摘要
根据细胞神经网络超混沌系统的特点,求得混沌驱动系统与响应系统之间的误差系统.基于该误差系统,提出了混沌系统的同步条件:使同步误差大范围渐近稳定,然后采用非线性系统的无源化方法设计了使误差系统大范围渐近稳定的反馈镇定器.四阶细胞神经网络超混沌系统的计算机仿真验证了该方法的有效性.
Based on a certain characteristic of cellular neural network hyper-chaotic system, an error system for the drive system and response system is got, and the problem of synchronization of hyper-chaotic system is put forward thereupon. The problem is to ensure the global approximate stability of the synchronization error system. A kind of passivity method is adopted to design stable feedback controller to ensure global approximate stability of the error system. The simulation result of the hyper-chaotic system of four order cellular neural network testifies the validity of the method.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2006年第4期1651-1658,共8页
Acta Physica Sinica
关键词
混沌同步
误差系统
无源化
细胞神经网络超混沌系统
synchronization of chaotic system, error system, passivity, hyper-chaotic system of cellular neural network
