Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ http://cyberleninka....arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Метод моделирования фазовой динамики для оценки запаздывающих связей между нелинейными осцилляторами при учете влияния амплитуд

Метод моделирования фазовой динамики для оценки запаздывающих связей между нелинейными осцилляторами при учете влияния амплитуд

Abstract

Показано, что использование известной интервальной оценки времени запаздывания связи между осцилляторами, основанной на эмпирическом моделировании фазовой динамики и формализме максимального правдоподобия, может давать ошибочные выводы о величине запаздывания. Это имеет место, когда на фазы существенно влияет динамика амплитуд, что типично для нелинейных автоколебательных систем, находящихся под действием сильных шумов или в хаотических режимах. Предложен эмпирический критерий для диагностики таких ситуаций и модифицированная оценка запаздывания, позволяющая устранить ошибочные выводы. Оба подхода использованы для оценки связей между климатическими процессами Эль-Ниньо – Южное колебание и Северо-Атлантическое колебание по данным наблюдений.

An established interval estimator of a time delay in coupling between oscillators, which is based on empirical modeling of phase dynamics and maximum likelihood formalism, is shown to give sometimes erroneous conclusions about the value of the time delay. It occurs when the dynamics of amplitudes affects phases, which is typical of nonlinear oscillatory systems under the influence of strong noises or in chaotic regimes. We suggest an empirical criterion to diagnose such situations and a modified estimator of time delay which allows one to avoid erroneous conclusions. Both approaches are applied to the estimation of couplings between climate processes El-Nino/Southern Oscillation and North Atlantic Oscillation from observational data.

Keywords

запаздывающие связи, нелинейная динамика, моделирование фазовой динамики, система Ресслера, ЭльНиньо – Южное колебание, Северо-Атлантическое колебание

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities