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<item>
  <id>02159777</id>
  <dt>j</dt>
  <an>02159777</an>
  <augroup>
    <au>Xu, Daoyi</au>
    <au>Yang, Zhichun</au>
  </augroup>
  <ti>Impulsive delay differential inequality and stability of neural networks.</ti>
  <so>J. Math. Anal. Appl. 305, No. 1, 107-120 (2005).</so>
  <py>2005</py>
  <pu>Elsevier, San Diego, CA</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>delay differential equations</ut>
    <ut>impulse</ut>
    <ut>impulsive differential inequality</ut>
    <ut>neural networks</ut>
    <ut>stability</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.jmaa.2004.10.040</li>
  </ligroup>
  <abgroup>
    <ab>The authors consider a general Hopfield neural network with delays and fixed times of impulse effect and prove the global exponential stability of the trivial solution. The authors use the properties of $M$-cone and eigenspace of spectral radius of nonnegative matrices to prove a delay differential inequality of Halanay type with impulsive initial condition. Then, they apply such result to obtain an estimate for the exponential stability of the model. An example is given.</ab>
    <rv>Marcia Federson (S\~ao Paulo)</rv>
  </abgroup>
</item>