• Title of article

    LMI-based criteria for global robust stability of bidirectional associative memory networks with time delay Original Research Article

  • Author/Authors

    Jinde Cao، نويسنده , , Daniel W.C. Ho، نويسنده , , Xia Huang، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2007
  • Pages
    15
  • From page
    1558
  • To page
    1572
  • Abstract
    In this paper, several new sufficient conditions are given to ensure existence, uniqueness and globally exponential robust stability of the equilibrium point for bidirectional associative memory (BAM) networks with delays. This novel approach, based on the Linear Matrix Inequality (LMI) technique, removes some existing restrictions on the system’s parameters, and the derived conditions are easy to verify via the LMI toolbox. In addition, two examples are given to show the effectiveness and the advantage of the proposed results.
  • Keywords
    Linear matrix inequality (LMI) , Lyapunov function , Global robust stability , BAM neural networks
  • Journal title
    Nonlinear Analysis Theory, Methods & Applications
  • Serial Year
    2007
  • Journal title
    Nonlinear Analysis Theory, Methods & Applications
  • Record number

    859608