Fixed-time stabilization of impulsive Cohen-Grossberg BAM neural networks. Academic Article uri icon


  • This article is concerned with the fixed-time stabilization for impulsive Cohen-Grossberg BAM neural networks via two different controllers. By using a novel constructive approach based on some comparison techniques for differential inequalities, an improvement theorem of fixed-time stability for impulsive dynamical systems is established. In addition, based on the fixed-time stability theorem of impulsive dynamical systems, two different control protocols are designed to ensure the fixed-time stabilization of impulsive Cohen-Grossberg BAM neural networks, which include and extend the earlier works. Finally, two simulations examples are provided to illustrate the validity of the proposed theoretical results.

published proceedings

  • Neural Netw

author list (cited authors)

  • Li, H., Li, C., Huang, T., & Zhang, W.

citation count

  • 80

complete list of authors

  • Li, Hongfei||Li, Chuandong||Huang, Tingwen||Zhang, Wanli

publication date

  • February 2018