Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
407323 | Neurocomputing | 2012 | 10 Pages |
Abstract
This paper concerned the problem of exponential stability criteria for neural networks with discrete and distributed time-varying delays. By dividing the delay interval into multiple segments and choosing a new Lyapunov functional, some improved stability criteria are derived in terms of linear matrix inequalities. The obtained criteria are less conservative due to a convex optimization approach is considered. Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Junkang Tian, Shouming Zhong, Yong Wang,