• DocumentCode
    435137
  • Title

    Stability of quantized linear systems with bounded noise under dynamic bit assignment

  • Author

    Ling, Qiang ; Lemmon, Michael D.

  • Author_Institution
    Dept. of Electr. Eng., Notre Dame Univ., IN, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    1454
  • Abstract
    This paper studies the stability of quantized linear control systems with external noise under the fixed-length coding policies. A vector of feedback measurements is quantized prior to being transmitted over a communication channel. This transmitted data may be dropped by the channel. This paper derives a lower bound on the number of quantization levels for closed-loop stability under fixed-length coding policies. Prior studies consider each component of the feedback vector separately, which may not achieve the above lower bound. This paper considers the feedback vector as a whole and introduces a dynamic bit assignment algorithm that is shown to achieve this lower bound.
  • Keywords
    closed loop systems; discrete systems; encoding; feedback; linear systems; quantisation (signal); stability; bounded noise; closed-loop stability; communication channel; dynamic bit assignment; external noise; feedback measurement; feedback vector; fixed-length coding policies; quantized linear control system; system stability; transmitted data; Closed loop systems; Communication channels; Communication system control; Control systems; Decoding; Feedback; Linear systems; Quantization; Stability; Uncertainty;
  • 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.2004.1430248
  • Filename
    1430248