• DocumentCode
    3537140
  • Title

    A mixed deterministic and stochastic small gain theorem and its application to networked stabilization

  • Author

    Shuang Wan ; Li Qiu

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    6385
  • Lastpage
    6390
  • Abstract
    When both quantization and multiplicative noise are considered in a networked control system (NCS), the closed-loop involves both deterministic and stochastic uncertainties. Classical small gain theorems can handle the system stability with only one type of the uncertainties and hence need to be extended. In this paper we propose such a small gain theorem. The stochastic uncertainty is integrated with the linear time-invariant plant, and the stability condition of such systems with respect to deterministic uncertainties is characterized. Finally we apply the result to the NCS problem and acquire the stabilizability condition for the NCS.
  • Keywords
    closed loop systems; networked control systems; stability; stochastic systems; uncertain systems; NCS problem; closed-loop system; deterministic uncertainties; linear time-invariant plant; mixed deterministic gain theorem; multiplicative noise; networked control system; networked stabilization; quantization noise; stability condition; stochastic small gain theorem; stochastic uncertainties; system stability; Noise; Quantization (signal); Random variables; Stability analysis; Stochastic processes; Stochastic systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760899
  • Filename
    6760899