๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Global exponential stability analysis for cellular neural networks with variable coefficients and delays

โœ Scribed by Yonggui Kao; Cunchen Gao


Publisher
Springer-Verlag
Year
2007
Tongue
English
Weight
193 KB
Volume
17
Category
Article
ISSN
0941-0643

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Global stability of cellular neural netw
โœ Xue Mei Li; Li Hong Huang; Huiyan Zhu ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 138 KB

This paper gives new conditions ensuring global asymptotic stability and global exponential stability for cellular neural networks with constant delay and variable delay, respectively. These conditions are derived by using the essence of piecewise linearity of the output function of cellular neural

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.

On global exponential stability for impu
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 exponential stability of a class
โœ W. Zheng; J. Zhang ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 441 KB

In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of a class of neural networks with variable delays are studied. Without assuming global Lipschitz conditions on these activation functions, applying idea of vector Lyapunov functio