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Complete Delay-Decomposing Approach to Asymptotic Stability for Neural Networks With Time-Varying Delays | IEEE Journals & Magazine | IEEE Xplore

Complete Delay-Decomposing Approach to Asymptotic Stability for Neural Networks With Time-Varying Delays


Abstract:

This paper is concerned with the problem of stability of neural networks with time-varying delays. A novel Lyapunov-Krasovskii functional decomposing the delays in all in...Show More

Abstract:

This paper is concerned with the problem of stability of neural networks with time-varying delays. A novel Lyapunov-Krasovskii functional decomposing the delays in all integral terms is proposed. By exploiting all possible information and considering independent upper bounds of the delay derivative in various delay intervals, some new generalized delay-dependent stability criteria are established, which are different from the existing ones and improve upon previous results. Numerical examples are finally given to demonstrate the effectiveness and the merits of the proposed method.
Published in: IEEE Transactions on Neural Networks ( Volume: 22, Issue: 5, May 2011)
Page(s): 806 - 812
Date of Publication: 17 March 2011

ISSN Information:

PubMed ID: 21421436

References

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