Title | ||
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Delay-dependent criteria for robust stability of uncertain switched Hopfield neural networks |
Abstract | ||
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This paper deals with the problem of delay-dependent robust stability for a class of switched Hopfield neural networks with
time-varying structured uncertainties and time-varying delay. Some Lyapunov-Krasovskii functionals are constructed and the
linear matrix inequality (LMI) approach and free weighting matrix method are employed to devise some delay-dependent stability
criteria which guarantee the existence, uniqueness and global exponential stability of the equilibrium point for all admissible
parametric uncertainties. By using Leibniz-Newton formula, free weighting matrices are employed to express this relationship,
which implies that the new criteria are less conservative than existing ones. Some examples suggest that the proposed criteria
are effective and are an improvement over previous ones. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/s11633-007-0304-0 | International Journal of Automation and Computing |
Keywords | DocType | Volume |
switched systems,hopfleld neural networks,robust stability,linear matrix inequality,hopfield neural networks,delay-dependent criteria,linear matrix inequality.,time-varying delay,equilibrium point | Journal | 4 |
Issue | ISSN | Citations |
3 | 17518520 | 14 |
PageRank | References | Authors |
1.09 | 20 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xuyang Lou | 1 | 328 | 35.35 |
lou | 2 | 24 | 2.09 |
baotong | 3 | 48 | 3.85 |
baotong | 4 | 48 | 3.85 |