Chaotic system design with quadratic nonlinearities via switched state controlled-cellular neural networks

In this study, switched State Controlled-Cellular Neural Network is used to design a chaotic system with quadratic nonlinearities. By using bipolar voltage controlled switching parameters, classical State Controlled-Cellular Neural Network gets the ability of reproducing quadratic system dynamics, without changing the original piecewise linear based output nonlinearity. This paper also presents a Field Programmable Analog Array based programming implementation of proposed system. Experimental results are reported with numerical ones to confirm the compatibility of the point of view.