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R. M. Lewis and B. O. Anderson, “Intensitivity of a class of nonlinear comparetmental systems to the introduction of arbitrary time delays,” IEEE Transactions on Circuits and Systems Part I, Vol. CAS-27, pp. 604–612, 1980.

has been cited by the following article:

• TITLE: A New Global Asymptotic Stability Result of Delayed Neural Networks via Nonsmooth Analysis

  AUTHORS: Yaning Gu, Deyou Liu, Wenjuan Wu, Jingwen Zhang

  KEYWORDS: Delayed Neural Networks, Global Asymptotic Stability, Nonsmooth Analysis

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.3 No.3, March 31, 2010

  ABSTRACT: In the paper, we obtain new sufficient conditions ensuring existence, uniqueness, and asymptotic stability of the equilibrium point for delayed neural network via nonsmooth analysis, which makes use of the Lipschitz property of the functions. Based on this tool of nonsmooth analysis, we first obtain a couple of general results concerning the existence and uniqueness of the equilibrium point. Then we drive some new sufficient conditions ensuring global asymptotic stability of the equilibrium point. Finally, there are the illustrative examples feasibility and effectiveness of our results. Throughout our paper, the activation function is a more general function which has a wide application.