• DocumentCode
    1894301
  • Title

    Algebraic Methods for Function Reconstruction: Application to System Identification

  • Author

    Djaferis, Theodore E.

  • Author_Institution
    Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA
  • fYear
    2006
  • fDate
    28-30 June 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We consider functions that have a known structure but involve a number of unknown parameters. Specifically, we consider classes of functions that involve sums of exponential terms. The values of the function and some of its derivatives are given at a finite number of points and it is of interest to uniquely reconstruct the function from the given data. In this paper we consider this problem and suggest algebraic methods of solution. We also show how these methods can be used as the basis of algorithms for system identification. The methods are simple, mathematically rigorous and analytical in nature. In the case of low order systems they can be very easily presented and executed. These attributes make the techniques very appealing for introductory treatments of the subject matter for students in systems and control
  • Keywords
    algebra; functions; identification; algebraic method; exponential sum; function reconstruction; low order system; system identification; Control systems; Extraterrestrial phenomena; Interpolation; Mathematics; Meteorological radar; Meteorology; Sampling methods; Sensor phenomena and characterization; Spaceborne radar; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2006. MED '06. 14th Mediterranean Conference on
  • Conference_Location
    Ancona
  • Print_ISBN
    0-9786720-1-1
  • Electronic_ISBN
    0-9786720-0-3
  • Type

    conf

  • DOI
    10.1109/MED.2006.328875
  • Filename
    4125014