Stability of a Continuous Type of Neural Networks with Recent-History Distributed Delays
In this paper a class of neural networks with recent-history distributed delays and impulses are studied. Sufficient conditions are obtained for the existence and globally exponential stability of a unique equilibrium of the impulsive system by using Banach’s fixed point theorem, matrix and associated theory. The results of this paper generalize and improve the previous known results of non-impulsive systems.
Keywordsa class neural networks distributed delays and impulses Banach’s fixed point theorem global exponential stability unique equilibrium
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