New criteria on global exponential stability of bam neural networks with distributed delays and reaction-diffusion terms.
This paper presents new theoretical results on global exponential stability of bi-directional associative memory neural networks with distributed delays and reaction-diffusion terms based on the inequality technique, Lyapunov functional, and analysis technique. The results remove the usual assumption that the activation functions are of monotonous or differential character. Exponential converging velocity index is estimated, which depends on the delay kernel functions and system parameters. Finally, two numerical examples are given to show the validity and feasibility of our results.
Lou
Xuyang
X
Research Center of Control Science and Engineering, Southern Yangtze University, 1800 Lihu Road, Wuxi, Ijangsu 214122, P.R. China. louxuyang28945@163.com
Cui
Baotong
B
D000465:Algorithms; D009415:Nerve Net