A NEW AUTONOMOUS CHAOS GENERATOR FROM STATE CONTROLLED-CELLULAR NEURAL NETWORKS
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, vol.22, no.3, 2012 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 22 Issue: 3
- Publication Date: 2012
- Doi Number: 10.1142/s0218127412500691
- Journal Name: INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Erciyes University Affiliated: Yes
Abstract
In this study, a new autonomous chaos generator is presented via State Controlled-Cellular Neural Networks (SC-CNNs). From the numerical and circuit simulations, it has been shown that the proposed SC-CNN consisting of three cells can be easily used in chaotic applications as a chaos generator. After presenting the double scroll generation, the presented SC-CNN system is used either in multi-scroll chaotic attractor generation by adding a trigonometric function generator and or to construct a SC-CNN based chaotic masking system with feedback algorithm.