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Synchronization of stochastic perturbed chaotic neural networks with mixed delays. (English) Zbl 1202.93057
Summary: We study the synchronization problem of a class of chaotic neural networks with time-varying delays and unbounded distributed delays under stochastic perturbations. By using Lyapunov-Krasovskii functional, drive-response concept, output coupling with delay feedback and Linear Matrix Inequality (LMI) approach, we obtain some sufficient conditions in terms of LMIs ensuring the exponential synchronization of the addressed neural networks. The feedback controllers can be easily obtained by solving the derived LMIs. Moreover, the main results are generalizations of some recent results reported in the literature. A numerical example is also provided to demonstrate the effectiveness and applicability of the obtained results.
MSC:
93C15Control systems governed by ODE
93B52Feedback control
93D30Scalar and vector Lyapunov functions
92B20General theory of neural networks (mathematical biology)
93E03General theory of stochastic systems
93C73Perturbations in control systems
34H10Chaos control (ODE)
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