• DocumentCode
    3464484
  • Title

    Convex hull generation methods for polytopic representations of LPV models

  • Author

    Baranyi, Peter

  • Author_Institution
    Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest
  • fYear
    2009
  • fDate
    30-31 Jan. 2009
  • Firstpage
    69
  • Lastpage
    74
  • Abstract
    The paper focuses on the control design of LPV and qLPV models via TS fuzzy model representation and Linear Matrix Inequality (LMI) based design under the Parallel Distributed Compensation control design framework. The related literature reports considerable research on how to manipulate with LMI´s to achieve better control performance. This paper shows that this effort is not enough, the optimization of the control performance must include the convex hull manipulation on the TS fuzzy model beside manipulating with the LMIs. The LMI´s guaranty the optimal solution for a given convex hull, but the convex hull representation is not invariant. Furthermore, the solutions by LMI´s are very sensitive for the convex hull. The paper proposes a systematic concept for various convex hull manipulation method.
  • Keywords
    control system synthesis; convex programming; fuzzy systems; linear matrix inequalities; linear systems; LPV models; TS fuzzy model representation; control design; convex hull generation methods; convex hull manipulation method; linear matrix inequality; linear parameter varying; parallel distributed compensation control design; polytopic representations; qLPV models; Concurrent computing; Control design; Design automation; Distributed computing; Electronic mail; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Power system modeling; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics, 2009. SAMI 2009. 7th International Symposium on
  • Conference_Location
    Herl´any
  • Print_ISBN
    978-1-4244-3801-3
  • Electronic_ISBN
    978-1-4244-3802-0
  • Type

    conf

  • DOI
    10.1109/SAMI.2009.4956611
  • Filename
    4956611