Analytical and Numerical study of Chaos Synchronization in SC-CNN Based Nonautonomous System

被引：0
|
作者：
Banu, H. Shameem [1 ]
Uduman, P. S. Sheik [2 ]
机构：
[1] BS Abdur Rahman Crescent Inst Sci & Technol, Dept Phys, Chennai 600048, Tamil Nadu, India
[2] BS Abdur Rahman Crescent Inst Sci & Technol, Dept Math & AS, Chennai 600048, Tamil Nadu, India
来源：
ADVANCES IN BASIC SCIENCES (ICABS 2019) | 2019年 / 2142卷
关键词：
D O I：
10.1063/1.5122478
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We report the complete chaotic synchronization in State Controlled Cellular Neural Network (SC-CNN) based second-order forced parallel LCR circuit with piece-wise linear nonlinearity.For thatthe two individual systems are mutually coupled with each other. The system transit from unsynchronized state to the complete synchronized state under the influence of coupling parameter. We demonstrate the synchronized state of the proposed model system using an explicit analytical solution of phase portraits and time series plots. The obtained results are qualitatively matches with the numerical simulation.
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页数：6
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