Robust exponential stability for uncertain stochastic neural networks with mixed time-varying delays

摘要

In this paper, novel theorem and corollaries are presented regarding the robust exponential stability of uncertain neural networks with mixed time-varying delays including discrete delays and distributed delays. The stability conditions in the new results improve and generalize existing ones. Several examples are included to show the effectiveness of the result.