Exponential input-to-state stability of recurrent neural networks with multiple time-varying delays. Academic Article uri icon


  • In this paper, input-to-state stability problems for a class of recurrent neural networks model with multiple time-varying delays are concerned with. By utilizing the Lyapunov-Krasovskii functional method and linear matrix inequalities techniques, some sufficient conditions ensuring the exponential input-to-state stability of delayed network systems are firstly obtained. Two numerical examples and its simulations are given to illustrate the efficiency of the derived results.

published proceedings

  • Cogn Neurodyn

author list (cited authors)

  • Yang, Z., Zhou, W., & Huang, T.

citation count

  • 34

complete list of authors

  • Yang, Zhichun||Zhou, Weisong||Huang, Tingwen

publication date

  • February 2014