Chaotic System Design with Quadratic Nonlinearities via Switched State Controlled-Cellular Neural Networks


European Conference on Circuit Theory and Design (ECCTD), Catania, İtalya, 4 - 06 Eylül 2017 identifier identifier


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.