Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1864707 | Physics Letters A | 2008 | 10 Pages |
Abstract
This Letter deals with the problem of delay-dependent robust exponential stability in mean square for a class of uncertain stochastic Hopfield neural networks with discrete and distributed time-varying delays. Based on Lyapunov–Krasovskii functional and the stochastic stability theory, delay-dependent stability criteria are obtained in terms of linear matrix inequalities (LMIs). Because of introducing some free-weighting matrices to develop the stability criteria, the proposed stability conditions have less conservatism. Numerical examples are given to illustrate the effectiveness of our results.
Related Topics
Physical Sciences and Engineering
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Authors
Hongyi Li, Bing Chen, Qi Zhou, Shengle Fang,