On Equilibrium and Stability of a Class of Neural Networks with Mixed Delays
In this paper the authors analyze problems of existence and global asymptotic stability of the equilibrium for the neural networks with mixed delays. Some new sufficient conditions ensuring the existence, uniqueness, and global asymptotic stability of the equilibrium are established by means of Leray-Schauder principle, arithmetic-mean-geometric-mean inequality and vector delay differential inequality technique. These conditions are less restrictive than previously known criteria.
KeywordsNeural Network Unique Equilibrium Cellular Neural Network Global Asymptotic Stability Discrete Delay
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