A function space approach to smoothing is used to obtain a set of model error estimates inherent in a reduced-order model. By establishing knowledge of inevitable deficiencies in the truncated model, the error estimates provide a foundation for updating the model and thereby improving system performance. The function space smoothing solution leads to a specification of a method for computation of the model error estimates and development of model error analysis techniques for comparison between actual and estimated errors. The paper summarizes the model error estimation approach as well as an application arising in the area of modeling for spacecraft attitude control.


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    Title :

    A function space approach to smoothing with applications to model error estimation for flexible spacecraft control


    Contributors:

    Conference:

    In: Conference on Decision and Control, 20th, and Symposium on Adaptive Processes ; 1981 ; San Diego, CA


    Publication date :

    1981-01-01


    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English