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.
A function space approach to smoothing with applications to model error estimation for flexible spacecraft control
In: Conference on Decision and Control, 20th, and Symposium on Adaptive Processes ; 1981 ; San Diego, CA
1981-01-01
Miscellaneous
No indication
English
Model error estimation for large flexible spacecraft
NTRS | 1981
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