• DocumentCode
    582525
  • Title

    Intermittent quantized Kalman filtering and LQG control based on Lloyd-Max quantizer

  • Author

    Zhiping, Shen ; Junyong, Chen

  • Author_Institution
    Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    5698
  • Lastpage
    5703
  • Abstract
    The purpose of this paper is to discuss the batch intermittent quantized Kalman filter(BIQKF) and LQG control over lossy digital links using dynamic Lloyd-Max quantizer. A necessary and sufficient condition is presented for the Stability of the BIQKF. The condition, which is expressed in terms of the bit rate and the arrival probability initially. Under the assumption that the observation is approximately Gaussian, it is shown that the separation principle remains valid under the quantized output signal which is used to be transmitted over lossy networks. The optimal LQG controller is then given in terms of two Riccati difference equations associated respectively with the Kalman filter with intermittent quantized observations and the standard LQR control. The corresponding minimum cost is also derived.
  • Keywords
    Gaussian processes; Kalman filters; Riccati equations; approximation theory; control engineering computing; difference equations; linear quadratic Gaussian control; quantisation (signal); stability; wireless sensor networks; BIQKF stability; Gaussian approximation; LQG control; Lloyd-Max quantizer; Riccati difference equation; arrival probability; batch intermittent quantized Kalman filtering; bit rate; linear quadratic Gaussian control; lossy digital link; lossy network; minimum cost; necessary condition; separation principle; sufficient condition; wireless sensor network; Bit rate; Estimation; Kalman filters; Loss measurement; Quantization; Silicon; Wireless sensor networks; Information filter; Kalman filter; Lloyd-max quantizer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390939