On the stability of sets for reaction–diffusion Cohen–Grossberg delayed neural networks

In this paper, we introduce the notion of stability sets for reaction-diffusion Cohen–Grossberg neural networks with time-varying delays. The Lyapunov–Razumikhin technique and a comparison principle are adapted to prove new criteria. addition, obtained results extended uncertain case, robust is also investigated. Examples considered demonstrate effectiveness our results.