摘要
将Rssler混沌系统作为神经元,先建立星形子网络,再将子网络的中心神经元按照完全连接形式连接,构建复合型网络.采用并扩展使2个混沌系统同步的稳定性准则(SC)同步方法,对所构建的复合型网络的同步控制进行理论研究与数值模拟分析.提出了复合型网络的系统耦合方程,以及网络中神经元之间的同步误差发展方程.通过对相关耦合强度因子的控制,将参数对网络同步的形式与过程的影响进行了详细的讨论,得到了复合型网络中可能存在的混沌同步类型与相对应的参数控制范围,并证明了SC同步方法可以有效地解决由星形和完全连接型子网络构成的复合型网络的混沌同步问题.
The Rossler chaotic system is considered as neurons,a sub network of star-shaped is firstly established.Then a composite large network is constructed by connecting the center neuron of the sub network with all-to-all-coupling connection. Using and extending the stability criterion(SC)synchronization method of two chaotic systems,theoretical research and numerical simulation are carried out for the constructed network.The system coupled equations of the network and the synchronization error development equations between the neurons in the network are provided.By controlling the dependent coupling intensity factor,the influence of parameters on network synchronization form and process are discussed in detail,and the possible chaos synchronization types and the ranges of the controlled parameter are obtained.Also,it is proved that the SC synchronization method is effectively useful to solve the chaotic synchronization problem of the composite network composed of the star-shaped and all-to-all-coupling.
作者
于洪洁
董奕煊
YU Hongjie;DONG Yixuan(School of Naval Architecture,Ocean and Civil Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2018年第12期1559-1564,共6页
Journal of Shanghai Jiaotong University
关键词
ROSSLER系统
同步方法
混沌同步
非线性耦合函数
复合神经网络
Rossler system
synchronization method
chaotic synchronization
non-linear coupled func tion
composite neural network