Global Attracting Set for a Class of Impulsive Delayed Hopfield Neural Networks
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DOI: 10.25236/icbdai.2018.003
Corresponding Author
Qinghua Zhou
Abstract
The asymptotic behaviors of a class of impulsive delayed Hopfield neural networks are investigated. By applying the property of nonnegative matrix and an integral inequality, some novel sufficient conditions are derived to ensure the existence of the global attracting set and the stability in a Lagrange sense for the considered networks.
Keywords
Hopfield neural networks, Impulsive, Global attracting set, Integral inequality