Title :
Fusion predictors for continuous-time linear systems with different types of observations
Author :
Song, Ha-Ryong ; Lee, Kyung-Min ; Shin, Vladimir
Author_Institution :
Sch. of Inf. & Mechatron., Gwangju Inst. of Sci. & Technol., Gwangju
Abstract :
New fusion predictors for continuous-time linear systems with different types of observations are proposed. The fusion predictors are formed by summation of the local Kalman filters/predictors with matrix weights depending only on time instants. The relationship between fusion predictors is established. High accuracy and computational efficiency of the fusion predictors are demonstrated on the several examples such as the damper harmonic oscillator motion with multisensor environment.
Keywords :
Kalman filters; computational complexity; continuous time systems; linear systems; matrix algebra; prediction theory; sensor fusion; Kalman predictors; computational efficiency; continuous-time linear systems; damper harmonic oscillator motion; fusion predictors; local Kalman filters; matrix weights; multisensor environment; Additive white noise; Aircraft navigation; Control systems; Information filtering; Information filters; Kalman filters; Linear systems; Sensor fusion; Sensor systems; Yttrium; Continuous-time linear system; Kalman predictor; fusion formula; multisensor;
Conference_Titel :
Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-9-3
Electronic_ISBN :
978-89-93215-01-4
DOI :
10.1109/ICCAS.2008.4694189
