Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (9): 2111-2116.doi: 10.3969/j.issn.1001-506X.2011.09.36

• 通信与网络 • 上一篇    下一篇

基于时变延迟混沌神经网络的H同步保密通信

梅蓉1,2, 吴庆宪2, 陈谋2, 姜长生2
  

  1. 1. 南京森林警察学院侦查系, 江苏 南京 210042
    2. 南京航空航天大学自动化学院, 江苏 南京 210016
  • 出版日期:2011-09-17 发布日期:2010-01-03

Secure communication based on H synchronization of time varying delay chaotic neural networks

MEI Rong1,2, WU Qing-xian2, CHEN Mou2, JIANG Chang-sheng2
  

  1. 1. Criminal Investigation Department, Nanjing Forest Police College, Nanjing 210042, China
    2. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Online:2011-09-17 Published:2010-01-03

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。

Abstract:

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 be efficiently recovered. Using linear matrix inequality (LMI) technology, the Hsynchronization 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  Hsynchronization scheme can efficiently achieve the synchronization between two time varying delayed chaotic neural networks and multi-channel signals can be recovered.