• DocumentCode
    231724
  • Title

    Robust stability of sampled-data control systems

  • Author

    Yanwen Liu ; Qingyong Guo ; Yuanhui Wang ; Songtao Zhang

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    4222
  • Lastpage
    4227
  • Abstract
    Because the inter-sample behavior can be considered, the lifting technique now becomes the unique method for design and analysis of sampled-data systems. However, when we consider the robust stability problem by using the small gain theorem, the state transition operator is zero, and the current lifting algorithms can not be used directly. The lifting computation formulas for the case of the robust stability analysis are derived in detail. Further study shows that when the lifting technique is used for robust stability analysis, its result is conservative. A new discretization method for robust stability analysis is proposed in the paper, and it is not conservative when the condition of the small gain theorem is used. Two examples are given here to illustrate the above ideas.
  • Keywords
    robust control; sampled data systems; discretization method; lifting technique; robust stability analysis; sampled data control system; small gain theorem; state transition operator; Control systems; Discrete-time systems; Equations; Mathematical model; Robust stability; Uncertainty; Visualization; conservative; lifting technique; robust stability; sampled-data control system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6895646
  • Filename
    6895646