• DocumentCode
    3086770
  • Title

    Some conditions for almost strict positive realness

  • Author

    Livnch, R. ; McLaren, M.D. ; Slater, G.L.

  • Author_Institution
    Dept. of Aerosp. Eng. & Eng. Mech., Cincinnati Univ., OH, USA
  • fYear
    1990
  • fDate
    5-7 Dec 1990
  • Firstpage
    2512
  • Abstract
    The requirement for an `almost strictly positive real´ (ASPR) system as a part of the stability analysis of the `simplified adaptive controller´ is considered. This property is examined for minimum-phase system and is related to output stabilizability and to the steady-state Riccati equation. A numerical procedure is developed to determine whether a given system is ASPR, and its application is illustrated with an example. The algorithm exhibits excellent convergence for all minimum-phase cases with collocated sensors/actuators, but does not perform as well in the presence of small perturbations in the collocated output matrix C. However, as is common in numerical procedures of this sort, failure of the algorithm does not prove that a given system is not ASPR
  • Keywords
    adaptive control; control system analysis; convergence of numerical methods; stability criteria; Riccati equation; adaptive controller; almost strict positive real systems; convergence; minimum-phase system; stability analysis; Eigenvalues and eigenfunctions; Filtering theory; Kirchhoff´s Law; Open loop systems; Output feedback; Transfer functions; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/CDC.1990.204079
  • Filename
    204079