Attracting and invariant sets of impulsive delay Cohen–Grossberg neural networks

In this paper, a class of impulsive delay Cohen–Grossberg neural networks (IDCGNNs) is investigated. By applying a nonlinear delay differential inequality with removing some restrictions on the amplification functions, some new and useful sufficient conditions ensuring the existence of global attracting and invariant sets for IDCGNNs are obtained. An example is given to illustrate the effectiveness of our results.