Parameter evaluation from time sequences using chaos synchronization

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    51 Citations (Scopus)

    Abstract

    Unknown parameters in nonlinear equations are estimated from chaotic time sequences using chaos synchronization. The method is based on a random optimization method. The parameters are randomly searched for in a sequential manner as the degree of the chaos synchronization is increased. The method is applied for the parameter evaluation in the Lorenz equation and the Lang-Kobayashi model for the chaotic semiconductor laser.

    Original languageEnglish
    JournalPhysical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
    Volume65
    Issue number2
    DOIs
    Publication statusPublished - 2002

    All Science Journal Classification (ASJC) codes

    • Statistical and Nonlinear Physics
    • Statistics and Probability
    • Condensed Matter Physics

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