๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Improved exponential stability criteria for recurrent neural networks with time-varying discrete and distributed delays

โœ Scribed by Yuan-Yuan Wu; Tao Li; Yu-Qiang Wu

Publisher
Institute of Automation, Chinese Academy of Sciences
Year
2010
Tongue
English
Weight
238 KB
Volume
7
Category
Article
ISSN
1476-8186

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

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

Global exponential stability of generali
Global exponential stability of generalized recurrent neural networks with discrete and distributed delays
โœ Yurong Liu; Zidong Wang; Xiaohui Liu ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 159 KB

This paper is concerned with analysis problem for the global exponential stability of a class of recurrent neural networks (RNNs) with mixed discrete and distributed delays. We first prove the existence and uniqueness of the equilibrium point under mild conditions, assuming neither differentiability