Stability Analysis for Generalized Neutral-Type Neural Networks

Guo Quan Liu; Simon X. Yang

doi:10.4028/www.scientific.net/AMM.121-126.1387

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Stability Analysis for Generalized Neutral-Type...

Stability Analysis for Generalized Neutral-Type Neural Networks

Abstract:

The issue of asymptotic stability is discussed for generalized neutral-type neural networks with time-varying delays. A new stability condition is presented based on the Lyapunov-Krasovskii method and the inequality technique, which is dependent on the amount of delay. The proposed result is given in the form of a linear matrix inequality (LMI). Finally, an example is given to illustrate our result. This result is of great significance in designs and applications of globally stable of generalized neutral-type neural networks.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

1387-1391

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.1387

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Online since:

October 2011

Authors:

Guo Quan Liu, Simon X. Yang

Keywords:

Asymptotic Stability, Generalized Neural Networks, Linear Matrix Inequality (LMI), Neutral-Type

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