The building global exponential stability criteria for the equilibrium point of impulsive cellular neural networks with time – varying delays

Abstract

   In this paper, the global exponential stability criteria for the equilibrium point of impulsive  cellular neural networks with time - varying delays is studied. Based on the construction of the Lyapunov function, using Young inequality and some analytical techniques such as the properties of continuous functions on a segment, the properties of inf, sup, we will build new global exponential stability criteria for the equilibrium point of the networks mentioned above. In addition, we take some examples that illustrate our results.