• DocumentCode
    701066
  • Title

    A global BMI algorithm based on the generalized benders decomposition

  • Author

    Beran, Eric ; Vandenberghe, Lieven ; Boyd, Stephen

  • Author_Institution
    Dept. of Autom., Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    1997
  • fDate
    1-7 July 1997
  • Firstpage
    3741
  • Lastpage
    3746
  • Abstract
    We present a new algorithm for the global solution of optimization problems involving bilinear matrix inequalities (BMIs). The method is based on a technique known in large-scale and global optimization as the generalized Benders decomposition. It extends the GOP algorithm of Visweswaran and Floudas for bilinear and biconvex programming to problems with BMI constraints.
  • Keywords
    convex programming; linear matrix inequalities; BMI constraints; GOP algorithm; biconvex programming; bilinear matrix inequalities; bilinear programming; generalized Benders decomposition; global BMI algorithm; global solution; large-scale global optimization; optimization problems; Approximation algorithms; Electronic mail; Linear matrix inequalities; Matrix decomposition; Optimization; Piecewise linear approximation; Upper bound; Linear matrix inequalities; Numerical Methods; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1997 European
  • Conference_Location
    Brussels
  • Print_ISBN
    978-3-9524269-0-6
  • Type

    conf

  • Filename
    7082698