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Iterative learning control utilizing the error prediction method
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DOI：10.1023/A:1008099704692.png)
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Abstract
En 中文
In this paper, iterative learning control utilizing the error prediction method is proposed for a class of linear time varying systems subjected to disturbances. Prediction of the error is done by identifying the system time varying parameters. Convergence of the proposed method is analyzed and the uniform boundedness of tracking error is obtained in the presence of uncertainty and disturbances. It is shown that the learning algorithm not only guarantees the robustness, but also improves the learning rate despite the presence of disturbances. The effectiveness of the proposed method is presented by simulations.
Keywords:
iterative learning control
linear time varying system
prediction
convergence
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