Stabilization of Stochastic Interval Hopfield Neural Networks with Time-Varying Delays

Abstract

In this paper, the stochastic stabilization problem for stochastic interval Hop field neural networks with time-varying delays is investigated. Our attention is focused on the design of a robust state feedback controller such that the closed-loop system is robustly exponentially stable in the mean square. The sufficient conditions are proposed to ensure the existence of desired robust controller, which can be obtained by solving a linear matrix inequality (LMI). Finally, an example is given to illustrate the effectiveness of our theory results.