• DocumentCode
    2648133
  • Title

    A MATLAB graphical user interface for nonintrusive polynomial chaos theory

  • Author

    Togawa, K. ; Benigni, A. ; Monti, A.

  • Author_Institution
    Inst. for Autom. of Complex Power Syst., RWTH Aachen Univ., Aachen, Germany
  • fYear
    2012
  • fDate
    11-13 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Polynomial chaos theory is a sophisticated method for the analysis of uncertainty propagation in dynamic systems, which is considerably faster than Monte Carlo methods in systems with few random parameters. Classically, all system laws are re-formulated into a deterministic set of equations, but in recent years, a nonintrusive variation has been developed to apply polynomial chaos to black boxes. However, a major constraint for the application of this concept is the depth of its mathematical foundations, followed by many adjustments. After a brief introduction of this concept, we would therefore like to present a graphical user interface which facilitates its use. Through this tool, the numerous difficulties in applying polynomial chaos become irrelevant for the user. Additionally, we show possible applications using the example of a buck converter, with a custom made interface tool between the commercial simulation environments MATLAB and SimulationX.
  • Keywords
    graphical user interfaces; mathematics computing; polynomials; MATLAB graphical user interface; SimulationX; black boxes; buck converter; mathematical foundations; nonintrusive polynomial chaos theory; uncertainty propagation; Chaos; Graphical user interfaces; Load modeling; Mathematical model; Polynomials; Random variables; Uncertainty; Simulation; Stochastic Systems; Uncertain Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complexity in Engineering (COMPENG), 2012
  • Conference_Location
    Aachen
  • Print_ISBN
    978-1-4673-1614-9
  • Type

    conf

  • DOI
    10.1109/CompEng.2012.6242955
  • Filename
    6242955