摘要
针对目前混沌系统同步时间长、混沌同步特性不理想的问题,在系统参数已知的情况下,提出了单向耦合和主动控制相结合的混沌同步方法。研究了实时性强、动力学特征复杂的细胞神经网络产生的三阶混沌特性,分别采用传统混沌同步算法和改进混沌同步算法对细胞神经网络的混沌系统进行仿真。结果证明,改进算法比传统算法的同步时间明显缩短,混沌同步性能得到了改善。
A new synchronized method which combines one way coupling and active control is proposed in order to solve the problems of long synchronization time and bad synchronization characteristics. Chaotic characteristics of third-order cellular neural network is studied. Ttraditional synchronized method and modified synchronized method are applied to achieve the state synchronization of cellular neural network systems. The results show that the the modified method has shorter synchronization time and better synchronization performance compared with the traditional method.
基金
航天支撑基金项目(01310600)
关键词
信号与信息处理
细胞神经网络
混沌同步
主动控制
signal and information processing
cellular neural network
chaotic synchronization
active control
