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Global Stability Properties for Neutral-Type Hopfield Neural Networks

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Abstract:

The global stability properties was discussed for the neutral-type Hopfield neural networks with discrete and distributed time-varying delays .Based on the Lyapunov functional stability analysis and the linear matrix inequality approach, a new sufficient condition was derived to assure the global stability properties of the equilibrium. The criterion improved and extended the results of literature, and has less conservative.

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Periodical:

Applied Mechanics and Materials (Volume 232)

Pages:

682-685

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.232.682

Citation:

Cite this paper

Online since:

November 2012

Authors:

Dao He Hao, Liang Wu

Keywords:

Asymptotic Stability, Exponential Stability, LMI, Neutral-Type

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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References

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