• DocumentCode
    3158531
  • Title

    An Optimal Dynamic Quantization Scheme for Control With Discrete-Valued Input

  • Author

    Azuma, Shun-ichi ; Sugie, Toshiharu

  • Author_Institution
    Kyoto Univ., Kyoto
  • fYear
    2007
  • fDate
    9-13 July 2007
  • Firstpage
    3576
  • Lastpage
    3581
  • Abstract
    This paper presents optimal dynamic quantizers for controlling linear time-invariant systems with the discrete- valued input. The quantizers considered here are in the form of a difference equation, for which we find a quantizer such that the system composed of a given linear plant and the quantizer is an optimal approximation of the given linear plant in the sense of the input-output relation. First, we derive a closed form expression for the performance (the degree of the approximation) of a class of dynamic quantizers. Next, based on this, an optimal dynamic quantizer and its performance, corresponding to the performance limitation of the dynamic quantizers, are provided. Finally, the validity of the proposed quantizer is shown by numerical simulations.
  • Keywords
    approximation theory; difference equations; discrete systems; linear systems; optimal control; difference equation; discrete-valued input; input-output relation; linear plant; linear time-invariant systems; optimal approximation; optimal dynamic quantization scheme; Cities and towns; Control systems; Controllability; Difference equations; Feedback control; Networked control systems; Nonlinear dynamical systems; Numerical simulation; Optimal control; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2007. ACC '07
  • Conference_Location
    New York, NY
  • ISSN
    0743-1619
  • Print_ISBN
    1-4244-0988-8
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2007.4282140
  • Filename
    4282140