Directing orbits of chaotic systems using a hybrid optimization strategy

Ling Wang; Ling Lai Li; Fang Tang

doi:10.1016/j.physleta.2004.02.026

Directing orbits of chaotic systems using a hybrid optimization strategy

Ling Wang^*
, Ling Lai Li
, Fang Tang

^*此作品的通讯作者

物理学院

Tsinghua University

科研成果: 期刊稿件 › 文章 › 同行评审

30 引用（Scopus）

摘要

This Letter applies an effective hybrid optimization strategy (simplex-annealing strategy) for high-dimensional functions to direct the orbits of discrete chaotic dynamical systems towards desired target region within a short time by adding only small bounded perturbations. Moreover, we also study the synchronization of chaotic systems, which can be dealt with as a problem of directing orbits. Numerical simulations based on Hénon map demonstrate the effectiveness of the strategy.

源语言	英语
页（从-至）	22-25
页数	4
期刊	Physics Letters, Section A: General, Atomic and Solid State Physics
卷	324
期	1
DOI	https://doi.org/10.1016/j.physleta.2004.02.026
出版状态	已出版 - 5 4月 2004

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abstract = "This Letter applies an effective hybrid optimization strategy (simplex-annealing strategy) for high-dimensional functions to direct the orbits of discrete chaotic dynamical systems towards desired target region within a short time by adding only small bounded perturbations. Moreover, we also study the synchronization of chaotic systems, which can be dealt with as a problem of directing orbits. Numerical simulations based on H{\'e}non map demonstrate the effectiveness of the strategy.",

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AB - This Letter applies an effective hybrid optimization strategy (simplex-annealing strategy) for high-dimensional functions to direct the orbits of discrete chaotic dynamical systems towards desired target region within a short time by adding only small bounded perturbations. Moreover, we also study the synchronization of chaotic systems, which can be dealt with as a problem of directing orbits. Numerical simulations based on Hénon map demonstrate the effectiveness of the strategy.

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Directing orbits of chaotic systems using a hybrid optimization strategy

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