Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays

نویسندگان

  • Mustafa Sayli
  • Enes Yilmaz
چکیده

In this paper, we consider existence and global exponential stability of periodic solution for state-dependent impulsive shunting inhibitory cellular neural networks with time-varying delays. By means of B-equivalence method, we reduce these state-dependent impulsive neural networks system to an equivalent fix time impulsive neural networks system. Further, by using Mawhin's continuation theorem of coincide degree theory and employing a suitable Lyapunov function some new sufficient conditions for existence and global exponential stability of periodic solution are obtained. Previous results are improved and extended. Finally, we give an illustrative example with numerical simulations to demonstrate the effectiveness of our theoretical results.

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عنوان ژورنال:
  • Neural networks : the official journal of the International Neural Network Society

دوره 68  شماره 

صفحات  -

تاریخ انتشار 2015