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Journal of Automation and Information Sciences

 

ISSN for PRINT: 1064-2315

Institutional price:

$2573.00

Issues per year:

12

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Best Paper Award Selection - Editorial Board Site

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2008, Volume40

Issue 8

  86 pages  

   

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Issue price - $257.00  

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  • Optimization Approach to Space Weather Prediction
  • Oleg V. Semeniv
    Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine

    Vladimir I. Sidorenko
    Presidium of National Academy of Sciences of Ukraine, Kiev, Ukraine

    Yuliya V. Shatokhina
    Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine

    Oleg K. Cheremnykh
    Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kyiv, Ukraine

    Vitaliy A. Yatsenko
    Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kyiv, Ukraine


    ABSTRACT

    On the basis of assumption about a weakly turbulent state of the magnetospheric plasma the model of the nonlinear "black box" for prediction of its state is proposed. It is also assumed that a weakly turbulent state of the environment is caused by the influence of the solar wind velocity and southern component of the interplanetary magnetic field on the magnetospheric plasma. Such state of the plasma can be described by local Lyapunov exponents that characterize the sensitivity of the dynamics of magnetospheric plasma to perturbations of the magnetospheric field and are widely used for the analysis of observed data. The nonlinear discrete dynamic model of the state of the magnetospheric plasma, based on the decomposition of nonlinear perturbations of the magnetospheric field in a series by correlation functions, is proposed. This model allows to predict behaviour of the Dst-index (or a state of the space weather) on the time interval of about 100 hours under the conditions of the absence of anomalous disturbances in the solar wind.

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