𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Stability Analysis of Stochastic Fuzzy Cellular Neural Networks With Time-Varying Delays and Reaction-Diffusion Terms

✍ Scribed by Qintao Gan; Rui Xu; Pinghua Yang


Publisher
Springer US
Year
2010
Tongue
English
Weight
287 KB
Volume
32
Category
Article
ISSN
1370-4621

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Robust stability of uncertain fuzzy cell
✍ P. Balasubramaniam; M. Syed Ali πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier Science 🌐 English βš– 309 KB

In this paper, the problem of global asymptotic stability for uncertain fuzzy cellular neural networks with timevarying delays and reaction diffusion terms is considered. Based on Lyapunov stability theory combined with linear matrix inequality (LMI) techniques some new stability criteria in terms o

Global asymptotic stability of stochasti
✍ M. Syed Ali; P. Balasubramaniam πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 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

Global exponential stability of interval
✍ Zhengqiu Zhang; Yan Yang; Yesheng Huang πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 313 KB

In this paper, we first discuss the existence and uniqueness of the equilibrium point of interval general BAM neural networks with reaction-diffusion terms and multiple time-varying delays by means of using degree theory. Then by applying the existence result of an equilibrium point and constructing