科研之友
微信
新浪微博
Facebook
分享链接
摘要
This paper addresses the global robust stability for uncertain neural networks with discrete and distributed delays. By using the Lyapunov stability theory, homomorphic mapping theory and matrix theory, improved sufficient robust stability conditions for uncertain neural networks with mixed delays are presented. Our results can be verified easily. The advantage of the proposed results is that they can be expressed in terms of network parameters only. Finally, two illustrative numerical examples are provided to show the validity comparing with the existing corresponding results.
