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We consider a class of stochastic delay recurrent neural networks withdistributed parameters and Markovian jumping. It is assumed that the coefficients inthese neural networks belong to the interval matrices. Several sufficient conditionsensuring robust exponential stabilization are derived by using periodically intermittent control and Lyapunov functional. The obtained results are very easy to verifyand implement, and improve the existing results. Finally, an example with numericalsimulations is given to illustrate the presented criteria.

abstract and applied analysis

Robust Exponential Stabilization of Stochastic Delay Interval Recurrent Neural Networks with Distributed Parameters and Markovian Jumping by Using Periodically Intermittent Control