Stabilization of Stochastic Perturbed Chaotic Delayed Neural Networks under Delayed Feedback Control

This paper deals with the problem of stabilization of stochastic perturbed chaotic delayed neural networks under delayed feedback control. A delay-dependent sufficient condition for the mean-square asymptotic stability of the controlled neural network is derived via a discretized Lyapunov-Krasovskii function method. The desired feedback controller is designed in terms of linear matrix inequalities, which can be efficiently solved via standard numerical software. A numerical example illustrates the efficiency of the proposed method.