains significant uncertainties and non-linearities. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $26.70 (Expires Dec 30, 2024) 60 Day Rental: $35.60 (Expires Jan 29, 2025) 90 Day Rental: $44.50 (Expires Feb 28, 2025) 120 Day Rental: $53.40 (Expires Mar 30, 2025) 180 Day Rental: $57.85 (Expires May 29, 2025) Buy eBook Lifetime Access: $89.00 Title: Robust Kalman Filtering for Signals and Systems With Large Uncertainties by Ian R. Petersen; Andrey V. Savkin Publisher: Springer Nature Print ISBN: 9780817640897, 0817640894 eText ISBN: 9781461215943 Edition: 1999 Format: PDF eBook	$26.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ