๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Global exponential stability of cellular neural networks with time-varying discrete and distributed delays

โœ Scribed by Keyun Ma; Li Yu; Wen-an Zhang

Book ID
113816144
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
176 KB
Volume
72
Category
Article
ISSN
0925-2312

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Global exponential stability for impulsi
Global exponential stability for impulsive cellular neural networks with time-varying delays
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.

On global exponential stability for impu
On global exponential stability for impulsive cellular neural networks with time-varying delays
โœ Ivanka M. Stamova; Rajcho Ilarionov ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 295 KB

In this paper, the problem of global exponential stability for cellular neural networks (CNNs) with time-varying delays and fixed moments of impulsive effect is studied. A new sufficient condition has been presented ensuring the global exponential stability of the equilibrium points by using piecewi

Global asymptotic stability of stochasti
Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple discrete and distributed time-varying delays
โœ M. Syed Ali; P. Balasubramaniam ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 278 KB

In this paper, the Takagi-Sugeno (T-S) fuzzy model representation is extended to the stability analysis for stochastic cellular neural networks with multiple discrete and distributed time varying delays. A novel linear matrix inequality (LMI) based stability criterion is derived to guarantee the asy