• DocumentCode
    1081950
  • Title

    Computational complexity of μ calculation

  • Author

    Braatz, Richard P. ; Young, Peter M. ; Doyle, John C. ; Morari, Manfred

  • Author_Institution
    Dept. of Chem. Eng., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    39
  • Issue
    5
  • fYear
    1994
  • fDate
    5/1/1994 12:00:00 AM
  • Firstpage
    1000
  • Lastpage
    1002
  • Abstract
    The structured singular value μ measures the robustness of uncertain systems. Numerous researchers over the last decade have worked on developing efficient methods for computing μ. This paper considers the complexity of calculating μ with general mixed real/complex uncertainty in the framework of combinatorial complexity theory. In particular, it is proved that the μ recognition problem with either pure real or mixed real/complex uncertainty is NP-hard. This strongly suggests that it is futile to pursue exact methods for calculating μ of general systems with pure real or mixed uncertainty for other than small problems
  • Keywords
    computational complexity; stability; μ calculation; NP-hard; combinatorial complexity theory; general mixed real/complex uncertainty; general systems; robustness; structured singular value; uncertain systems; Argon; Artificial intelligence; Computational complexity; Constraint theory; Gold; Linear programming; Polynomials; Quadratic programming; Robustness; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.284879
  • Filename
    284879