Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
975094 | Physica A: Statistical Mechanics and its Applications | 2008 | 11 Pages |
Abstract
In this paper, we investigate the global robust stability for uncertain stochastic neural networks with unbounded time-varying delays and norm-bounded parameter uncertainties. A new concept of global robust μμ-stability in the mean square for neural networks is given first, then by means of the linear matrix inequality (LMI) approach, stability criteria are presented. Several corollaries are also derived. A simple example is presented to demonstrate the effectiveness of the main result.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Xiwei Liu, Tianping Chen,