Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1861324 | Physics Letters A | 2008 | 8 Pages |
Abstract
This Letter is concerned with delay-dependent robust exponential mean square stability for delayed uncertain Hopfield neural networks with Markovian jumping parameters. Time delays here are discrete and distributed time-varying delays. Based on Lyapunov–Krasovskii stability theory, delay-dependent stability conditions are derived in terms of linear matrix inequalities (LMIs). Finally, numerical examples are given to illustrate the effectiveness of the proposed method.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
Hongyi Li, Bing Chen, Qi Zhou, Chong Lin,