• DocumentCode
    115661
  • Title

    Stability criteria for uncertain linear time-varying systems

  • Author

    Pandey, Amit P. ; Sehr, Martin A. ; de Oliveira, Mauricio C.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Univ. of California San Diego, La Jolla, CA, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    4795
  • Lastpage
    4800
  • Abstract
    In this paper robust stability of continuous linear time-varying systems is addressed based on Lyapunov functions which are constructed by max-composition of continuously differentiable functions. The resulting Lyapunov functions are continuous but not necessarily differentiable and no individual component needs to be positive definite. When the components are quadratic functions it will be possible to prove robust stability of systems which fail the classic quadratic stability test. The resulting conditions are matrix inequalities which are linear after choosing a set of tuning parameters. The robust stability condition is also extended to provide upper-bounds on integral performance measures.
  • Keywords
    Lyapunov methods; continuous time systems; linear systems; matrix algebra; stability; time-varying systems; uncertain systems; Lyapunov functions; continuous systems; continuously differentiable functions; integral performance measures; matrix inequalities; max-composition; quadratic functions; quadratic stability test; robust stability; tuning parameters; uncertain linear time-varying systems; Asymptotic stability; Lyapunov methods; Robust stability; Stability criteria; Time-varying systems; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040137
  • Filename
    7040137