• DocumentCode
    702559
  • Title

    Fractional Fliess operators: Two approaches

  • Author

    Winter-Arboleda, Irina M. ; Gray, W. Steven ; Duffaut Espinosa, Luis A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA
  • fYear
    2015
  • fDate
    18-20 March 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A useful representation of an input-output map in a nonlinear control system is the Chen-Fliess functional series or Fliess operator. It can be viewed as a noncommutative generalization of a Taylor series, and its algebraic nature is especially well suited for a number of important applications. The objective of this paper is to describe a generalization of this class of operators, so called fractional Fliess operators. These are functional series whose coefficients have a certain fractional growth rate (Gevrey series) and whose iterated integrals are defined in terms of fractional integrals. The motivation for this idea is two-fold. First, fractional system theory is a well developed area with a variety of applications, so this concept is a natural generalization in its own right. But even in the classical case it has been observed that the cascade interconnection of two Fliess operators can result in a composite system that has a certain fractional nature. Hence, developing this generalization may also provide some insight into this issue.
  • Keywords
    mathematical operators; time series; Chen-Fliess functional series; cascade interconnection; composite system; fractional Fliess operators; fractional growth rate; fractional integrals; fractional system theory; functional series; input-output map representation; iterated integrals; nonlinear control system; Artificial intelligence; Computers; Convergence; Electronic mail; Fractional calculus; Laplace equations; Linear systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2015 49th Annual Conference on
  • Conference_Location
    Baltimore, MD
  • Type

    conf

  • DOI
    10.1109/CISS.2015.7086831
  • Filename
    7086831