STABILITY ANALYSIS ON DELAYED CELLULAR NEURAL NETWORKS
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Abstract
In this paper, we study the problem of stability for the delayed cellular neural networks (DCNN). By making use of the Lyapunov functional method, the method of variation of constants and combining with the method of inequality analysis, some criterions of global exponential stability and global asympototic stability for delayed cellular neural networks are established. These criterions can be used to design globally stable networks and thus have important significance in both theory and applications.
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