Global Asymptotic Stability Analysis for Neural Networks with Time-Varying Delays

The problem of global asymptotic stability for a class of neural networks with variable delays is considered in this paper. Based on a more general Lyapunov-Krasovskii functional, a less conservative condition for global asymptotic stability is derived by using some slack matrix variables to express the relationship between the system matrices. The restriction on the derivative of the delay function to be less than unit is removed. A numerical example is given to illustrate the effectiveness of the proposed method