A New Global Asymptotic Stability of Cellular Neural Network with Time-Varying Discrete and Distributed Delays

This paper is concerned with the global asymptotic stability of cellular neural network with time-varying discrete and distributed delays. A novel criterion for the stability using the Lyapunov stability theory and linear matrix inequality(LMI) framework is presented. The result is less conservative than those established in the earlier references.