Open AccessAnti-synchronization of chaotic delayed neural networks
Author(s) -
Xuyang Lou,
Baotong Cui
Publication year - 2008
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.57.2060
Subject(s) - synchronization (alternating current) , chaotic , computer science , convergence (economics) , control theory (sociology) , artificial neural network , eigenvalues and eigenvectors , chaotic systems , simple (philosophy) , observer (physics) , synchronization of chaos , rate of convergence , topology (electrical circuits) , mathematics , physics , artificial intelligence , control (management) , telecommunications , channel (broadcasting) , philosophy , epistemology , quantum mechanics , combinatorics , economics , economic growth
By means of techniques of state observer the anti-synchronization of a class of chaotic neural networks with time delay is investigated. Compared with the anti-synchronization strategies used in other chaotic systems the technique presented here is rather simple and the convergence rate can be adjusted by tuning the eigenvalues through the pole placement technique. Finally two numerical examples and computational simulations are given to show the effectiveness of the proposed scheme.