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Using Method Of Artificial Intelligence To Estimate Parameters Of Chaotic Synchronization Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43868166" target="_blank" >RIV/70883521:28140/11:43868166 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Method Of Artificial Intelligence To Estimate Parameters Of Chaotic Synchronization Systems

  • Original language description

    This paper aims to present the combination of chaotic signal and evolutionary algorithms to estimate the unknown parameters in chaos synchronization system via the Pecora and Carroll method. The self-organizing migrating algorithm (SOMA) and DifferentialEvolution (DE) were used to estimate the unknown parameters. Based on the results from evolutionary algorithms, two identical chaotic systems were synchronized.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    MENDEL 2011 17th International Conference on Soft Computing

  • ISBN

    978-80-214-4302-0

  • ISSN

    1803-3814

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    22-29

  • Publisher name

    VUT Brno

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 15, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000302647900004