Adaptive synchronization for stochastic neural networks of neutral-type with mixed time-delays

In this paper, an adaptive feedback controller is proposed to achieve the synchronization of neutral-type neural networks with stochastic perturbation and parameter uncertainties. Based on LaShall-type invariance principle for stochastic differential delay equations, the stochastic analysis theory and the adaptive feedback control technique, we develop a linear matrix inequality approach to derive some new adaptive synchronization criteria. A numerical example and its simulation is given to demonstrate the effectiveness of the results.