• DocumentCode
    2562801
  • Title

    Quantified set inversion with applications to control

  • Author

    Herrero, Pau ; Sainz, Miguel A. ; Vehí, Josep ; Jaulin, Luc

  • Author_Institution
    Inst. d´´Inf. i Aplicacions, Girona Univ.
  • fYear
    2004
  • fDate
    4-4 Sept. 2004
  • Firstpage
    179
  • Lastpage
    183
  • Abstract
    This paper describes a new reliable method, based on modal interval analysis (MIA) and set inversion (SI) techniques, for the characterization of solution sets defined by quantified constraints satisfaction problems (QCSP) over continuous domains. The presented methodology, called quantified set inversion (QSI), can be used over a wide range of engineering problems involving uncertain nonlinear models. Finally, an application on parameter identification is presented
  • Keywords
    constraint theory; modal analysis; operations research; parameter estimation; set theory; modal interval analysis; parameter identification; quantified constraints satisfaction problems; quantified set inversion; uncertain nonlinear models; Biology; Computational complexity; Control engineering; Electrical engineering; Equations; Joining processes; Mechanical engineering; Out of order; Parameter estimation; Reliability engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Control Systems Design, 2004 IEEE International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    0-7803-8636-1
  • Type

    conf

  • DOI
    10.1109/CACSD.2004.1393872
  • Filename
    1393872