Analysis of adaptive synchronization for stochastic neutral-type memristive neural networks with mixed time-varying delays. (English) Zbl 1417.93168
Summary: Linear feedback control and adaptive feedback control are proposed to achieve the synchronization of stochastic neutral-type memristive neural networks with mixed time-varying delays. By applying the stochastic differential inclusions theory, Lyapunov functional, and linear matrix inequalities method, we obtain some new adaptive synchronization criteria. A numerical example is given to illustrate the effectiveness of our results.
MSC:
| 93C40 | Adaptive control/observation systems |
| 92B20 | Neural networks for/in biological studies, artificial life and related topics |
| 93E03 | Stochastic systems in control theory (general) |
| 34K20 | Stability theory of functional-differential equations |
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