Global robust stability of neural networks with time varying delays

Authors:
Wenwu Yu;Lingling Yao
Affiliations:
Department of Mathematics, Southeast University, Nanjing 210096, China;Department of Mathematics, Southeast University, Nanjing 210096, China
Venue:
Journal of Computational and Applied Mathematics
Year:
2007

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Abstract

In this paper, we study the global robust stability of neural networks with time varying delays using the Lyapunov functional method and matrix inequality technique. Several sufficient conditions are presented to show the existence of equilibrium and global robust stability of neural networks, which is easy to apply. Then we give a simulation to justify the obtained results.