Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type

نویسندگان

  • Gang Bao
  • Shiping Wen
  • Zhigang Zeng
چکیده

In this paper, existence and uniqueness of the solution of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument are discussed. Based on the comparison principle, it presents new theoretical results on the global robust exponential stability of interval fuzzy Cohen-Grossberg networks with piecewise constant argument. As a special case, the corresponding results of interval fuzzy recurrent neural networks with piecewise constant argument are derived. Three examples are given for illustrating validity of the obtained results.

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

دوره 33  شماره 

صفحات  -

تاریخ انتشار 2012