A new criterion for global robust stability of interval neural networks with discrete time delays Academic Article uri icon


  • This paper further studies global robust stability of a class of interval neural networks with discrete time delays. By introducing an equivalent transformation of interval matrices, a new criterion on global robust stability is established. In comparison with the results reported in the literature, the proposed approach leads to results with less restrictive conditions. Numerical examples are also worked through to illustrate our results. 2005 Elsevier Ltd. All rights reserved.

published proceedings


author list (cited authors)

  • Li, C., Chen, J., & Huang, T.

citation count

  • 38

complete list of authors

  • Li, Chuandong||Chen, Jinyu||Huang, Tingwen

publication date

  • February 2007