• DocumentCode
    3571110
  • Title

    Robust Stabilization for a Class of Uncertain Descriptor Systems via Both Proportional and Derivative State Feedback

  • Author

    Tian, Hui ; Hou, Yangfang

  • Author_Institution
    Sch. of Math. & Inf. Sci., Henan Polytech. Univ., Jiaozuo, China
  • Volume
    1
  • fYear
    2009
  • Firstpage
    874
  • Lastpage
    877
  • Abstract
    Firstly, the problem of robust stability is studied for a class of descriptor systems with structured uncertainties, whose nominal systems are normalizable. With linear matrix inequality (LMI), the equivalent existence condition of both proportional and derivative (P-D) state feedback is given , which results in the optimization problem. furthermore, a necessary and sufficient condition of robust quadratic stabilization will be obtained by introducing a fictitious input and a useful lemma. Finally, based on the equivalent condition, two algorithms for robust stabilizing controller are derived by solving the corresponding LMIs.
  • Keywords
    PD control; linear matrix inequalities; linear systems; optimisation; robust control; state feedback; uncertain systems; LMI method; P-D control; equivalent condition; linear matrix inequality; nominal system; optimization problem; proportional-and-derivative state feedback; robust quadratic stabilization; uncertain linear descriptor system; Linear matrix inequalities; Matrix decomposition; Riccati equations; Robust control; Robust stability; Robustness; State feedback; Sufficient conditions; Symmetric matrices; Uncertainty; linear matrix inequality(LMI); proportional and derivative (P-D) state feedback; robust quadratic stabilization; uncertain linear descriptor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.218
  • Filename
    5287514