| 引用本文: | 孙明轩 ， 黄宝健， 张学智.任意初态下不确定时滞系统的PD型迭代学习控制*[J].控制理论与应用,1998,15(6):853~858.[点击复制] |
| SUN Mingxuan， HUANG Baojian and ZHANG Xuezhi.PD-Type Iterative Learning Control for a Class ofUncertain Time-Delay Systems with Biased Initial State[J].Control Theory and Technology,1998,15(6):853~858.[点击复制] |
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| 任意初态下不确定时滞系统的PD型迭代学习控制* |
| PD-Type Iterative Learning Control for a Class ofUncertain Time-Delay Systems with Biased Initial State |
| 摘要点击 762 全文点击 382 投稿时间：1996-10-29 修订日期：1997-08-19 |
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| DOI编号 |
| 1998,15(6):853-858 |
| 中文关键词 初始条件问题 鲁棒收敛性 迭代学习控制 时滞系统 |
| 英文关键词 initial condition problem robust convergence iterarive learning control time-delay systemq |
| 基金项目 |
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| 中文摘要 |
| 针对不确定时滞系统讨论带有初始修正的PD型迭代学习控制算法，同乡会出这类系统的输出极限轨迹，以及迭代输出收敛于该极限轨迹的较弱的充分条件，其中将初始条件放宽为某任意可达初始状态函数的可重复性. 仿真结果表明这种算法中的初始修正项可以有效地抑制初始偏移的影响. |
| 英文摘要 |
| In this paper，by introducing an initial-update-action term into the PD-type learning law，a new learning control algorithm is proposed for perfect tracking of a class of uncertain time-delay systems with bi-ased inrtial state. A milder condition for the convergence of the learning control is proved. It is also demon-strated，by simulation，that the proposed algorithm yields a good performance even in the presence of a biased initial state. |