• DocumentCode
    184871
  • Title

    On robust stability of aperiodic sampled-data systems - An integral quadratic constraint approach

  • Author

    Chung-Yao Kao ; Dian-Rong Wu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    4871
  • Lastpage
    4876
  • Abstract
    This manuscript is concerned with stability analysis of sampled-data systems with non-uniform sampling patterns. The stability problem is tackled from a continuous-time point of view, via the so-called “input delay approach”, where the “aperiodic sampling operation” is modelled by a “average delay-difference” operator for which characterization based on integral quadratic constrains (IQC) is identified. The system is then viewed as feedback interconnection of a stable linear time-varying system and the “average delay-difference” operator. With the IQCs identified for the “average delay-difference” operator, the IQC theory is applied to derive convex stability conditions. Results of numerical tests are given to illustrate the effectiveness of the proposed approach.
  • Keywords
    continuous time systems; delay systems; feedback; integral equations; linear systems; robust control; sampled data systems; time-varying systems; IQC theory; aperiodic sampled-data systems; aperiodic sampling operation; average delay-difference operator; continuous-time system; convex stability conditions; feedback interconnection; input delay approach; integral quadratic constrains; integral quadratic constraint approach; linear time-varying system stabilization; nonuniform sampling patterns; numerical tests; robust stability; Delays; Linear matrix inequalities; Numerical stability; Robust stability; Stability criteria; Symmetric matrices; Delay systems; Stability of linear systems; Uncertain systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6859334
  • Filename
    6859334