摘要
提出一种利用模拟退火算法来控制混沌运动的方法,可以在目标轨道未知的情况下,采用随机的方式持续地对系统控制参数进行“生成—判断—接受/舍弃”,通过这种自我“学习”过程,选择最佳的参数进行控制,从而使混沌系统趋于并最终稳定于系统的均衡解.实现了Log istic和H enon映射中的混沌运动控制,仿真实验结果表明该方法是非常有效的.
A simulated annealing algorithm is introduced into the control of chaotic system. When the stable orbit is unknown, this method can keep the control parameters of the system in a random way to ＂create-judge-accept/discard＂. After the process of self-training, the chaotic system will be controlled to the stable state with the optimal parameter. The chaotic behaviors of the Logistic and Henon equations are controlled by this method. The simulated results have shown that the algorithm is very effective.
出处
《甘肃科学学报》
2006年第4期67-70,共4页
Journal of Gansu Sciences
关键词
算法
模拟退火
混沌运动
aglorithm
simulated annealing
chaoic motion
