On global exponential stability of delayed cellular neural networks with time-varying delays

A new sufficient condition has been presented ensuring the global exponential stability of cellular neural networks with time-varying delays by using an approach based on delay differential inequality combining with Young inequality. The results established here extend those earlier given in the literature. Compared with the method of Lyapunov functionals as in most previous studies, our method is simpler and more effective for stability analysis.

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