Lorenz-like system design using cellular neural networks.

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Bibliographic Details
Title: Lorenz-like system design using cellular neural networks.
Authors: GÜNAY, Enis1, ALTUN, Kenan2 kaltun@cumhuriyet.edu.tr
Source: Turkish Journal of Electrical Engineering & Computer Sciences. 2018, Vol. 26 Issue 4, p1812-1819. 8p.
Subjects: Systems design, Cellular neural networks (Computer science), Chaos theory, Voltage control, Switching circuits
Abstract: In this study, a Lorenz-like system based on cellular neural networks (CNNs) is proposed. Complex butterfly chaotic attractors of Lorenz-like systems are constructed using a three-cell CNN. The proposed system makes the CNN imitate quadratic system dynamics without altering its output nonlinearity. Experimental and numerical analysis results are presented in order to verify the convenience of the system. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:In this study, a Lorenz-like system based on cellular neural networks (CNNs) is proposed. Complex butterfly chaotic attractors of Lorenz-like systems are constructed using a three-cell CNN. The proposed system makes the CNN imitate quadratic system dynamics without altering its output nonlinearity. Experimental and numerical analysis results are presented in order to verify the convenience of the system. [ABSTRACT FROM AUTHOR]
ISSN:13000632
DOI:10.3906/elk-1706-309