Chaotic System Design with Quadratic Nonlinearities via Switched State Controlled-Cellular Neural Networks
Abstract
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.
Source
2017 EUROPEAN CONFERENCE ON CIRCUIT THEORY AND DESIGN (ECCTD)Collections
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