Back to Search Start Over

GENERALIZED PROJECTIVE SYNCHRONIZATION OF CHAOTIC NEURAL NETWORKS:: OBSERVER-BASED APPROACH.

Authors :
XING YUAN WANG
JUAN MENG
Source :
International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics. 7/10/2010, Vol. 24 Issue 17, p3351-3363. 13p. 12 Graphs.
Publication Year :
2010

Abstract

In this paper, the generalized projective synchronization of chaotic neural networks is investigated. Based on the modified nonlinear state observer algorithm and the pole placement technique, a synchronization scheme is designed. The generalized projective synchronization of different chaotic neural networks can be achieved by using the proposed method. Numerical simulations further demonstrate the effectiveness of the proposed scheme. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02179792
Volume :
24
Issue :
17
Database :
Academic Search Index
Journal :
International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics
Publication Type :
Academic Journal
Accession number :
52931472
Full Text :
https://doi.org/10.1142/S0217979210055482