JournalszaaVol. 24, No. 2pp. 419–429

Global Asymptotic Stability of High-Order Delay Hopfield Neural Networks with Time-Varying Coefficients

  • PEIGUANG WANG

    Hebei University, Baoding, China
  • HAIRONG LIAN

    Beijing Institute of Technology, China
  • Yonghong Wu

    Curtin University of Technology, Perth, Australia
Global Asymptotic Stability of High-Order Delay Hopfield Neural Networks with Time-Varying Coefficients cover
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Abstract

The problem of global asymptotic stability of the high-order delay neural networks with time-varying coefficients is investigated. Sufficient conditions are obtained for the existence and global asymptotic stability of the equilibrium of such neural networks by using Brouwer's fixed point theorem and Liapunov method.

Cite this article

PEIGUANG WANG, HAIRONG LIAN, Yonghong Wu, Global Asymptotic Stability of High-Order Delay Hopfield Neural Networks with Time-Varying Coefficients. Z. Anal. Anwend. 24 (2005), no. 2, pp. 419–429

DOI 10.4171/ZAA/1249