Lorenz-like system design using cellular neural networks

Authors

ENİS GÜNAY
KENAN ALTUN

DOI

10.3906/elk-1706-309

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.

Keywords

State-controlled cellular neural networks, Lorenz system, multivariable nonlinearity, complex dynamics, Lorenz-like systems

First Page

1812

Last Page

1819

Recommended Citation

GÜNAY, ENİS and ALTUN, KENAN (2018) "Lorenz-like system design using cellular neural networks," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 26: No. 4, Article 11. https://doi.org/10.3906/elk-1706-309
Available at: https://journals.tubitak.gov.tr/elektrik/vol26/iss4/11