Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
408257 | Neurocomputing | 2011 | 7 Pages |
Abstract
This paper is concerned with the robust delay-dependent exponential stability of uncertain stochastic neural networks (SNNs) with mixed delays. Based on a novel Lyapunov–Krasovskii functional method, some new delay-dependent stability conditions are presented in terms of linear matrix inequalities, which guarantee the uncertain stochastic neural networks with mixed delays to be robustly exponentially stable. Numerical examples are given to illustrate the effectiveness of our results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Feiqi Deng, Mingang Hua, Xinzhi Liu, Yunjian Peng, Juntao Fei,