• DocumentCode
    294963
  • Title

    On duality in robustness analysis

  • Author

    Jönsson, Ulf ; Rantzer, Anders

  • Author_Institution
    Dept. of Autom. Control, Lund Inst. of Technol., Sweden
  • Volume
    2
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    1443
  • Abstract
    Frequency domain conditions involving multipliers is a powerful tool for robustness analysis. The resulting analysis problem is generally infinite dimensional and numerical solutions restricted to finite dimensional subspaces need to be considered. The finite dimensional problem can be transformed to a linear matrix inequality, which can be solved with efficient algorithms. This paper presents a format for the dual of the infinite dimensional problem. The dual can be used to investigate if the primal robustness problem is feasible. It can also be used to estimate the conservatism of a particular finite dimensional subspace of the primal
  • Keywords
    control system analysis; duality (mathematics); frequency-domain analysis; matrix algebra; multidimensional systems; robust control; conservatism; duality; finite dimensional subspaces; frequency domain conditions; infinite dimensional problem; linear matrix inequality; primal robustness problem; robustness analysis; Feedback; Frequency domain analysis; Linear matrix inequalities; MIMO; Robust control; Robustness; Stability; System testing; Time varying systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.480305
  • Filename
    480305