Boundedness and stability of nonautonomous cellular neural networks with reaction-diffusion terms

In this paper, we study a class of nonautonomous cellular neural networks with reaction‐diffusion terms. By employing the method of variation parameter, applying inequality technique and introducing a lot of real parameters, we present some sufficient conditions ensuring the boundedness and globally exponential stability of the solutions for nonautonomous cellular neural networks with reaction‐diffusion terms. The results obtained extend and improve the earlier publications. Finally, three examples with their numerical simulations are provided to show the correctness of our analysis.