摘要
针对一类含保密信息的时变延迟混沌神经网络,提出了同结构H∞同步控制方案,在实现同步后能有效恢复出隐藏的多路明文信号。利用线性矩阵不等式方法为同结构时变延迟混沌神经网络设计了H∞同步控制器,在此基础上应用Lyapunov方法分析了同步误差的收敛性。当同步误差收敛时,可根据被动系统状态恢复出所传输的隐藏信号。仿真结果表明,该控制方案可以实现变时延混沌神经网络同步,并能恢复出多路明文信号。
An H∞ synchronization control scheme is proposed for time varying delayed chaotic neural networks with secure information. When the synchronization of time varying delayed chaotic neural networks is achieved, the secure information can he efficiently recovered. Using linear matrix inequality （LMI） technology, the H∞ synchronization controller is proposed and the convergence of the synchronization error is analyzed using the Lyapunov method. After the synchronization error is satisfied, the hidden information can be obtained according to the states of the slave chaotic neural network system. Simulation results demonstrate that the proposed H∞ synchronization scheme can efficiently achieve the synchronization between two time-varying delayed chaotic neural networks and multi-channel signals can be recovered.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2011年第9期2111-2116,共6页
Systems Engineering and Electronics
基金
航空科学基金(20105152029)
南京航空航天大学基本科研业务费专项科研项目(NS2010060)资助课题
关键词
保密通信
混沌同步
混沌神经网络
H∞控制
线性矩阵不等式
secure communication
chaotic synchronization
chaotic neural networks
H∞ control
linear matrix inequality （LMI）
