Stability analysis of the class of delayed neural networks


Arik S., Tavsanoglu V.

1999 IEEE International Symposium on Circuits and Systems (ISCAS 99), Florida, United States Of America, 30 May - 02 June 1999, pp.575-578 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.575-578

Abstract

In this paper, we derive several sufficient conditions for the asymptotic stability of delayed neural networks. These conditions ensure the asymptotic stability of the equilibrium point of rr delayed neural network independently of the delay parameter The results obtained impose constraint conditions on the interconnection matrix of the neural system.