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Stability analysis of stochastic delayed cellular neural networks by LMI approach. (English) Zbl 1095.92003
Summary: Some sufficient mean square exponential stability conditions for a class of stochastic delayed cellular neural network (DCNN) models are obtained via the linear matrix inequality (LMI) approach. These conditions improve and generalize some existing global asymptotic stability conditions for DCNN models.

MSC:
92B20 Neural networks for/in biological studies, artificial life and related topics
34K20 Stability theory of functional-differential equations
15A99 Basic linear algebra
34K60 Qualitative investigation and simulation of models involving functional-differential equations
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