Existence and Exponential Stability of Periodic Solution of Discrete-Time Cohen-Grossberg Neural Network with Varying Delays and Impulses

A class of the discrete-time Cohen-Grossberg neural network model is studied in this paper. By using the properties of ρ -cone and fixed point theorem, Some sufficient conditions to guarantee the uniqueness and global exponential stability of the periodic solution of such networks are established, and the estimated exponential convergence rate is also obtained. The results of this paper are new and they extend and improve previously known results.