A new result on global exponential stability of cellular neural networks with variable delay

In this paper, we discuss cellular neural networks (CNNs) with variable delay, investigating their global exponential stability and estimating their the exponential convergence rates. Some sufficient conditions for a class of CNNs with variable delay to be globally exponentially stable independent of the delay are given.