• DocumentCode
    294372
  • Title

    Combining L1 and L2 methods in the robust stability and performance analysis of nonlinear systems

  • Author

    Megretski, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    3176
  • Abstract
    In this paper, possible benefits of combining the two frameworks in the robust control are discussed. In particular, it is shown that the well-known absolute stability criterion by Zames-Falb (1968) for systems with monotonic nonlinearities (in particular, for systems with saturation) can be improved by using the magnitude bounds derived from the “L1” theory. In conjunction with this result, a lower bound of the Zames-Falb stability margin is derived, by using a duality approach. In the second part of the paper, it is shown how the analysis of the worst case output error magnitude of nonlinear uncertain systems (robust performance in the “L1” setting) can be improved by using the known absolute stability (“L2”) techniques
  • Keywords
    absolute stability; asymptotic stability; control system analysis; feedback; nonlinear systems; optimal control; robust control; uncertain systems; L1 methods; L2 methods; absolute stability; asymptotic stability; feedback; lower bound; nonlinear systems; performance analysis; robust control; saturated control; uncertain systems; worst case output error; Constraint theory; Nonlinear systems; Performance analysis; Robust control; Robust stability; Signal analysis; Stability analysis; Stability criteria; Time series analysis; Uncertain systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.478636
  • Filename
    478636