计算物理 ›› 2003, Vol. 20 ›› Issue (1): 31-36.

• 论文 • 上一篇    下一篇

用常数周期脉冲方法控制耦合标准映象的混沌

许海波, 王光瑞, 陈式刚   

  1. 北京应用物理与计算数学研究所, 北京 100088
  • 收稿日期:2001-09-24 修回日期:2002-01-21 出版日期:2003-01-25 发布日期:2003-01-25
  • 作者简介:许海波(1966-),maiI,Henan,Associate Professor,PhD,StatisticaI Physics. P. O. Box 8009-16,100088.
  • 基金资助:
    Supported by the SpeciaI Funds for Major State Basic Research Projects,the NationaI NaturaI Science Foundation of China under Grant No. 19835020 and 19920003,and Science Foundation of China Academy of Engineering Physics under Grant No. 20000440

Controlling Chaos by the Constant Periodic Pulse Method in Two Coupled Standard Maps

XU Hai-bo, WANG Guang-rui, CHEN Shi-gang   

  1. Institute of Applied Physics and Computational Mathematics, Beijing 100088, China
  • Received:2001-09-24 Revised:2002-01-21 Online:2003-01-25 Published:2003-01-25
  • Supported by:
    Supported by the SpeciaI Funds for Major State Basic Research Projects,the NationaI NaturaI Science Foundation of China under Grant No. 19835020 and 19920003,and Science Foundation of China Academy of Engineering Physics under Grant No. 20000440

摘要: 将用常数周期脉冲方法控制保守系统的混沌运动的方法,用于控制高维系统耦合标准映象的混沌运动,计算了系统参数K=0.8和耦合常数 β=0.04的有限时间李雅普诺夫指数,考察了不同系统参数和耦合常数下的有限时间李雅普诺夫指数随迭代次数的的演化规律.从各次迭代的有限时间收敛区选择满足期望动力学特征的轨道片段,施加适当的脉冲强度,找出其对应的周期不动点,从而得到期望的周期轨道.

关键词: 有限时间李雅普诺夫指数, 混沌控制, 轨道片段, 加性噪声

Abstract: A constant periodic pulse method for controlling chaos which makes the stable segment of the chaotic orbit form a closed orbit by acting periodic pulses on the system variables is proposed on the basis of the finite time Lyapunov exponents. This method is applied to a high dimensional system with two coupled standard maps. In addition to the results obtained in the low dimensional systems, the stabilized periodic orbit whose period is a multiple of the pulse interval is also found. This is one of the characters of the periodic pulse method. This method is robust under the presence of weak external noise.

Key words: finite time Lyapunov exponents, chaos control, stable segment, additive noise

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