Global robust stability of complex-valued recurrent neural networks with time-delays and uncertainties Academic Article uri icon


  • This paper focuses on the existence, uniqueness and global robust stability of equilibrium point for complex-valued recurrent neural networks with multiple time-delays and under parameter uncertainties with respect to two activation functions. Two sufficient conditions for robust stability of the considered neural networks are presented and established in two new time-independent relationships between the network parameters of the neural system. Finally, three illustrative examples are given to demonstrate the theoretical results.

published proceedings


author list (cited authors)

  • Zhang, W., Li, C., & Huang, T.

citation count

  • 25

complete list of authors

  • Zhang, Wei||Li, Chuandong||Huang, Tingwen

publication date

  • March 2014