A. Uçar and E. Yavşan, Behavior learning of memristor - based chaotic circuit by extreme learning machines,Turkish Journal of Electrical Engineering & Compute Sciences, pp.1-37, isbn: doi: 10.3906/elk-1304-248 (original) (raw)

Abstract

As the behavior of a chaotic Chua's circuit is non -stationary and inherently noisy, it is regarded as one of the most challenging applications. In the prediction of behavior of a chaotic Chua's circuit, one of the fundamental problems is to model the circuit with high accuracy. This paper presents here a novel method based on multiple Extreme Learning Machine (ELM) models to learn the chaotic behavior of the four elements canonical Chua's circuit containing the memristor instead of nonlinear resistor only by using the state variables as the input. In the proposed method, the four ELM models are used to estimate the state variables of the circuit. ELMs are firstly trained by using the data spoilt by noise obtained from MATLAB models of the memristor and Chua's circuit. Multi -step -ahead prediction is then carried out by the trained ELMs in the autonomous mode. All attractors of the circuit are finally reconstructed by the outputs of the models. The results of four E...

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