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 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.