ANN application in modeling of Chua's circuit

Abstract

Artificial neural networks (ANNs) are applied for modeling of the nonlinear negative resistance being an element in the Chua's circuit. The properties of double hook attractor are presented. ANNs are used for application of the black-box modeling concept in the time domain. The ANNs topology, the testing signal used for excitation, together with the complexity of the ANN are considered. The generalization property of the neural networks is exploited to implement the model as an element of the double hook attractor.