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http://hdl.handle.net/20.500.12188/10377
Наслов: | Towards a Protocol for Adaptive Dynamical Bayesian Inference: Case of Limit-Cycle Oscillators | Authors: | Lukarski, Dushko Spasevska, Hristina Stankovski Tomislav |
Keywords: | adaptive dynamical Bayesian inference coupled oscillators time window determination |
Issue Date: | 14-дек-2020 | Publisher: | Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje | Journal: | Journal of Electrical Engineering and Information Technologies | Abstract: | Several methods exist that allow the study of the interactions between dynamic systems in nature. Among them is the method of dynamic Bayesian inference, which allows reconstruction of a model that describes the interactions between different dynamical systems, based on the measured time series originating from these systems. Based on an investigation of a known system of two coupled phase oscillators, an algorithm for improving this method has been proposed, by adaptively determining two parameters that were previously arbitrarily selected – the time win-dow and the propagation parameter. This paper presents the results of the evaluation of the introduced algorithm on a second system of coupled oscillators - limit-cycle Poincaré oscillators in the presence of noise. The performed analysis confirmed the relevance of the proposed algorithm for improved model inference, which allows for a deeper understanding of the interactions described by the coupling functions of the dynamical systems. | URI: | http://hdl.handle.net/20.500.12188/10377 | DOI: | 534.322.3.015:57.08]:519.226 |
Appears in Collections: | Faculty of Medicine: Journal Articles |
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Lukarski_JEEIT_2020.pdf | 811 kB | Adobe PDF | View/Open |
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