๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Multi-sensor optimal information fusion Kalman filter

โœ Scribed by Shu-Li Sun; Zi-Li Deng

Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
351 KB
Volume
40
Category
Article
ISSN
0005-1098

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Multi-sensor optimal fusion filters for
Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model
โœ Meiqin Liu; Senlin Zhang; Yaochu Jin ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 737 KB

This paper is concerned with multi-sensor optimal H โˆž fusion filtering for a class of nonlinear intelligent systems with time delays. A unified model consisting of a linear dynamic system and a bounded static nonlinear operator is employed to describe these systems, such as neural networks and Takag

Extended Kalman and Particle Filtering f
Extended Kalman and Particle Filtering for sensor fusion in motion control of mobile robots
โœ Gerasimos G. Rigatos ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 658 KB

Motion control of mobile robots and efficient trajectory tracking is usually based on prior estimation of the robots' state vector. To this end Gaussian and nonparametric filters (state estimators from position measurements) have been developed. In this paper the Extended Kalman Filter which assumes