利用经验在迭代学习控制中获得更好的收敛性

SICE '99. Proceedings of the 38th SICE Annual Conference. International Session Papers (IEEE Cat. No.99TH8456) Pub Date : 1999-07-28 DOI:10.1109/SICE.1999.788726

M. Arif, Teruo Ishihara, H. Inooka

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引用次数: 1

摘要

提出了一种将经验融入迭代学习控制器的方法。提出了在不改变控制器结构的情况下，利用控制器以往的经验选择新的期望轨迹跟踪任务的初始控制输入，可以提高迭代学习控制器的收敛性。因此本文提出的方法具有很强的通用性，适用于大多数迭代学习控制算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Using experience to get better convergence in iterative learning control

A method of incorporating experience in iterative learning controllers is proposed. It is proposed that if the previous experience of the controller can be used in the selection of the initial control input for a new desired trajectory tracking task, the convergence of the iterative learning controller can be improved without modifying the structure of the controllers. Therefore the method proposed in the paper is very general and is applicable to most of the iterative learning control algorithms.

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来源期刊

SICE '99. Proceedings of the 38th SICE Annual Conference. International Session Papers (IEEE Cat. No.99TH8456)

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