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 f"i"j"l(@?) are bounded, the results extend and improve the earlier publications.

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