Chaotic synchronization of Lorenz system using Unscented Kalman Filter

K. Nosrati, A. Azemi, N. Pariz, A. Shokouhi-R

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011
Pages848-853
Number of pages6
DOIs
StatePublished - Sep 5 2011
Event2011 Chinese Control and Decision Conference, CCDC 2011 - Mianyang, China
Duration: May 23 2011May 25 2011

Publication series

NameProceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011

Other

Other2011 Chinese Control and Decision Conference, CCDC 2011
CountryChina
CityMianyang
Period5/23/115/25/11

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Control and Systems Engineering

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