Global Exponential Stability and Periodic Solutions of Delayed Cellular Neural Networks

摘要

In this paper, the problems of global exponential stability and periodic solutions for a class of delayed cellular neural networks are analyzed via the method of constructing suitable Lyapunov functionals. Some simple sufficient conditions are given for global exponential stability and the existence of periodic solutions. These conditions can be used to design globally stable networks, and they are easy to check and apply in practice.