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A Parameter Estimation and Filtering Method of Chaotic System Based on Particle Filter.
- Source :
-
Acta Armamentarii . Dec2012, Vol. 33 Issue 12, p1504-1509. 6p. - Publication Year :
- 2012
-
Abstract
- The parameter estimation of chaotic system is a premise of system control and synchronization. In view of chaotic system's characteristics, such as sensitivity to initial condition, long-term unpredictability and so on, a filter applying to chaotic system was proposed based on chaotic system state space theory and particle filter (PF) theory. In a superimposed noise conditions, the parameter estimation and filtering of Lorenz chaotic system were simulated and analyzed. The simulation results show the proposed filtering algorithm is better than a chaotic system parameter estimation and filtering method based on extended Kalman filter (EKF) in bias estimates, and is an effective method for estimating the parameters of chaotic system and filter. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Chinese
- ISSN :
- 10001093
- Volume :
- 33
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- Acta Armamentarii
- Publication Type :
- Academic Journal
- Accession number :
- 87005105