Master-Slave Synchronization of Stochastic Neural Networks with Mixed Time-Varying Delays

Abstract EN

This paper investigates the problem on master-salve synchronization for stochastic neural networks with both time-varying and distributed time-varying delays.

Together with the drive-response concept, LMI approach, and generalized convex combination, one novel synchronization criterion is obtained in terms of LMIs and the condition heavily depends on the upper and lower bounds of state delay and distributed one.

Moreover, the addressed systems can include some famous network models as its special cases, which means that our methods extend those present ones.

Finally, two numerical examples are given to demonstrate the effectiveness of the presented scheme.