By Topic

A chaotic attractor with cellular neural networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zou, F. ; Inst. for Network Theory & Circuit Design, Tech. Univ. of Munich, Germany ; Nossek, J.A.

A chaotic attractor has been observed with a nonautonomous cellular neural network (CNN) using an opposite-sign template. The network consists of only two cells and is driven by a sinusoidal input. It possesses the horseshoe structure. The map shows multiple strongly stretching and folding processes of the volume of flow. The attractor has interesting fractal structures

Published in:

Circuits and Systems, IEEE Transactions on  (Volume:38 ,  Issue: 7 )