A NEW AUTONOMOUS CHAOS GENERATOR FROM STATE CONTROLLED-CELLULAR NEURAL NETWORKS

被引：17

作者：

Gunay, Enis ^{[1
]}

机构：

[1] Erciyes Univ, Dept Elect & Elect Engn, TR-38039 Kayseri, Turkey

来源：

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2012年 / 22卷 / 03期

关键词：

State controlled-CNN; chaos; multi-scroll generation; chaotic masking; ATTRACTORS; CNN; CIRCUIT; DESIGN; IMPLEMENTATION; FAMILY;

D O I：

10.1142/S0218127412500691

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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.

引用

页数：10

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