• DocumentCode
    300489
  • Title

    Advances in the computation of the μ lower bound

  • Author

    Newlin, Matthew P. ; Glavaski, Sonja T.

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    442
  • Abstract
    Although the mixed μ problem is NP hard and exact general computation is futile, computation of bounds is reasonable and useful. This paper presents a new scheme for lower bound computation for the mixed μ problem. Extensive tests on particularly difficult problems show that this new scheme is a substantial improvement over previous algorithms
  • Keywords
    computational complexity; control system analysis; convergence of numerical methods; eigenvalues and eigenfunctions; iterative methods; robust control; μ-lower bound; NP hard problem; convergence; eigenvectors; iterative method; lower bound; mixed μ problem; robust control; Approximation algorithms; Computational complexity; Convergence; Eigenvalues and eigenfunctions; Heuristic algorithms; NP-hard problem; Polynomials; Rail to rail inputs; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, Proceedings of the 1995
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2445-5
  • Type

    conf

  • DOI
    10.1109/ACC.1995.529286
  • Filename
    529286