Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
410191 | Neurocomputing | 2011 | 7 Pages |
Abstract
In this paper, the problem of stability analysis for a general class of uncertain stochastic neural networks with Markovian jumping parameters and mixed mode-dependent delays is considered. By the use of a new Markovian switching Lyapunov–Krasovskii functional, delay-dependent conditions on mean square asymptotic stability are derived in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the proposed approach.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Qian Ma, Shengyuan Xu, Yun Zou, Jinjun Lu,