• DocumentCode
    321224
  • Title

    Analysis of affinely parameter-varying systems using parameter-dependent Lyapunov functions

  • Author

    Sparks, Andrew G.

  • Author_Institution
    Wright Patterson Air Force Base, OH, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    10-12 Dec 1997
  • Firstpage
    990
  • Abstract
    Stability and performance of linear parameter-varying systems whose parameters appear affinely are considered. Parameter dependent Lyapunov functions and the S-procedure are used to derive convex conditions in the form of linear matrix inequalities (LMI) that guarantee stability and an induced L2 norm bound for all allowable parameter variations. In each case, the parameter dependence is eliminated from the LMI so that no parameter gridding is required to verify the condition. The new analysis technique is an improvement over existing results that require LMI to be evaluated over a dense grid of parameter values
  • Keywords
    Lyapunov methods; control system analysis; matrix algebra; optimal control; stability criteria; time-varying systems; LMI; S-procedure; affinely parameter-varying system analysis; induced L2 norm bound; linear matrix inequalities; parameter-dependent Lyapunov functions; performance; stability; Artificial intelligence; Ear; Linear matrix inequalities; Lyapunov method; Robustness; Sparks; Stability; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4187-2
  • Type

    conf

  • DOI
    10.1109/CDC.1997.657573
  • Filename
    657573