DocumentCode
2513286
Title
Chaotic synchronization of Lorenz system using Unscented Kalman Filter
Author
Nosrati, K. ; Azemi, A. ; Pariz, N. ; Shokouhi-R, A.
Author_Institution
Electr. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
fYear
2011
fDate
23-25 May 2011
Firstpage
848
Lastpage
853
Abstract
In this paper we present chaotic synchronization of a Lorenz system using Unscented Kalman Filter (UKF). The UKF has shown to produce better results, than Extended Kalman Filter (EKF), without performing potentially ill-conditioned numerical calculations and linearly approximating the evolution of the state vector covariance. The chaotic synchronization is implemented in the presence of state and measurement noises. Simulation results reveal the superior performance of UKF over EKF for this case.
Keywords
Kalman filters; chaos; covariance analysis; noise measurement; nonlinear systems; synchronisation; Lorenz system; chaotic synchronization; extended Kalman filter; measurement noise; state vector covariance; unscented Kalman filter; Accuracy; Chaos; Estimation; Kalman filters; Mathematical model; Noise measurement; Synchronization; Chaos Synchronization; Extended Kalman Filter; Lorenz System; Unscented Kalman Filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968301
Filename
5968301
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