Improved global robust exponential stability criteria for interval neural networks with time-varying delays

摘要

In this paper, by developing a new approach based on H-matnx theory, some improved sufficient conditions for global robust exponential stability of interval neural networks with time-varying delays are presented. Theoretic analysis shows that our results improve and generalize some previously published ones. Finally, some numerical examples are given to show the effectiveness of the obtained results.