基于SC-CNN耦合型MLC电路的混沌同步分析研究

2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC) Pub Date : 2018-03-01 DOI:10.1109/RTECC.2018.8625654

H. Banu, P. S. Sheik Uduman

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引用次数: 1

摘要

本文给出了一种基于状态控制细胞神经网络(SC-CNN)的Murali-Lakshmanan-Chua (MLCV)电路的完全同步的显式解析解。为此，这两个独立的系统是相互单向耦合的。在耦合参数的影响下，系统从非同步状态过渡到完全同步状态。我们使用解析获得的驱动和响应系统的时间状态以及它们相应的相位肖像来演示模型系统的同步状态。

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Chaos synchronization in coupled SC-CNN based variant of MLC circuit: An analytical study

In this paper, we presented an explicitly analytical solution of complete synchronization in a State Controlled Cellular Neural Network (SC-CNN) based Variant of Murali-Lakshmanan-Chua (MLCV) circuit. For this the two individual systems are unidirectionally coupled with each other. The system transit from the unsynchronized state to the complete synchronization state under the influence of coupling parameter. we demonstrate the synchronized state of the model system using analytically obtained temporal state of the drive and response systems as well as their corresponding phase portraits.

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2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)

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