Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4631241 | Applied Mathematics and Computation | 2010 | 8 Pages |
Abstract
This paper is concerned with the stability and periodicity for a class of impulsive neural networks with delays. By means of the Fixed point theory, Lyapunov functional and analysis technique, some sufficient conditions of exponential stability and periodicity are obtained. We can see that impulses do contribution to the stability and periodicity. An example is given to demonstrate the effectiveness of the obtained results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Fengjian Yang, Chaolong Zhang, Dongqing Wu, Xinming Chen, Jianfu Yang,