Global Exponential Synchronization of Delayed BAM Neural Networks

نویسندگان

  • Meng Wang
  • Jianfeng Teng
  • Erlin Liu
چکیده

In order to enhance the presented synchronization scheme level, this paper deals with the synchronization problem of a class of bidirectional associative memory (BAM) neural networks with delays. Using the drive-response concept, a feedback control law is derived to achieve the state synchronization of two identical BAM neural networks. Moreover, based on the Lyapunov stability method and the Halanay inequality lemma, two delay-independent sufficient exponential synchronization conditions are derived. The results in the present study provide new insights into the exponential synchronization of BAM neural networks. An example is given to show the effectiveness of the obtained results.

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عنوان ژورنال:
  • JNW

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2014