Delay-Dependent Asymptotical Stabilization Criterion of Recurrent Neural Networks

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This paper deals with the problem of delay-dependent stability criterion of discrete-time recurrent neural networks with time-varying delays. Based on quadratic Lyapunov functional approach and free-weighting matrix approach, some linear matrix inequality criteria are found to guarantee delay-dependent asymptotical stability of these systems. And one example illustrates the exactness of the proposed criteria.

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1045-1048

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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