• DocumentCode
    592673
  • Title

    Stability of non-polynomial systems using differential inclusions and polynomial Lyapunov functions

  • Author

    Hexner, G.

  • Author_Institution
    RAFAEL, Adv. Defense Products, Haifa, Israel
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    2946
  • Lastpage
    2951
  • Abstract
    The concept of linear differential inclusions is generalized to approximate a non polynomial system by polynomial systems. In parallel with the use of linear differential inclusions in the study of non-linear system stability, the right hand side of the non-linear system is expressed as a convex combination of the approximating polynomials. A common Lyapunov function for the approximating polynomials establishes the stability of the non-linear system. The common polynomial Lyapunov function can be calculated by using the recently developed sum of squares methods.
  • Keywords
    Lyapunov methods; convex programming; nonlinear control systems; polynomial approximation; stability; common polynomial Lyapunov function; linear differential inclusions; nonlinear system stability; nonpolynomial systems stability; polynomial approximation; sum of squares methods; Approximation algorithms; Approximation methods; Asymptotic stability; Lyapunov methods; Optimization; Polynomials; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6427108
  • Filename
    6427108