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Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of
Gang Bao1, Shiping Wen, Zhigang Zeng
1Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Abstract:
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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