Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6825
Title: Bayesian stable mixture model of state densities of generalized Chua's circuit
Authors: Savacı, Ferit Acar
Yılmaz, Serpil
Keywords: Semiparametric modeling
Probability density function
Chua's circuit
Multiscroll chaotic attractors
Issue Date: Mar-2015
Publisher: World Scientific Publishing Co. Pte Ltd
Source: Savacı, F. A., and Yılmaz, S. (2015). Bayesian stable mixture model of state densities of generalized Chua's circuit. International Journal of Bifurcation and Chaos, 25(3). doi:10.1142/S0218127415500388
Abstract: In this paper, the probability density functions (PDFs) of the states of Generalized Chua's Circuit (GCC) have been modeled by Finite Mixture α-Stable (FMαS) distributions which is a Bayesian mixture model of α-stable distributions and it provides semiparametric characterization for the distributions of multiscroll chaotic attractors. Fully Bayesian approach has been applied to estimate the mixture parameters of multimodal distributions corresponding to the multiscroll chaotic attractors.
URI: http://doi.org/10.1142/S0218127415500388
http://hdl.handle.net/11147/6825
ISSN: 0218-1274
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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