Iterative learning identification

An iterative learning identification method is proposed for curve identification problems. The basic idea is to convert the curve identification problem into an optimal tracking control problem. The measured trajectories are regarded as the desired trajectories to be optimally tracked and the curve...

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Bibliographic Details
Main Authors: Yangquan Chen, Changyun Wen, Huifang Dou, Mingxuan Sun
Format: Conference Proceeding
Language:English
Subjects:
Aerodynamics
Control systems
Convergence
Instruments
Iterative methods
Optimal control
Radar tracking
Sun
System testing
Trajectory
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Summary:An iterative learning identification method is proposed for curve identification problems. The basic idea is to convert the curve identification problem into an optimal tracking control problem. The measured trajectories are regarded as the desired trajectories to be optimally tracked and the curve to be identified is taken as a virtual control function. A high-order learning updating law is applied. A convergence condition is obtained in a general problem setting. Two case studies, which are related to the aerodynamic drag coefficient curve extraction from actual flight testing data, are presented to show the practical usefulness of the proposed method.
ISSN:0191-2216
DOI:10.1109/CDC.1997.649745