Boundedness and exponential stability for nonautonomous RCNNs with distributed delays

Some sufficient conditions for the ultimate boundedness and global exponential stability of a class of nonautonomous reaction–diffusion cellular neural networks (RCNNs) with distributed delays are obtained by means of the Lyapunov functional method. Without assuming that the activation functions fijl(⋅)fijl(⋅) are bounded, the results extend and improve the earlier publications.