Lorenz-like system design using cellular neural networks

Authors: ENİS GÜNAY, KENAN ALTUN

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

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