Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4627400 | Applied Mathematics and Computation | 2014 | 13 Pages |
Abstract
In this paper, a class of periodic Cohen–Grossberg neural networks with discrete and distributed time-varying delays is considered. By an extension of the Lyapunov–Krasovskii functional method, a novel criterion for the existence and uniqueness and global asymptotic stability of positive periodic solution is derived in terms of M-matrix without any restriction on uniform positiveness of the amplification functions. Comparison and illustrative examples are given to illustrate the effectiveness of the obtained results.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
L.V. Hien, T.T. Loan, B.T. Huyen Trang, H. Trinh,