• DocumentCode
    1682267
  • Title

    Finite-horizon quantized estimation using sector bound approach

  • Author

    Wei, Li ; Zhang, Huanshui ; Fu, Minyue

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2010
  • Firstpage
    900
  • Lastpage
    903
  • Abstract
    This paper is concerned with the finite-horizon filtering estimation problem by using the reductive information of the true quantized measurements from the measurements. We consider the case where quantizer is logarithmic, an upper bound of the estimation error covariance is derived for all the quantized measurements. The calculation of the filter involves solving two Riccati recursions related to the quantized measurements.
  • Keywords
    estimation theory; quantisation (signal); Riccati recursion; estimation error covariance; finite-horizon filtering estimation; finite-horizon quantized estimation; logarithmic; quantizer; reductive information; sector bound approach; true quantized measurement; Estimation error; Feedback control; Measurement uncertainty; Riccati equations; Robustness; Upper bound; Discrete-time system; logarithmic quantizer; quantized estimation; sector bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554244
  • Filename
    5554244