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Lorenz系统的混沌同步控制及计算机仿真
引用本文:杨永胜,徐道临,乔燕,王少新.Lorenz系统的混沌同步控制及计算机仿真[J].计算机仿真,2007,24(5):316-318,333.
作者姓名:杨永胜  徐道临  乔燕  王少新
作者单位:1. 大连理工大学船舶工程学院,辽宁,大连,116023
2. 南洋理工大学,新加坡,639798
摘    要:针对Lorenz系统提出了以一定的耦合比例系数,实现主动系统和被动系统的同步控制以及计算机仿真.计算机仿真结果表明:在控制的过程中,控制周期随着松弛系数值的增大而减小,较大的松弛系数导致较快的控制.这个控制法则来源于李雅普诺夫稳定性原理,可以用来控制非同步系统达到同步,最终实现所要求的P-同步,即通过加入微小的控制可以在短时间内按任意比例系数实现对主动系统的响应的放大或缩小.数值仿真结果证实了所提新方法的有效性,并且可以按照实际需要的耦合比例实现同步控制.

关 键 词:混沌同步控制  耦合比例系数  计算机仿真  Lorenz  同步系统  混沌同步控制  算机仿真  Computer  Simulation  Chaotic  Systems  Control  比例系数  有效性  方法  系数值  响应  时间  稳定性原理  李雅普诺夫  来源  控制法则  松弛系数  控制周期  过程
文章编号:1006-9348(2007)05-0316-03
修稿时间:2006-04-072006-04-18

Synchronous Control in Chaotic Systems of Lorenz and the Computer Simulation
YANG Yong-sheng,XU Dao-lin,QIAO Yan,WANG Shao-xin.Synchronous Control in Chaotic Systems of Lorenz and the Computer Simulation[J].Computer Simulation,2007,24(5):316-318,333.
Authors:YANG Yong-sheng  XU Dao-lin  QIAO Yan  WANG Shao-xin
Affiliation:1. The Department of Naval Architecture of DLUT, Dalian Liaoning 116023, China; 2. Nanyang Technological University, 639798 Singapore
Abstract:Synchronous control of the master system and slave systems for the system of Lorenz and computer numerical simulation are realized in this paper. The computer numerical simulation shows that the transient period of control is generally reduced with an increase of the value of the slack constant. Clearly, the larger slack constant leads to higher convergence rate in the control. The control law is derived from Lyapunov stability theory. This control method could be employed to make a nonsynchronous system be synchronized, and manipulate the ultimate state of projective synchronization to any desired ratio. It allows us to use tiny control inputs to amplify or reduce the response of the driven system to any scale in a short transient period. The numerical simulation result confirms the effectiveness of the new method, and the method can realize the synchronous control according to the coupling ratio of demand.
Keywords:Synchronous control of chaos  Coupled scale factor  Computer simulation
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