Abstract The dynamics of discrete time delayed Hopfield neural networks is investigated. By using a difference inequality combining with the linear matrix inequality, a sufficient condition ensuring global exponential stability of the unique equilibrium point of the networks is found. The result obtained holds not only for constant delay but also for time-varying delays.
Fund: Project supported by the Program
for New Century Excellent Talents in University (Grant No
NCET-06-0298), the Program for Liaoning Excellent Talents in
University (Grant No RC-05-07), the Program for Study of Science of
the Educational Department of Liaon
Cite this article:
Zhang Qiang(张强) More relaxed condition for dynamics of discrete time delayed Hopfield neural networks 2008 Chin. Phys. B 17 125
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