Exponential Stability of Positive Shunting Inhibitory Cellular Neural Networks with Multi-proportional Delays

This article is concerned with the global exponential stability of a class of positive shunting inhibitory cellular neural networks with multi-proportional delays. Based on the differential inequality techniques, a testable condition is established to guarantee that all solutions of the considered system converge exponentially to a unique positive equilibrium. In the last part of the paper, some numerical simulations are given to illustrate our theoretical analysis.