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Multi-Scroll Chaotic Attractors in SC-CNN via Hyperbolic Tangent Function

1
Department of Electrical and Electronics Engineering, Erciyes University, 38039 Kayseri, Turkey
2
Sivas Vocational College, Cumhuriyet University, 58140 Sivas, Turkey
*
Author to whom correspondence should be addressed.
Electronics 2018, 7(5), 67; https://doi.org/10.3390/electronics7050067
Received: 9 April 2018 / Revised: 6 May 2018 / Accepted: 7 May 2018 / Published: 9 May 2018
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Abstract

A State Controlled-Cellular Neural Network (SC-CNN) based chaotic model for generating multi-scroll attractors via hyperbolic tangent function series is proposed in this paper. After presenting the double scroll generation, the presented SC-CNN system is used in multi-scroll chaotic attractor generation by adding hyperbolic tangent function series. By using equilibrium analysis and their stability such as Lyapunov exponent analysis, bifurcation diagrams and Poincaré map, the dynamical behaviors of the proposed system are theoretically analyzed and numerically investigated. View Full-Text
Keywords: State Controlled-Cellular Neural Networks; multi-scroll chaotic attractors; hyperbolic tangent function State Controlled-Cellular Neural Networks; multi-scroll chaotic attractors; hyperbolic tangent function
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Günay, E.; Altun, K. Multi-Scroll Chaotic Attractors in SC-CNN via Hyperbolic Tangent Function. Electronics 2018, 7, 67.

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