Stabilization of oscillating neural networks with time-delay by intermittent control

In this paper, we study the exponential stabilization of oscillating neural networks with time-delay through the process called intermittent control. Some exponential stability criteria for the controlled neural networks are established by Lyapunov function and matrix inequality analysis technique. The present results allow us to estimate legitimately the feasible control region of control parameters. Numerical example is also given to show the effectiveness of our proposed results.