• DocumentCode
    496323
  • Title

    Static Output Feedback Robust Stabilization a Gradient Iterative LMI Approach

  • Author

    Zou, Dongsheng ; She, Longhua ; Chang, Wensen

  • Author_Institution
    Dept. of Mechatron. Eng. & Autom., Nat. Univ. of Defence Technol., Changsha, China
  • Volume
    1
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    567
  • Lastpage
    569
  • Abstract
    In order to see whether a linear system with ill-conditioned state matrix can be stabilized by static output feedback, by modifying the iterative linear matrix inequality (ILMI) algorithm, a gradient ILMI algorithm is proposed, which used the linear system matrix condition number as the termination term of iteration. Given certain closed loop system robust requirement, the new algorithm can get the maximum degree of stability and give clearly out the feedback gain matrix. Finally, those two algorithms used, the effects are contrasted that the numbers of output feedback variables have on the magnetic levitation control system.
  • Keywords
    closed loop systems; feedback; gradient methods; iterative methods; linear matrix inequalities; linear systems; magnetic levitation; robust control; closed loop system; feedback gain matrix; gradient iterative LMI approach; ill-conditioned state matrix; iterative linear matrix inequality algorithm; linear system; linear system matrix condition; magnetic levitation control system; static output feedback robust stabilization; Closed loop systems; Feedback loop; Iterative algorithms; Iterative methods; Linear matrix inequalities; Linear systems; Magnetic levitation; Output feedback; Robust stability; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.489
  • Filename
    5193760