New Robust Stability of Uncertain Neutral-Type Neural Networks with Discrete Interval and Distributed Time-Varying Delays

نویسندگان

  • Guoquan Liu
  • Simon X. Yang
  • Wei Fu
چکیده

This paper develops a novel robust stability criterion for a class of uncertain neutral-type neural networks with discrete interval and distributed time-varying delays. By constructing a general form of LyapunovKrasovskii functional, using the linear matrix inequality (LMI) approach and introducing some free-weight matrices, the delay-dependent robust stability criteria are derived in terms of LMI. Number examples are given to illustrate the effectiveness of the proposed method.

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عنوان ژورنال:
  • JCP

دوره 7  شماره 

صفحات  -

تاریخ انتشار 2012