• DocumentCode
    574851
  • Title

    Robust pole placement for plants with semialgebraic parametric uncertainty

  • Author

    Cerone, Vito ; Piga, Dario ; Regruto, Diego

  • Author_Institution
    Dipt. di Autom. e Inf., Politec. di Torino, Torino, Italy
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    5240
  • Lastpage
    5245
  • Abstract
    In this paper we address the problem of robust pole placement for linear-time-invariant systems whose uncertain parameters are assumed to belong to a semialgebraic region. A dynamic controller is designed in order to constrain the coefficients of the closed-loop characteristic polynomial within prescribed intervals. Two main topics arising from the problem of robust pole placement are tackled by means of polynomial optimization. First, necessary conditions on the plant parameters for the existence of a robust controller are given. Then, the set of all admissible robust controllers is sought. Convex relaxation techniques based on sum-of-square decomposition of positive polynomials are used to efficiently solve the formulated optimization problems through semidefinite programming techniques.
  • Keywords
    closed loop systems; control system synthesis; linear systems; optimisation; pole assignment; polynomials; robust control; uncertain systems; closed-loop characteristic polynomial; convex relaxation techniques; dynamic controller; formulated optimization problems; linear-time-invariant systems; necessary conditions; plants; polynomial optimization; robust pole placement; semialgebraic parametric uncertainty; semidefinite programming techniques; sum-of-square decomposition; Mathematical model; Optimization; Polynomials; Robustness; Transfer functions; Uncertainty; Robust coprimeness; Robust pole placement; Semialgebraic uncertainty; Sum-of-square decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6315548
  • Filename
    6315548