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基于模糊遺傳算法的混沌同步控制算法

Synchronization of Chaos Based on Fuzzy Genetic Algorithm

  • 摘要: 連續變量反饋同步法(CVFS)是一種比較簡單的同步控制算法,但該算法在實際應用中存在一個關鍵的問題,即反饋系數的整定比較困難.為了解決這個問題,在把模糊遺傳算法(FGA)和連續變量反饋同步法(CVFS)相結合,提出了一種基于模糊遺傳算法的連續變量反饋同步法(FGACVFS).仿真結果表明:FGACVFS算法能方便有效地進行整定工作.

     

    Abstract: Continuous Variable Feedback Synchronization(CVFS) algorithm is a simple control method for the synchronization of chaos. However, the adjustment of the feedback value in CVFS algorithm is very difficult. In order to solve this problem, a new algorithm named FGACVFS, which combined fuzzy genetic algorithm (FGA) with CVFS is proposed. The simulation result show that the a djustment of the kii (the elements in feeback matrix) is very convenient and efficient.

     

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