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Complete synchronization for impulsive Cohen-grossberg neural networks with delay under noise perturbation. (English) Zbl 1198.34088

Summary: Impulsive Cohen-Grossberg neural networks with delay is studied. Sufficient conditions are given to guarantee the realization of complete synchronization for Cohen-Grossberg neural networks with delay and large impulse under noise perturbation by stochastic Halanay inequality. Moreover, an example is given to show the effectiveness of synchronization design in this paper.

Editorial remark: There are doubts about a proper peer-reviewing procedure of this journal. The editor-in-chief has retired, but, according to a statement of the publisher, articles accepted under his guidance are published without additional control.

MSC:
34D06Synchronization
34K20Stability theory of functional-differential equations
37D45Strange attractors, chaotic dynamics
37N35Dynamical systems in control
92B20General theory of neural networks (mathematical biology)
93D21Adaptive or robust stabilization