A new sufficient condition for complete stability of cellular neural networks with delay

This paper gives a new sufficient condition for cellular neural networks with delay (DCNNs) to be completely stable. A fixed-point theorem and a convergence theorem of the Gauss-Seidel method play important roles in the proof, while most conventional stability criteria were obtained by constructing Lyapunov functionals.