Unscented Kalman filter applied to noisy synchronization of rossler chaotic system

Komeil Nosrati, Ali Shokouhi Rostami, Asad Azemi, Naser Pariz

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

3 Scopus citations

Abstract

Extended Kalman Filter (EKF) has been widely used as an important tool in practical applications to estimate states of nonlinear systems. There are a number of deficiencies in EKF such as biased estimation, complexity in calculation and inefficacity in not being able to compute analytical derivatives affect its application in many fields. In this paper, Unscented Kalman Filter (UKF) is employed for estimation of the state variables of the chaotic dynamical system. The chaotic synchronization is implemented by the UKF in the presence of processing noise and measurement noise. The results of the simulation on the Rossler chaotic system by UKF and its comparison with EKF show that the UKF has more accuracy and efficiency than EKF.

Original languageEnglish (US)
Title of host publication2011 3rd International Conference on Advanced Computer Control, ICACC 2011
Pages378-383
Number of pages6
DOIs
StatePublished - Oct 4 2011
Event3rd IEEE International Conference on Advanced Computer Control, ICACC 2011 - Harbin, China
Duration: Jan 18 2011Jan 20 2011

Publication series

Name2011 3rd International Conference on Advanced Computer Control, ICACC 2011

Other

Other3rd IEEE International Conference on Advanced Computer Control, ICACC 2011
CountryChina
CityHarbin
Period1/18/111/20/11

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering

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    Nosrati, K., Rostami, A. S., Azemi, A., & Pariz, N. (2011). Unscented Kalman filter applied to noisy synchronization of rossler chaotic system. In 2011 3rd International Conference on Advanced Computer Control, ICACC 2011 (pp. 378-383). [6016435] (2011 3rd International Conference on Advanced Computer Control, ICACC 2011). https://doi.org/10.1109/ICACC.2011.6016435