• DocumentCode
    1806861
  • Title

    Observer-based robust predictive control of singular systems with structured feedback uncertainty

  • Author

    Haiqiu, Ren ; Xiaohua, Liu

  • Author_Institution
    Math. & Inf. Dept., LuDong Univ., Yantai, China
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1253
  • Lastpage
    1258
  • Abstract
    This note is concerned with observer-based robust predictive control for the singular systems with structured feedback uncertainty, and the design method of observer-based robust predictive controller is proposed. With the method of linear matrix inequalities (LMIs), the infinite time domain “min-max” optimization problems are converted into convex optimization problems, then the sufficient conditions for the existence of this controller and its expression are derived. The robust stability of the closed-loop singular systems is guaranteed by the initial feasible solution of the optimization problems. The regular and the impulse-free of singular systems are also held.
  • Keywords
    closed loop systems; convex programming; feedback; linear matrix inequalities; minimax techniques; observers; predictive control; robust control; LMI; closed-loop singular systems; convex optimization problems; infinite time domain min-max optimization problems; linear matrix inequalities; observer-based robust predictive control; structured feedback uncertainty; Observers; Optimization; Periodic structures; Predictive control; Predictive models; Robustness; Uncertainty; Robust predictive control; linear matrix inequalities(LMIs); observer; singular systems; structured feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2011 8th Asian
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-61284-487-9
  • Electronic_ISBN
    978-89-956056-4-6
  • Type

    conf

  • Filename
    5899252