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Section A

Stability results for stochastic bidirectional associative memory neural networks with multiple discrete and distributed time-varying delays

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Pages 1358-1372 | Received 28 Apr 2010, Accepted 07 Jun 2010, Published online: 06 Feb 2011
 

Abstract

This paper is concerned with the global asymptotic stability of a class of stochastic bidirectional associative memory neural networks with both multiple discrete and distributed time-varying delays. A new criterion of asymptotic stability is derived in terms of linear matrix inequality, which can be efficiently solved by a standard numerical software. An illustrative numerical example is also given to show the applicability and effectiveness of the proposed results.

2000 AMS Subject Classifications :

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