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A novel and effective approach to synchronization analysis of neural networks isinvestigated by using the nonlinear operator named the generalized Dahlquist constant and the generalintermittent control. The proposed approach offers a design procedure for synchronization of a largeclass of neural networks. The numerical simulations whose theoretical results are applied to typical neuralnetworks with and without delayed item demonstrate the effectiveness and feasibility of the proposedtechnique

The Generalized Dahlquist Constant with Applications in Synchronization Analysis of Typical Neural Networks via General Intermittent Control