Parameter evaluation from time sequences using chaos synchronization

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    52 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 - Jan 1 2002

    Fingerprint

    Chaos Synchronization
    chaos
    synchronism
    Lorenz Equations
    evaluation
    Semiconductor Lasers
    Evaluation
    Unknown Parameters
    Optimization Methods
    Nonlinear Equations
    nonlinear equations
    semiconductor lasers
    optimization
    Model
    Language

    All Science Journal Classification (ASJC) codes

    • Statistical and Nonlinear Physics
    • Mathematical Physics
    • Condensed Matter Physics
    • Physics and Astronomy(all)

    Cite this

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    title = "Parameter evaluation from time sequences using chaos synchronization",
    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.",
    author = "Hidetsugu Sakaguchi",
    year = "2002",
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    day = "1",
    doi = "10.1103/PhysRevE.65.027201",
    language = "English",
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    publisher = "American Physical Society",
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    AB - 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.

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