| 引用本文: | 周颖,何磊,郑凤.具有时延和数据丢失的直线电机迭代学习控制[J].控制理论与应用,2017,34(12):1631~1636.[点击复制] |
| ZHOU Ying,HE Lei,ZHENG Feng.Iterative learning control for linear motor system with time delay and data dropout[J].Control Theory and Technology,2017,34(12):1631~1636.[点击复制] |
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| 具有时延和数据丢失的直线电机迭代学习控制 |
| Iterative learning control for linear motor system with time delay and data dropout |
| 摘要点击 1953 全文点击 1416 投稿时间：2016-06-12 修订日期：2017-09-05 |
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| DOI编号 10.7641/CTA.2017.60389 |
| 2017,34(12):1631-1636 |
| 中文关键词 数据丢失 一步时延 直线电机 迭代学习 |
| 英文关键词 data dropout one-step delay linear motor iterative learning |
| 基金项目 国家自然科学基金项目(61104103, 61473158) |
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| 中文摘要 |
| 针对网络环境下同时存在一步时延和数据丢失的直线电机系统, 本文研究了其P型迭代学习控制方法. 将
一步时延描述为概率已知的随机Bernoulli过程, 而将数据丢失描述为概率未知的随机Bernoulli过程, 且丢失概率属
于一个已知的数值区间. 然后, 利用范数理论给出了P型迭代学习控制算法的收敛条件, 通过适当选取学习增益因
子, 可使得直线电机控制系统的输出渐近收敛于期望输出. 最后通过仿真验证了本文所提控制方法的有效性 |
| 英文摘要 |
| For linear motor control system based on networks with one-step delay and data dropout, a P-type iterative
learning control method is studied in this paper. The one-step delay is described by a stochastic Bernoulli process with a
known probability. The data dropout is also described by a stochastic Bernoulli process, whose probability is unknown and
belongs to a known numerical interval. Then the convergence condition of the P-type algorithm is derived by using norm
theory. The output of the linear motor converges to the desired output asymptotically through choosing learning gain factor
properly. Finally a simulation is conducted and the results demonstrate the validity of the proposed design method. |