๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Mean square exponential stability in high-order stochastic impulsive neural networks with time-varying delays

โœ Scribed by Haibo Gu; Haijun Jiang; Zhidong Teng


Book ID
107619808
Publisher
Springer-Verlag
Year
2008
Tongue
English
Weight
418 KB
Volume
30
Category
Article
ISSN
1598-5865

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Mean square exponential stability of sto
โœ Chuangxia Huang; Yigang He; Hainu Wang ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 288 KB

The stability of a class of stochastic Recurrent Neural Networks with time-varying delays is investigated in this paper. With the help of the Lyapunov function and the Dini derivative of the expectation of V (t, X (t)) ''along'' the solution X (t) of the model, a set of novel sufficient conditions o

Global exponential stability for impulsi
โœ Shair Ahmad; Ivanka M. Stamova ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 245 KB

In this paper, we study the problem of global exponential stability for cellular neural networks (CNN) with time-varying delays and fixed moments of impulsive effect. We establish several stability criteria by employing Lyapunov functions and the Razumikhin technique.