Lorenz-like system design using cellular neural networks

Abstract

In this study, a Lorenz-like system based on cellular neural networks (CNNs) is proposed. Complex butterflychaotic attractors of Lorenz-like systems are constructed using a three-cell CNN. The proposed system makes the CNNimitate quadratic system dynamics without altering its output nonlinearity. Experimental and numerical analysis resultsare presented in order to verify the convenience of the system.