Name
Title | ||
|---|---|---|
New robust exponential stability analysis for uncertain neural networks with time-varying delay |
Abstract | ||
|---|---|---|
In this paper, the global robust exponential stability is considered for a class of neural networks with parametric uncertainties
and time-varying delay. By using Lyapunov functional method, and by resorting to the new technique for estimating the upper
bound of the derivative of the Lyapunov functional, some less conservative exponential stability criteria are derived in terms
of linear matrix inequalities (LMIs). Numerical examples are presented to show the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s11633-008-0395-2 | International Journal of Automation and Computing |
Keywords | DocType | Volume |
linear matrix inequalities (lmis).,lyapunov functional method,uncertain neural networks,robust exponential stability,linear matrix inequalities lmis.,time-varying delay,upper bound,neural network,lyapunov function,linear matrix inequality,exponential stability | Journal | 5 |
Issue | ISSN | Citations |
4 | 17518520 | 6 |
PageRank | References | Authors |
0.54 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yonggang Chen | 1 | 267 | 20.44 |
| Weiping Bi | 2 | 57 | 3.56 |
| weiping | 3 | 6 | 0.54 |
| bi | 4 | 6 | 0.54 |