Convergence Analysis of Iterative Learning Control with respect to Lebesgue-p Norm
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发布时间：2025-04-30
发布时间：2025-04-30
论文名称：Convergence Analysis of Iterative Learning Control with respect to Lebesgue-p Norm
发表刊物：连续离散与脉冲系统动力学B辑
摘要：In this paper, a conventional PD-type iterative learning control strategy for linear time-invariant system to track unique desired trajectory is studied. In the study, the convergence of the iterative learning updating law is analyzed in the sense of Lebesgue-p norm by means of Hausdorff-Young inequality of convolution integral. In the analysis, it is shown that the convergence property depends on not only the derivative learning gain but also the proportional learning gain. The validity of the conclusion and the effectiveness of the proposed learning strategy are exhibited by numerical simulations.
合写作者： Xiaoe Ruan, Fengmin Chen, Jianguo Wang
卷号：增刊
页面范围：844-847
是否译文：否
发表时间：2007-06-18