New method on the complete stability of delayed cellular neural networks

In this paper, a class of delayed cellular neural networks are investigated. Besides the coexistence of multiple equilibrium points and their multistability, we are concerned with the complete stability of these dynamical systems. And by rigorous analysis, it concludes that every solution trajectory would converge to one of the equilibrium points despite of the time-varying delays, that is, the delayed cellular neural networks are completely stable.