Iterative Learning Identi
نویسندگان
چکیده
An iterative learning identiication method is proposed for curve identiication problems. The basic idea is to convert the curve identiication 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 identiied 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 coeecient curve extraction from actual ight testing data, are presented to show the practical usefulness of the proposed method.
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