Abstract

In this paper, several novel sufficient criteria are derived for checking the uniqueness and global robust exponential stability of the equilibrium point for interval Cohen-Grossberg neural networks with time-varying delays. A new approach combing the Lyapunov functional with the matrix inequality techniques is taken to investigate this problem. Also, some remarks and two examples are given to show the effectiveness of the proposed results.

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