๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Robust Kalman filtering via Krein space estimation

โœ Scribed by Lee, T.H.; Ra, W.-S.; Yoon, T.S.; Park, J.B.

Book ID
114450220
Publisher
The Institution of Electrical Engineers
Year
2004
Tongue
English
Weight
234 KB
Volume
151
Category
Article
ISSN
1350-2379

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Pico satellite attitude estimation via R
Pico satellite attitude estimation via Robust Unscented Kalman Filter in the presence of measurement faults
โœ Halil Ersin Soken; Chingiz Hajiyev ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 430 KB

## a b s t r a c t In the normal operation conditions of a pico satellite, a conventional Unscented Kalman Filter (UKF) gives sufficiently good estimation results. However, if the measurements are not reliable because of any kind of malfunction in the estimation system, UKF gives inaccurate result

Computation of arrival cost for moving h
Computation of arrival cost for moving horizon estimation via unscented Kalman filtering
โœ Cheryl C. Qu; Juergen Hahn ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 191 KB

Moving horizon estimation alleviates the computational burden of solving a full information estimation problem by considering a finite horizon of the measurement data, however, it is non-trivial to determine the arrival cost. A commonly used approach for computing the arrival cost is to use a first-