波浪线性重复过程的迭代学习控制

B. Cichy, K. Gałkowski, E. Rogers, A. Kummert
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引用次数: 3

摘要

迭代学习控制(ILC)是2D线性系统(称为重复过程)的一个应用领域,最近有实验证据支持这种方法可能实现的性能。在本文中,我们将ILC方法扩展到通常由偏微分方程离散化产生的二维线性系统,特别是时空动力学。将ILC方案应用于具有这种动力学特性的系统,实际上为过程描述增加了一个额外的不确定性(试验号),并导致需要分析三维系统。本文的研究结果是第一个关于ILC控制律设计的研究,并通过数值仿真说明了其可能的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Iterative Learning Control for wave linear repetitive processes
Iterative Learning Control (ILC) is one application area for the class of 2D linear systems known as repetitive processes where recently experimental evidence to support the performance possible by this approach has been reported. In this paper, we extend the ILC approach to the class of 2D linear systems that often arise from discretization of partial differential equations and, in particular, spatio-temporal dynamics. Application of ILC scheme to a system with such dynamics adds, in effect, one extra indeterminate (the trial number) to the process description and results in the need to analyze a 3D system. The results developed in this paper are the first on ILC control law design and the performance possible is illustrated by numerical simulations.
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