Stability analysis of stochastic memristor-based recurrent neural networks with mixed time-varying delays

Abstract

In this paper, the stability problem of stochastic memristor-based recurrent neural networks with mixed time-varying delays is investigated. Sufficient conditions are established in terms of linear matrix inequalities which can guarantee that the stochastic memristor-based recurrent neural networks are asymptotically stable and exponentially stable in the… (More)
DOI: 10.1007/s00521-015-2146-y

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