• DocumentCode
    1834994
  • Title

    Stability robustness analysis and design for linear systems with structured time-invariant uncertainty

  • Author

    Luo, J.S. ; Johnson, A. ; van den Bosch, P.P.J.

  • Author_Institution
    Kramers Lab., Delft, Netherlands
  • fYear
    1994
  • fDate
    7-9 Mar 1994
  • Firstpage
    403
  • Lastpage
    408
  • Abstract
    A new sufficient condition is derived from a general framework for linear state space models maintaining asymptotic stability in spite of existence uncertainty. Constant structured design problem is solved by using a numerical optimization program. In all examples we examined the results of stability robustness analysis and synthesis based on our sufficient condition are less conservative than those of existing methods
  • Keywords
    control system analysis; control system synthesis; linear systems; optimisation; state-space methods; asymptotic stability; existence uncertainty; linear state space models; linear systems; numerical optimization program; stability robustness analysis; stability robustness design; structured time-invariant uncertainty; sufficient condition; Asymptotic stability; Automatic control; Control system synthesis; Linear systems; Output feedback; Robust control; Robust stability; Stability analysis; Sufficient conditions; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Control System Design, 1994. Proceedings., IEEE/IFAC Joint Symposium on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-1800-5
  • Type

    conf

  • DOI
    10.1109/CACSD.1994.288899
  • Filename
    288899