In this paper, the global asymptotic stability is investigated for a class of neutral stochastic neural networks with time-varying delays and norm-bounded uncertainties. Based on Lyapunov stability theory and stochastic analysis approaches, delay-dependent criteria are derived to ensure the global,
โฆ LIBER โฆ
Global Asymptotic Stability Analysis of Neural Networks with Time-Varying Delays
โ Scribed by Zhang Qiang; Xiaopeng Wei; Jin Xu
- Publisher
- Springer US
- Year
- 2005
- Tongue
- English
- Weight
- 97 KB
- Volume
- 21
- Category
- Article
- ISSN
- 1370-4621
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Global asymptotic stability analysis for
Global asymptotic stability analysis for neutral stochastic neural networks with time-varying delays
โ
Weiwei Su; Yiming Chen
๐
Article
๐
2009
๐
Elsevier Science
๐
English
โ 184 KB
Global Asymptotic Robust Stability and G
โ
Jin-Liang Shao; Ting-Zhu Huang; Sheng Zhou
๐
Article
๐
2009
๐
Springer US
๐
English
โ 232 KB
New results for global robust asymptotic
โ
Yufa Yuan; Xiaolin Li
๐
Article
๐
2010
๐
Elsevier Science
๐
English
โ 246 KB
A LMI-based approach to global asymptoti
โ
Wenwu Yu
๐
Article
๐
2006
๐
Springer Netherlands
๐
English
โ 311 KB
Global exponential stability analysis of
โ
Yangling Wang
๐
Article
๐
2009
๐
Elsevier Science
๐
English
โ 679 KB
Global robust stability of interval neur
โ
Qiankun Song; Jinde Cao
๐
Article
๐
2007
๐
Elsevier Science
๐
English
โ 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