Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1868413 | Physics Letters A | 2006 | 9 Pages |
Abstract
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study the existence and global exponential stability of periodic solution for delayed high-order Hopfield-type neural networks. We obtain some easily verifiable sufficient conditions. An illustrative example is given to demonstrate the effectiveness of our main results.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
Hong Xiang, Ke-Ming Yan, Bai-Yan Wang,