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

摘要

This paper focuses on the issue of exponential stability for delayed neural networks with time-varying delays. A further result associated with this issue is exploited by employing a new Lyapunov-Krasovskii functional together with linear matrix inequality technique. Moreover, an approach to estimate the degree of exponential convergence is formulated.