• DocumentCode
    1053455
  • Title

    Validation of linear fractional uncertain models: solutions via matrix inequalities

  • Author

    Chen, Jie ; Wang, Shuning

  • Author_Institution
    Coll. of Eng., California Univ., Riverside, CA, USA
  • Volume
    41
  • Issue
    6
  • fYear
    1996
  • fDate
    6/1/1996 12:00:00 AM
  • Firstpage
    844
  • Lastpage
    849
  • Abstract
    A time domain approach is provided in this paper to tackle the problem of model validation pertaining to uncertain models described by linear fractional transforms. Both unstructured and structured dynamic uncertainties are considered. It is shown that in the first case the problem can be solved by finding a feasible solution to a convex optimization problem, while in the second case it amounts to solving a biaffine matrix inequality problem to which only a convex optimization-based necessary condition is given
  • Keywords
    discrete time systems; linear systems; matrix algebra; modelling; optimisation; uncertain systems; biaffine matrix inequality problem; convex optimization; convex optimization-based necessary condition; linear fractional transforms; linear fractional uncertain models; matrix inequalities; model validation; structured dynamic uncertainties; time domain approach; unstructured dynamic uncertainties; Additive noise; Control design; Design methodology; Linear matrix inequalities; Mathematical model; Modeling; Noise measurement; Robust control; Space technology; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.506236
  • Filename
    506236