李擎, 郑德玲, 杨林浩. 基于模糊遗传算法的混沌同步控制算法[J]. 工程科学学报, 2001, 23(2): 184-188. DOI: 10.13374/j.issn1001-053x.2001.02.025
引用本文: 李擎, 郑德玲, 杨林浩. 基于模糊遗传算法的混沌同步控制算法[J]. 工程科学学报, 2001, 23(2): 184-188. DOI: 10.13374/j.issn1001-053x.2001.02.025
shu
LI Qing, ZHENG Deling, YANG Linhao. Synchronization of Chaos Based on Fuzzy Genetic Algorithm[J]. Chinese Journal of Engineering, 2001, 23(2): 184-188. DOI: 10.13374/j.issn1001-053x.2001.02.025
Citation: LI Qing, ZHENG Deling, YANG Linhao. Synchronization of Chaos Based on Fuzzy Genetic Algorithm[J]. Chinese Journal of Engineering, 2001, 23(2): 184-188. DOI: 10.13374/j.issn1001-053x.2001.02.025
shu

基于模糊遗传算法的混沌同步控制算法

Synchronization of Chaos Based on Fuzzy Genetic Algorithm

    摘要
  • 摘要: 连续变量反馈同步法(CVFS)是一种比较简单的同步控制算法,但该算法在实际应用中存在一个关键的问题,即反馈系数的整定比较困难.为了解决这个问题,在把模糊遗传算法(FGA)和连续变量反馈同步法(CVFS)相结合,提出了一种基于模糊遗传算法的连续变量反馈同步法(FGACVFS).仿真结果表明:FGACVFS算法能方便有效地进行整定工作.

     

    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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