Existence and stability of almost periodic solutions in impulsive neural network models
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2010-12-15Metadata
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Pinto Jiménez, Manuel
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Existence and stability of almost periodic solutions in impulsive neural network models
Abstract
The existence and global exponential stability of an almost periodic solution of an impulsive
neural network model with distributed delays is considered in a matrix setting. The
approach transforms the original network into a matrix analysis problem, where a set of
sufficient conditions based on spectral radius is presented. A concrete Hopfield model
shows the advantages in comparison with a classical norm approach.
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This research has been supported by: FONDECYT 1080034 and DGI MAT. UNAP 2009.
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APPLIED MATHEMATICS AND COMPUTATION, Volume: 217, Issue: 8, Pages: 4167-4177, 2010
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