Stability of Non-autonomous Delayed Cellular Neural Networks

The stability of non-autonomous delayed cellular neural networks is studied in this paper. By applying a delay differential inequality, a new sufficient condition which guarantees the global asymptotic stability is established. Since the condition does not impose differentiability on delay, it is less conservative than some established in the earlier references.