• DocumentCode
    183737
  • Title

    Robust signal-to-noise ratio constrained feedback control

  • Author

    Rojas, A.J.

  • Author_Institution
    Dept. de Ing. Electr., Univ. de Concepcion, Concepcion, Chile
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    5651
  • Lastpage
    5656
  • Abstract
    The explicit consideration of a communication channel model in a feedback control loop is known to create a new type of fundamental limitation for stabilisability on the channel signal-to-noise ratio (SNR) when the continuous-time plant model is unstable. In this paper we quantify these type of limitations subject to model uncertainties when a robust controller is in place instead of the optimal SNR controller. We consider here the additive coloured Gaussian channel with bandwidth limitation model, for which we then quantify the infimal SNR subject to the simultaneous presence of plant, channel and noise model uncertainties. We observe that the infimal SNR expression is modified by the presence of model uncertainties and by the mismatch between the robust controller solution and the optimal controller solution achieving the infimal SNR limitation.
  • Keywords
    AWGN channels; continuous time systems; control system synthesis; feedback; optimal control; robust control; uncertain systems; additive coloured Gaussian channel; bandwidth limitation model; channe uncertainties; channel signal-to-noise ratio; communication channel model; continuous-time plant model; control design; infimal SNR limitation; noise model uncertainties; optimal controller solution; robust signal-to-noise ratio constrained feedback control loop; stabilisability; Channel models; Poles and zeros; Robustness; Sensitivity; Signal to noise ratio; Uncertainty; Linear systems; Networked control systems; Stability of linear systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858755
  • Filename
    6858755