Effect of measuring noise on scaling characteristics in the dynamics of coupled chaotic systems
A.N. Pavlov,
O.N. Pavlova,
A.A. Koronovskii and
A.E. Hramov
Chaos, Solitons & Fractals, 2018, vol. 116, issue C, 106-113
Abstract:
We study the scaling features in the evolutionary dynamics of two coupled chaotic systems based on the sequences of return times into a Poincaré section, contaminated with additive (measuring) noise. Using three models of chaotic systems: the Rössler oscillator, the Lorenz system, and the nephron model, and the detrended fluctuation analysis (DFA) as an approach for data processing, we demonstrate that the anti-correlated sequences of return times of synchronous motions show a higher sensitivity to measuring noise than the positively correlated series of return times of asynchronous oscillations. This conclusion is confirmed by the results for various oscillatory regimes in all models considered.
Keywords: Scaling; Chaotic oscillations; Measuring noise; Return times; Correlation analysis (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077918308221
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:116:y:2018:i:c:p:106-113
DOI: 10.1016/j.chaos.2018.09.029
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().