Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
406682 | Neurocomputing | 2014 | 9 Pages |
Abstract
This paper deals with the problem of robust exponential stability for a class of uncertain stochastic neural networks with multiple delays. Based on the multiple-difference-dependent Lyapunov–Krasovskii functional and free-weighting matrices method, some novel stability criteria for the addressed uncertain stochastic neural networks are derived. At last, two numerical examples are presented to show the effectiveness and improvement of the proposed results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jianwei Xia, Ju H. Park, Hongbing Zeng, Hao Shen,