| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 410264 | Neurocomputing | 2013 | 8 Pages |
Abstract
In this paper, the problem of stochastic stability of neutral-type neural networks with Markovian jumping parameters is considered. By choosing an mode-dependent Lyapunov–Krasovskii functional, novel delay-dependent stochastically stable conditions 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
Weimin Chen, Lanning Wang,