• DocumentCode
    3713
  • Title

    Wiener´s Polynomial Chaos for the Analysis and Control of Nonlinear Dynamical Systems with Probabilistic Uncertainties [Historical Perspectives]

  • Author

    Kim, Kwang-Ki K. ; Shen, Dongying Erin ; Nagy, Zoltan K. ; Braatz, Richard

  • Author_Institution
    Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    33
  • Issue
    5
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    58
  • Lastpage
    67
  • Abstract
    One purpose of the "Historical Perspectives" column is to look back at work done by pioneers in control and related fields that has been neglected for many years but was later revived in the control literature. This column discusses the topic of Norbert Wiener\´s most cited paper, which proposed polynomial chaos expansions (PCEs) as a method for probabilistic uncertainty quantification in nonlinear dynamical systems. PCEs were almost completely ignored until the turn of the new millennium, when they rather suddenly attracted a huge amount of interest in the noncontrol literature. Although the control engineering community has studied uncertain systems for decades, all but a handful of researchers in the systems and control community have ignored PCEs. The purpose of this column is to present a concise introduction to PCEs, provide an overview of the theory and applications of PCE methods in the control literature, and to consider the question of why PCEs have only recently appeared in the control literature.
  • Keywords
    chaos; control system analysis; nonlinear control systems; nonlinear dynamical systems; polynomials; probability; uncertain systems; PCE; Wiener polynomial chaos expansion; nonlinear dynamical system analysis; nonlinear dynamical system control; probabilistic uncertainty quantification; uncertain systems; Approximation methods; Computational modeling; History; Mathematical model; Nonlinear systems; Probabilistic logic; Random variables; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/MCS.2013.2270410
  • Filename
    6595094