• DocumentCode
    1402864
  • Title

    New results on the separation of matrix eigenvalues and the clustering of matrix elements

  • Author

    Kurek, Jerzy E.

  • Author_Institution
    Inst. Autom. i Robotyki, Politech. Warszawskiej, Poland
  • Volume
    42
  • Issue
    4
  • fYear
    1997
  • fDate
    4/1/1997 12:00:00 AM
  • Firstpage
    564
  • Lastpage
    567
  • Abstract
    The problem of separation of matrix eigenvalues is considered in this paper. Necessary and sufficient conditions are given for a matrix to have all eigenvalues contained in an open set defined on the complex plane by a separable polynomial γ(z1, z2). The problem of clustering of matrix elements is also considered. In this case, a set of matrices is identified, having all eigenvalues in a given subset of the complex plane. The presented results can be useful in both robust stability analysis and the design of control systems
  • Keywords
    control system analysis; control system synthesis; eigenvalues and eigenfunctions; matrix algebra; robust control; control system design; matrix eigenvalue separation; matrix element clustering; necessary and sufficient conditions; robust stability analysis; separable polynomial; Control systems; Eigenvalues and eigenfunctions; Linear systems; Lyapunov method; Polynomials; Robotics and automation; Robust stability; Stability analysis; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.566670
  • Filename
    566670