Further analysis on global robust exponential stability of neural networks with time-varying delays

In this paper, an approach based on H-matrix theory and Halanay inequality is developed to present a sufficient condition for global robust exponential stability of interval neural networks with time-varying delays. Theoretic analysis shows that our result includes a previous result derived in the literature. Finally, some numerical examples are given to show the effectiveness of the obtained results.

► Global robust exponential stability of interval neural networks with time-varying delays is studied.
► An approach combining H-matrix theory and Halanay inequality is developed to derive a new sufficient condition.
► The derived result includes a previous result in the literature.
► Numerical examples are given to show the effectiveness of the obtained results.