• DocumentCode
    300564
  • Title

    Guaranteed convergence ratio of systems with time-varying uncertainties

  • Author

    Gu, Keqin

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Southern Illinois Univ., Edwardsville, IL, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    978
  • Abstract
    When the system is subject to possibly fast time varying uncertainties, there does not appear to be similar constraints discussed in the literature. This paper discusses one possible constraints of this type: a certain proportion of state change rate must be used for state convergence. When the uncertainty is absent, this constraint is equivalent to constraining the poles of the system to be within some circle with damping ratio at least at some specified value. The criterion is formulated in the form of a matrix inequality. This criterion can often be combined with other constraints expressible in the form of LMI or BMI without significantly complicating the numerical procedure. The state feedback control problem is also discussed
  • Keywords
    constraint theory; convergence of numerical methods; matrix algebra; state feedback; time-varying systems; constraints; guaranteed convergence ratio; matrix inequality; state change rate; state convergence; state feedback; time-varying systems; time-varying uncertainties; Artificial intelligence; Convergence; Damping; Design methodology; Feedback; Linear matrix inequalities; Stability criteria; Symmetric matrices; Time varying systems; 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.1995.529396
  • Filename
    529396