• DocumentCode
    3129864
  • Title

    Linear Independency of Interval Vectors and Its Applications to Robust Controllability Tests

  • Author

    Ahn, Hyo-Sung ; Moore, Kevin L. ; Chen, YangQuan

  • Author_Institution
    Student Member, IEEE, Center for Self-Organizing and Intelligent Systems (CSOIS), Dept. of Electrical and Computer Engineering, 4160 Old Main Hill, Utah State University, Logan, UT 84322-4160, USA. hyosung@cc.usu.edu, yqchen@ece.usu.edu
  • fYear
    2005
  • fDate
    12-15 Dec. 2005
  • Firstpage
    8070
  • Lastpage
    8075
  • Abstract
    In this paper, we define linear dependency and independency of the interval vectors and present an effective method for checking the linear independency of interval vectors. As a possible application of the interval vectors to the robust control problem, the robust controllability and un-controllability problems of uncertain interval system are solved. Through the numerical examples and by comparing with the existing results, the superiority of our new robust controllability test method is presented.
  • Keywords
    Interval vectors; Linear independency; Robust contrability trollability; Un-controllability; Uncertain systems; Application software; Controllability; Intelligent systems; Robust control; Robust stability; Testing; USA Councils; Uncertain systems; Uncertainty; Vectors; Interval vectors; Linear independency; Robust contrability trollability; Un-controllability; Uncertain systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
  • Print_ISBN
    0-7803-9567-0
  • Type

    conf

  • DOI
    10.1109/CDC.2005.1583468
  • Filename
    1583468