• DocumentCode
    3551193
  • Title

    Current observer for sampled-data fuzzy systems

  • Author

    Lo, Ji-Chang ; Su, Chien-Hao

  • Author_Institution
    Fac. of Mech. Eng., Nat. Central Univ., Chung-Li, Taiwan
  • fYear
    2005
  • fDate
    8-10 June 2005
  • Firstpage
    4210
  • Abstract
    We investigate an observer synthesis and stability analysis involving sampled-data fuzzy systems arising from rapid growth of digital observer implementations. The underlying error system is shown to be asymptotically stable when intersampling effects are taken into account. Being a periodically time-varying hybrid (discrete/continuous) system, the Riccati inequality associated with the sampled-data fuzzy system poses difficulties for synthesis and analysis using LMI convex programming. To resolve the difficulties, a convex solution is assumed and the main result is expressed in LMI formulation. Lastly, the validity and applicability of the approach are demonstrated by an example.
  • Keywords
    Riccati equations; asymptotic stability; control system synthesis; convex programming; error analysis; fuzzy systems; linear matrix inequalities; observers; sampled data systems; time-varying systems; LMI; Riccati inequality; TS fuzzy model; asymptotic stability; continuous system; convex programming; current observer; digital observer; discrete system; error system; hybrid system; intersampling effect; linear matrix inequality; observer synthesis; periodically time-varying hybrid; sampled-data fuzzy system; stability analysis; Control systems; Fuzzy systems; Linear systems; Mechanical engineering; Nonlinear control systems; Nonlinear systems; Optimal control; Riccati equations; Sampling methods; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2005. Proceedings of the 2005
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-9098-9
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2005.1470639
  • Filename
    1470639