𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Dynamical behaviors of reaction–diffusion fuzzy neural networks with mixed delays and general boundary conditions

✍ Scribed by Teng Lv; Ping Yan

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
240 KB
Volume
16
Category
Article
ISSN
1007-5704

No coin nor oath required. For personal study only.

✦ Synopsis

In this paper, we study delayed reaction-diffusion fuzzy neural networks with general boundary conditions. By using topology degree theory and constructing suitable Lyapunov functional, some sufficient conditions are given to ensure the existence, uniqueness and globally exponential stability of the equilibrium point. Finally, an example is given to verify the theoretical analysis.

📜 SIMILAR VOLUMES

Robust stability of uncertain fuzzy cell
Robust stability of uncertain fuzzy cellular neural networks with time-varying delays and reaction diffusion terms
✍ P. Balasubramaniam; M. Syed Ali 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 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 exponential stability of interval
Global exponential stability of interval general BAM neural networks with reaction–diffusion terms and multiple time-varying delays
✍ Zhengqiu Zhang; Yan Yang; Yesheng Huang 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 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