๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Global Asymptotic Robust Stability and Global Exponential Robust Stability of Neural Networks with Time-Varying Delays

โœ Scribed by Jin-Liang Shao; Ting-Zhu Huang; Sheng Zhou

Publisher
Springer US
Year
2009
Tongue
English
Weight
232 KB
Volume
30
Category
Article
ISSN
1370-4621

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Global robust stability of interval neur
Global robust stability of interval neural networks with multiple time-varying delays
โœ Qiankun Song; Jinde Cao ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 178 KB

In this paper, the global robust stability is investigated for interval neural networks with multiple time-varying delays. The neural network contains time-invariant uncertain parameters whose values are unknown but bounded in given compact sets. Without assuming both the boundedness on the activati

Some improved criteria for global robust
Some improved criteria for global robust exponential stability of neural networks with time-varying delays
โœ Jin-Liang Shao; Ting-Zhu Huang; Sheng Zhou ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 332 KB

## a b s t r a c t In this paper, some sufficient conditions for global robust exponential stability of interval neural networks with time-varying delays are presented. It is shown that our results include some counterparts of the previous literatures. On basis of the obtained results, some linear