Intermittent Impulsive Synchronization of Chaotic Delayed Neural Networks

نویسندگان

  • Xinzhi Liu
  • Xuemin Shen
  • Hongtao Zhang
چکیده

In this paper, a novel intermittent impulsive synchronization scheme is proposed to realize synchronization of two chaotic delayed neural networks. Intermittent impulsive control breaks through the limitation of the upper bound of the impulsive intervals in general impulsive control. In our synchronization scheme, impulsive control is only activated in the control windows, rather than during the whole time. Several synchronization criteria for chaotic delayed neural networks are established utilizing the method of linear matrix inequalities (LMI) and the Lyapunov–Razumikhin technique. Two numerical examples are given to demonstrate the effectiveness of our main results.

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تاریخ انتشار 2011