Abstract
This paper is concerned with the global exponential stability of equilibrium point for a kind of neural networks with time-varying delays and impulsive perturbations. By using M-matrix theory, Halanay inequality and some analysis techniques, a novel condition is obtained to ascertain the global exponential stability of these networks. The derived result improves and extends some related results in the literature. Finally, an illustrative example is provided to demonstrate the effectiveness of our theoretical results.
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