• DocumentCode
    306957
  • Title

    Robust simulation and nonlinear performance

  • Author

    Kantner, Michael ; Doyle, John

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    2622
  • Abstract
    Robust simulation, defined as the simulation of sets, allows the computation of a system´s global properties. By simulating entire sets, instead of individual points, performance guarantees can made. While exact algorithms for robust simulation are computationally prohibitive, reasonable approximations which preserve performance guarantees exist. An approximate solution, which provides an upper bound on performance, is tested on a large number of systems. In general, the upper bound is close to the best lower bound computed by search. Furthermore, when the bounds differ, several techniques exist to improve the upper bound
  • Keywords
    computational complexity; nonlinear systems; simulation; computational complexity; nonlinear performance; performance upper bound; robust simulation; Acoustic noise; Computational modeling; Linear systems; Noise robustness; Nonlinear systems; Piecewise linear approximation; Piecewise linear techniques; Stability; System testing; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.573498
  • Filename
    573498