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

作者：Shao, Jin-Liang; Huang, Ting-Zhu^*; Wang, Xiao-Ping

来源：Expert Systems with Applications, 2011, 38(12): 15587-15593.

DOI：10.1016/j.eswa.2011.05.066

• Interval neural networks
• Global robust exponential stability
• H-matrix
• Linear matrix inequality (LMI)

In this paper, by developing a new approach based on H-matrix 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.

• 出版日期2011-12
• 单位电子科技大学