• DocumentCode
    320004
  • Title

    Rank one representations

  • Author

    Arehart, Alan B. ; Wolovich, Williani A.

  • Author_Institution
    Lab. for Eng. Man/Machine Syst., Brown Univ., Providence, RI, USA
  • Volume
    4
  • fYear
    1997
  • fDate
    10-12 Dec 1997
  • Firstpage
    3791
  • Abstract
    A rank one representation is a new way to represent a linear system which, in many cases, makes it very easy to determine stabilising linear output feedback gains. This paper extends previous research in two ways. First we show a new way to derive rank one representations from state space representations by inspection. Then we show a new way to use rank one representations in conjunction with nonlinear programming to determine stabilizing linear output feedback gains for systems which undergo sensor or actuator failures
  • Keywords
    differential equations; feedback; linear systems; modelling; nonlinear programming; stability; state-space methods; actuator failures; differential operator representation; linear system; nonlinear programming; rank one representation; sensor failures; stabilising linear output feedback gains; state space representations; Gain; Hydraulic actuators; Inspection; Laboratories; Linear programming; Linear systems; Output feedback; Polynomials; Sensor systems; State-space methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4187-2
  • Type

    conf

  • DOI
    10.1109/CDC.1997.652448
  • Filename
    652448