Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1706849 | Applied Mathematical Modelling | 2009 | 13 Pages |
Abstract
By using the continuation theorem of Mawhin’s coincidence degree theory and some inequality techniques, some new sufficient conditions are obtained ensuring existence and global exponential stability of periodic solution of neural networks with variable coefficients and time-varying delays. These results are helpful to design globally exponentially stable and oscillatory neural networks. Finally, the validity and performance of the obtained results are illustrated by two examples.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Mingjia Tan, Yong Tan,