• DocumentCode
    2819869
  • Title

    Input-to-state stabilization with minimum number of quantization regions

  • Author

    Sharon, Yoav ; Liberzon, Daniel

  • Author_Institution
    Univ. of Illinois at Urbana-Champaign, Urbana
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    20
  • Lastpage
    25
  • Abstract
    We study control systems where the state measurements are quantized and time-sampled, and an unknown disturbance is being applied. We present a dynamic quantization scheme that switches between three modes of operation. We show that by using this scheme with a continuous static feedback controller we achieve a closed-loop system which has the input-to-state stability property (ISS). Our design does not use any characterization of the disturbance; as long as the disturbance is bounded the system will remain stable. We show that three quantization regions per dimension is sufficient to achieve the ISS property, and furthermore we show that the ISS property is achievable using a data rate that is arbitrarily close to the minimum required data rate when no disturbance is applied.
  • Keywords
    closed loop systems; continuous systems; control system synthesis; feedback; stability; closed-loop system; continuous static feedback controller; dynamic quantization; input-to-state stabilization; quantization regions; Adaptive control; Control systems; Coordinate measuring machines; Electric variables measurement; Extraterrestrial measurements; Quantization; Sampling methods; Stability; Switches; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434339
  • Filename
    4434339