• DocumentCode
    2259443
  • Title

    Computational experiments in robust stability analysis

  • Author

    Yoon, Albert ; Khargonekar, Pramod

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    4
  • fYear
    1997
  • fDate
    10-12 Dec 1997
  • Firstpage
    3260
  • Abstract
    We take a “computational experiments” approach to robust stability analysis problems. Many robust control problems have been shown to be NP hard but in spite of this, it is important to develop effective techniques for solving them. A typical robust stability analysis problem is taken and formulated as an optimization problem to which several optimization algorithms are applied
  • Keywords
    computational complexity; control system analysis computing; feedback; optimisation; randomised algorithms; robust control; search problems; uncertain systems; NP hard problems; computational experiments; optimization problem; robust stability analysis; Algorithm design and analysis; Computational complexity; Computer science; Control systems; Optimization methods; Performance analysis; Robust control; Robust stability; Stability analysis; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4187-2
  • Type

    conf

  • DOI
    10.1109/CDC.1997.652347
  • Filename
    652347