A Further Result for Exponential Stability of Neural Networks with Time-Varying Delays

This paper presents several exponential stability criteria for delayed neural networks with time-varying delays and a general class of activation functions, which are derived by employing Lyapyunov-Krasovskii functional approach and linear matrix inequality technique. The proposed results are shown theoretically and numerically to be less restrictive and more easily verified than those reported recently in the open literature. In addition, an approach to estimate the degree of exponential convergence is also formulated.

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