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Adaptive synchronization for delayed neural networks with stochastic perturbation. (English) Zbl 1169.93350

Summary: In this paper, an adaptive feedback controller is designed to achieve complete synchronization of unidirectionally coupled delayed neural networks with stochastic perturbation. LaSalle-type invariance principle for stochastic differential delay equations is employed to investigate the globally almost surely asymptotical stability of the error dynamical system. An example and numerical simulation are given to demonstrate the effectiveness of the theory results.

MSC:

93C40 Adaptive control/observation systems
93B52 Feedback control
93C73 Perturbations in control/observation systems
93E03 Stochastic systems in control theory (general)
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