Global and Robust Stability of Interval Hopfield Neural Networks with Time-Varying Delays

نویسندگان

  • Xiaofeng Liao
  • Jun Wang
  • Jinde Cao
چکیده

In this paper, we investigate the problem of global and robust stability of a class of interval Hopfield neural networks that have time-varying delays. Some criteria for the global and robust stability of such networks are derived, by means of constructing suitable Lyapunov functionals for the networks. As a by-product, for the conventional Hopfield neural networks with time-varying delays, we also obtain some new criteria for their global and asymptotic stability.

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عنوان ژورنال:
  • International journal of neural systems

دوره 13 3  شماره 

صفحات  -

تاریخ انتشار 2003