A parameter and state estimation technique for distributed models is demonstrated through the solution of a problem generic to large space antenna system identification. Assuming the position of the reflective surface of the maypole (hoop/column) antenna to be approximated by the static two-dimensional, stretched-membrane partial differential equation with variable-stiffness coefficient functions, a spline-based approximation procedure is described that estimates the shape and stiffness functions from data set observations. For given stiffness functions, the Galerkin projection with linear spline-based functions is applied to project the distributed problem onto a finite-dimensional subspace wherein algebraic equations exist for determining a static shape (state) prediction. The stiffness functions are then parameterized by cubic splines and the parameters estimated by an output error technique. Numerical results are presented for data descriptive of a 100-m-diameter maypole antenna.


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    Titel :

    Spline-based distributed system identification with application to large space antennas


    Beteiligte:
    Banks, H. T. (Autor:in) / Lamm, P. K. (Autor:in) / Armstrong, E. S. (Autor:in)


    Erscheinungsdatum :

    1986-06-01



    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch




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