• DocumentCode
    487095
  • Title

    Stability Analysis of Linear Interval Systems: Polynomial vs. Matrix Approach

  • Author

    Yedavalli, Rama K.

  • Author_Institution
    Department of Electrical Engineering, The University of Toledo, Toledo, Ohio 43606
  • fYear
    1987
  • fDate
    10-12 June 1987
  • Firstpage
    1579
  • Lastpage
    1583
  • Abstract
    This paper addresses the issue of stability robustness for linear dynamical systems described by interval matrices. We briefly review two different approaches available, namely polynomial approach and matrix approach. In the polynomial approach, the interval matrices are converted to interval polynomials and the stability tested by the available methods on the Burwitz invariance of a family of polynomials out of which the most noteworthy being the "Kharitonov" test. In the matrix approach, the analysis is done directly in the matrix domain using methods such as the Elemental Perturbation Bound Analysis presented by the author (which uses Lyapunov theory as a tool), Gershgorin\´s diagonal dominance approach as well as some indirect methods involving the testing of definiteness of a matrix function. It is shown with the help of an example that the "elemental" bound approach turns out to be successful in predicting the stability while the polynomial approach fails to do so.
  • Keywords
    Availability; Eigenvalues and eigenfunctions; Failure analysis; Matrix converters; Polynomials; Robust stability; Stability analysis; Sufficient conditions; Symmetric matrices; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1987
  • Conference_Location
    Minneapolis, MN, USA
  • Type

    conf

  • Filename
    4789565