Convergence Analysis in the Sense of Lebesgue-p Norm for Open-Closed-Loop Iterative learning Control
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发布时间：2025-04-30
发布时间：2025-04-30
论文名称：Convergence Analysis in the Sense of Lebesgue-p Norm for Open-Closed-Loop Iterative learning Control
发表刊物：第二十六届中国控制大会论文集
摘要：In this paper, a PD-type open-closed-loop iterative learning control strategy is studied for linear time-invariant system. By means of Hausdorff-Young inequality of involution integral, the convergence of the proposed open-closed-loop iterative learning control updating law is analyzed for a given system in the sense of Lebesgue-p norm. It is shown from the theoretical analysis that the sufficient condition for convergence in sense of Lebesgue-p norm is dominated by not only the derivative learning gains but also the proportional learning gains. A comparable conclusion is theoretically discussed and the advantage of the updating law is numerically simulated.
合写作者：Xiaoe Ruan, Fengmin Chen, Jiaoguo Wang
卷号：vol.2
页面范围：511-514
是否译文：否
发表时间：2007-07-30