Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4637292 | Applied Mathematics and Computation | 2006 | 15 Pages |
Abstract
A generalized Halanay inequality is established, and the boundedness of generalized Cohen–Grossberg neural networks is investigated. By applying the generalized Halanay inequality and Lyapunov functional method, new sufficient conditions are obtained ensuring the global exponential stability of the solution of the generalized Cohen–Grossberg neural networks with variable delay. Three examples are also given for illustration.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Minghui Jiang, Yi Shen, Xiaoxin Liao,