Weighted pseudo-almost periodic delayed cellular neural networks

This paper investigates a class of non-autonomous cellular neural networks with mixed delays. Based on the basic theory of the weighted pseudo-almost periodic functions, several sufficient conditions are established to ensure that every solution of the addressed model exponentially tends to a weighted pseudo-almost periodic solution as t -> +infinity, which generalize some existing ones. In particular, some numerical examples are also given.