• DocumentCode
    434590
  • Title

    Self-bounded controlled invariant subspaces in measurable signal decoupling with stability: minimal-order feedforward solution for non-left-invertible systems

  • Author

    Zattoni, Elena

  • Author_Institution
    Dept. of Electron., Comput. Sci., & Syst., Bologna Univ., Italy
  • Volume
    1
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    340
  • Abstract
    The structural properties of self-bounded controlled invariant subspaces are fundamental to the synthesis of a dynamic feedforward compensator achieving insensitivity of the controlled output to a disturbance input accessible for measurement, on the assumption that the system is stable or pre-stabilized by an inner feedback. The control system herein devised has several important features: i) minimum order of the feedforward compensator; ii) minimum number of unassignable dynamics internal to the feedforward compensator; iii) maximum number of dynamics, external to the feedforward compensator, arbitrarily assignable by a possible inner feedback. From the numerical point of view, the design method herein detailed does not involve any computation of eigenspaces, which may be critical for systems of high order. The procedure is first presented for left-invertible systems. Then, it is extended to non-left-invertible systems by means of a simple, strictly geometric, squaring-down technique.
  • Keywords
    control system synthesis; feedforward; invariance; stability; time-varying systems; dynamic feedforward compensator; measurable signal decoupling; minimal-order feedforward solution; nonleft-invertible systems; self-bounded controlled invariant subspaces; simple strictly geometric squaring-down technique; unassignable dynamics; Computer science; Control system synthesis; Control systems; Design methodology; Eigenvalues and eigenfunctions; Null space; Output feedback; Signal synthesis; Stability; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1428653
  • Filename
    1428653