Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
412716 | Neurocomputing | 2010 | 7 Pages |
Abstract
Discrete-time impulsive Cohen–Grossberg neural network (CGNN) with and without delayed time is studied in this paper. Some stability criteria are obtained to ensure the global asymptotic/exponential stability of the equilibrium point of discrete-time impulsive CGNN by discrete-time Halanay inequality. It is shown that the discrete-time impulsive CGNN can achieve the global exponential stability of the impulse-free CGNN even if the impulses have enlarging effects on the states of neurons.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Shigang Zhong, Chuandong Li, Xiaofeng Liao,