• DocumentCode
    582539
  • Title

    Performance limitation analysis of networked control systems

  • Author

    Jie, Wu ; Xi-sheng, Zhan ; Hong-liang, Gao ; Xian-he, Zhang

  • Author_Institution
    Coll. of Mechatron. & Control Eng., Hubei Normal Univ., Huangshi, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    5786
  • Lastpage
    5790
  • Abstract
    The performance limitation analysis of single-input-single-output (SISO) networked control systems (NCSs) over signal-to-noise ratio (SNR) constrained channel is proposed in this paper. The performance index is measured by the energy of the error variance response between the output of the plant and the reference signal. The performance limitation is obtained by applying H2 square error criterion and the spectral factorization technique. It is shown that the performance limitation is constrained by nonminimum phase zeros, unstable poles of a given plant, the power spectral density of a given reference signal and SNR of communication channel. The result obtained in this work explicitly show how is the performance limitation limited by the SNR of communication channel. A typical example is given to illustrate the theoretical results.
  • Keywords
    H2 control; control system analysis; matrix decomposition; networked control systems; H2 square error criterion; NCS; SISO; SNR; communication channel; error variance response; performance limitation analysis; power spectral density; signal-to-noise ratio; single-input-single-output networked control systems; spectral factorization technique; Additive white noise; Artificial neural networks; Communication channels; Delay; Networked control systems; Poles and zeros; Signal to noise ratio; Analysis; Nonminimum phase zeros; Performance limitation; Unstable poles;
  • 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
    6390955