• DocumentCode
    1743612
  • Title

    Hierarchical optimization in the presence of an intelligent adversary-an H∞ approach

  • Author

    Ravuri, Muralidhar ; Kao, Chung-Yao ; Megretski, Alexandre

  • Author_Institution
    Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3212
  • Abstract
    We consider the H∞ optimization problem for systems with a hierarchical structure. We propose an iterative algorithm to treat the problem. In each iteration of our algorithm, we need to solve a problem of H∞ optimization feature, but with a much smaller dimension. We also show that the solution of the optimization problem in each iteration can be obtained by solving a set of linear matrix inequalities
  • Keywords
    H∞ control; H∞ optimisation; command and control systems; decision theory; hierarchical systems; iterative methods; matrix algebra; H∞ optimization; H∞ optimization problem; hierarchical optimization; hierarchical structure; intelligent adversary; iterative algorithm; linear matrix inequalities; Airborne radar; Constraint optimization; Iterative algorithms; Laboratories; Large-scale systems; Linear matrix inequalities; Mathematical model; Military aircraft; Optimization methods; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2000.912193
  • Filename
    912193
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1743612